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CN113437752A - A comprehensive energy system operation control method with hybrid energy storage - Google Patents

A comprehensive energy system operation control method with hybrid energy storage
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CN113437752A
CN113437752ACN202110694608.9ACN202110694608ACN113437752ACN 113437752 ACN113437752 ACN 113437752ACN 202110694608 ACN202110694608 ACN 202110694608ACN 113437752 ACN113437752 ACN 113437752A
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张鹏
唐若愚
周步祥
臧天磊
张越
罗欢
董申
陈实
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Sichuan University
Dongfang Electric Machinery Co Ltd DEC
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Abstract

Translated fromChinese

本申请提供了一种含混合储能的综合能源系统运行控制方法,涉及涉及能源调度技术领域。从储能装置的实际运行情况出发,构建包含分布式储能装置、分布式能源发生装置以及能量转换装置的预设含混合储能的综合能源系统,该预设含混合储能的综合能源系统可以是虚拟发电厂,对虚拟发电厂内的各个设备进行详细的独立建模,并针对混合储能的综合能源虚拟电厂,综合考虑能量平衡约束、混合储能约束、设备运行约束以及能量传输网络约束,最后以收益最大和能量损耗最小为目标函数,建立混合储能的综合能源虚拟电厂的优化调度模型,得出分布式储能装置中各个设备的电能转化量,以通过储能装置的电能转化补偿分布式能源的随机波动性、间歇性。

Figure 202110694608

The application provides an operation control method of an integrated energy system including hybrid energy storage, which relates to the technical field of energy dispatching. Starting from the actual operation of the energy storage device, construct a preset integrated energy system with hybrid energy storage including distributed energy storage devices, distributed energy generation devices and energy conversion devices. The preset integrated energy system with hybrid energy storage It can be a virtual power plant, which conducts detailed and independent modeling of each equipment in the virtual power plant, and comprehensively considers energy balance constraints, hybrid energy storage constraints, equipment operation constraints and energy transmission network for the integrated energy virtual power plant with hybrid energy storage. Finally, with the maximum revenue and the minimum energy loss as the objective functions, the optimal dispatch model of the hybrid energy storage integrated energy virtual power plant is established, and the electric energy conversion of each device in the distributed energy storage device is obtained to pass the energy of the energy storage device. The transformation compensates for the random volatility and intermittency of distributed energy.

Figure 202110694608

Description

Translated fromChinese
一种含混合储能的综合能源系统运行控制方法An operation control method of an integrated energy system with hybrid energy storage

技术领域technical field

本申请涉及能源调度技术领域,特别是涉及一种含混合储能的综合能源系统运行控制方法。The present application relates to the technical field of energy dispatching, and in particular, to an operation control method for an integrated energy system including hybrid energy storage.

背景技术Background technique

能源是全球社会运转和发展的重要基础,长期以来,由于人类过度依赖资源有限的化石能源,造成不容忽视的环境污染问题。应对能源枯竭和环境污染问题,清洁能源例如电、天然气以及新能源逐渐从研究走向应用。Energy is an important foundation for the operation and development of the global society. For a long time, human beings have been overly reliant on fossil energy with limited resources, causing environmental pollution problems that cannot be ignored. To cope with the problems of energy depletion and environmental pollution, clean energy such as electricity, natural gas and new energy are gradually moving from research to application.

不同地域新能源分布不均,例如具有足够风能用于发电的地区主要在北方平原、草原等开阔地区;能够进行光伏发电的地区集中在高原;能够进行河道水力发电的地区多在黄河、长江沿岸。同时,不同地域用电量、用电情况、用电峰值不同,例如珠三角地区多工厂,白天高压电用电量较大;各地省会大城市人口较多,多在夜晚出现低压电用电峰值。基于上述现状,能源调度与分配的合理性和即时性尤为重要。The distribution of new energy in different regions is uneven. For example, the areas with sufficient wind energy for power generation are mainly in open areas such as the northern plains and grasslands; the areas capable of photovoltaic power generation are concentrated in the plateau; the areas capable of river hydropower generation are mostly along the Yellow River and the Yangtze River. . At the same time, different regions have different electricity consumption, electricity consumption, and peak electricity consumption. For example, there are many factories in the Pearl River Delta region, and high-voltage electricity consumption is large during the day; provincial capitals and large cities have a large population, and low-voltage electricity consumption occurs at night. peak. Based on the above situation, the rationality and immediacy of energy dispatch and distribution are particularly important.

现有技术下,普遍通过铺设输电网络调整电力的调度与分配,然而电路网络设置周期较长,无法应对突发的用电峰值或其他用电状况。In the prior art, power dispatching and distribution are generally adjusted by laying a power transmission network. However, the circuit network has a long setting period and cannot cope with sudden power consumption peaks or other power consumption conditions.

发明内容SUMMARY OF THE INVENTION

本申请实施例提供一种含混合储能的综合能源系统运行控制方法,能以分布式储能装置的充电量或放电量协调各区域之间的能量需求,进而调整各区域之间的用电峰值或其他用电状况。The embodiments of the present application provide an operation control method for an integrated energy system including hybrid energy storage, which can coordinate the energy demand between regions with the charge or discharge amount of a distributed energy storage device, thereby adjusting the electricity consumption between regions Peak or other power usage conditions.

本申请实施例供一种含混合储能的综合能源系统运行控制方法,所述方法包括:The embodiment of the present application provides an operation control method for an integrated energy system including hybrid energy storage, the method comprising:

根据可再生能源的消纳需求,将分布式储能装置加入电热气综合能源系统,得到预设含混合储能的综合能源系统;其中,所述电热气综合能源系统包括分布式能源发生装置;According to the consumption demand of renewable energy, the distributed energy storage device is added to the electric-heat-gas integrated energy system to obtain a preset integrated energy system including mixed energy storage; wherein, the electric-heat-gas integrated energy system includes a distributed energy generation device;

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型;其中,所述第一运行参数是所述分布式储能装置的储能功率,所述第二运行参数是所述分布式能源发生装置的功率;According to the first operating parameter and the second operating parameter, an optimal scheduling model of the preset integrated energy system including hybrid energy storage is constructed; wherein, the first operating parameter is the energy storage power of the distributed energy storage device, the second operating parameter is the power of the distributed energy generation device;

构建所述分布式能源发生装置的弃能模型;constructing an energy abandonment model of the distributed energy generating device;

将收益最大作为所述优化调度模型的第一求解目标,将能源损耗最小作为所述弃能模型的第二求解目标,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式储能装置的电能转化量,以利用所述电能转化量平衡所述预设含混合储能的综合能源系统的能源差量。Taking the maximum profit as the first solution objective of the optimal scheduling model, taking the minimum energy loss as the second solution objective of the energy abandonment model, and using the fuzzy membership function according to the first solution objective and the second solution objective , and calculate the electric energy conversion amount of the distributed energy storage device, so as to use the electric energy conversion amount to balance the energy difference of the preset integrated energy system including hybrid energy storage.

可选地,所述分布式能源发生装置包括风电装置和光伏发电装置;根据可再生能源的消纳需求,将分布式储能装置加入电热气综合能源系统,得到预设含混合储能的综合能源系统,包括:Optionally, the distributed energy generation device includes a wind power device and a photovoltaic power generation device; according to the consumption demand of renewable energy, the distributed energy storage device is added to the electric heating and gas integrated energy system to obtain a preset integrated energy storage system including hybrid energy storage. energy system, including:

根据所述风电装置和所述光伏发电装置需求的电功率消纳,将气电转换装置加入电热气综合能源系统;According to the electric power consumption required by the wind power device and the photovoltaic power generation device, the gas-electric conversion device is added to the electric-heat-gas integrated energy system;

根据新能源汽车具有的能源转换特征,将所述新能源汽车加入电热气综合能源系统;According to the energy conversion characteristics of the new energy vehicle, the new energy vehicle is added to the electric heating gas integrated energy system;

根据储氢装置具有与多种能源进行转换的特性和长期储能需求,将所述储氢装置加入电热气综合能源系统;According to the characteristics of the hydrogen storage device to be converted with various energy sources and the long-term energy storage demand, the hydrogen storage device is added to the electric heating gas integrated energy system;

根据实时储能需求,将蓄电池和储热罐加入所述预设含混合储能的综合能源系统。According to the real-time energy storage demand, batteries and heat storage tanks are added to the preset integrated energy system with mixed energy storage.

可选地,所述预设含混合储能的综合能源系统分别连接外部电网和外部热网;所述方法还包括:Optionally, the preset integrated energy system including hybrid energy storage is respectively connected to an external power grid and an external heat grid; the method further includes:

根据所述外部电网和所述外部热网的能源需求差量,将电锅炉加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的热电联供需求。According to the difference in energy demand between the external power grid and the external heat grid, an electric boiler is added to the preset integrated energy system including hybrid energy storage to adjust and optimally control the combined heat and power demand in different areas.

可选地,所述预设含混合储能的综合能源系统连接外部气网;所述方法还包括:Optionally, the preset integrated energy system including hybrid energy storage is connected to an external gas grid; the method further includes:

根据所述外部电网和所述外部气网的能源需求差量,以及所述外部热网和所述外部气网的能源需求差量,将燃气锅炉、燃气轮机以及余热回收装置加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的能源联供需求。According to the energy demand difference between the external power grid and the external gas grid, and the energy demand difference between the external heat grid and the external gas grid, a gas boiler, a gas turbine and a waste heat recovery device are added to the preset containing A comprehensive energy system with hybrid energy storage to optimize and control the energy co-supply demand in different regions.

可选地,所述方法还包括:Optionally, the method further includes:

获取当前时间的电量需求;Get the power demand at the current time;

构建所述分布式储能装置的第一能量模型;其中,所述第一能量模型用于表征所述第一运行参数与所述分布式储能装置发生的电能转换量的关联关系;constructing a first energy model of the distributed energy storage device; wherein, the first energy model is used to represent the relationship between the first operating parameter and the amount of electrical energy conversion that occurs in the distributed energy storage device;

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage, including:

将所述电量需求、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。Determining the power demand, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, determining the electrical energy conversion amount as an output variable of the optimal scheduling model, and constructing the The optimal dispatch model of the integrated energy system with hybrid energy storage is preset.

可选地,所述方法还包括:Optionally, the method further includes:

获取当前时间的电量需求;Get the power demand at the current time;

根据所述电量需求和所述分布式能源发生装置产生的实时电量,构建电能平衡约束条件;constructing a power balance constraint condition according to the power demand and the real-time power generated by the distributed energy generation device;

根据所述风电装置的弃风损耗,以及所述光伏发电装置的弃光损耗,构建第二电能平衡约束条件;constructing a second power balance constraint condition according to the abandoned wind loss of the wind power device and the abandoned light loss of the photovoltaic power generation device;

利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量,包括:Using the fuzzy membership function to calculate the electric energy conversion amount of the distributed energy generation device according to the first solution target and the second solution target, including:

在所述第一电能平衡约束条件和所述第二电能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。Under the first power balance constraint condition and the second power balance constraint condition, the fuzzy membership function is used to calculate the value of the distributed energy generation device according to the first solution target and the second solution target. conversion of electrical energy.

可选地,所述方法还包括:Optionally, the method further includes:

获取当前时间的热量需求、热能供应量、气能需求以及气能供应量;Obtain the heat demand, heat energy supply, gas energy demand and gas energy supply at the current time;

根据所述热量需求和所述热能供应量,构建热能平衡约束条件;constructing thermal energy balance constraints according to the heat demand and the thermal energy supply;

根据所述气能需求和所述气能供应量,构建气能平衡约束条件;According to the gas energy demand and the gas energy supply amount, constructing a gas energy balance constraint condition;

利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量,包括:Using the fuzzy membership function to calculate the electric energy conversion amount of the distributed energy generation device according to the first solution target and the second solution target, including:

在所述热能平衡约束条件和所述气能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。Under the thermal energy balance constraint condition and the gas energy balance constraint condition, the electric energy conversion amount of the distributed energy generating device is calculated by using a fuzzy membership function according to the first solution target and the second solution target .

可选地,所述方法还包括:Optionally, the method further includes:

构建所述分布式能源发生装置的第二能量模型;其中,所述第二能量模型用于表征所述第二运行参数与所述分布式能源发生装置的出力量的关联关系;constructing a second energy model of the distributed energy generation device; wherein the second energy model is used to represent the relationship between the second operating parameter and the output of the distributed energy generation device;

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage, including:

将所述第二能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。Determining the second energy model, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, determining the electrical energy conversion amount as an output variable of the optimal scheduling model, and constructing The preset optimal dispatch model of the integrated energy system including hybrid energy storage.

可选地,所述预设含混合储能的综合能源系统包括能量转换装置;所述方法还包括:Optionally, the preset integrated energy system including hybrid energy storage includes an energy conversion device; the method further includes:

根据所述外部电网、所述外部气网以及所述外部热网中任意两者之间的能量转换需求,将能量转换装置加入电热气综合能源系统,得到具有能量转换装置的预设含混合储能的综合能源系统;According to the energy conversion requirements between any two of the external power grid, the external gas grid, and the external heat grid, the energy conversion device is added to the electric-heat-gas integrated energy system to obtain a preset energy conversion device including a hybrid storage device. integrated energy system;

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage, including:

根据第一运行参数、第二运行参数以及第三运行参数,构建所述优化调度模型;其中,所述第三运行参数是所述能量转换装置的放电效率、放热效率或者气能消耗量。The optimal scheduling model is constructed according to the first operating parameter, the second operating parameter and the third operating parameter; wherein the third operating parameter is the discharge efficiency, the heat release efficiency or the gas energy consumption of the energy conversion device.

可选地,所述方法还包括:Optionally, the method further includes:

构建所述能量转换装置的第三能量模型;其中,所述第三能量模型用于表征所述第三运行参数与所述能量转换装置的能量消耗量的关联关系;constructing a third energy model of the energy conversion device; wherein the third energy model is used to characterize the relationship between the third operating parameter and the energy consumption of the energy conversion device;

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage, including:

将所述第三能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。Determining the third energy model, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, determining the electrical energy conversion amount as an output variable of the optimal scheduling model, and constructing The preset optimal dispatch model of the integrated energy system including hybrid energy storage.

本申请实施例从储能装置的实际运行情况出发,构建包含分布式储能装置、分布式能源发生装置以及能量转换装置的预设含混合储能的综合能源系统,该预设含混合储能的综合能源系统可以是虚拟发电厂,以在通过通信技术和软件架构协调各个能源系统的能量的过程中,利用分布式储能装置补充用电峰值时电力的不足,还利用分布式储能装置在用电谷底时存储电能,或者将电能转换为气能、热能或者化学能,以补充其他能量的瞬时消耗;本申请实施例将预设含混合储能的综合能源系统分别连接外部电网、外部气网以及外部热网,构建了以最大收益为目标的优化调度模型,同时构建了以最小弃能损耗为目标的弃能模型,将实时发电量、实时用户对各种能源的需求量、以及维持分布式储能装置、分布式能源发生装置、能量转换装置的损耗输入优化调度模型和弃能模型,求解得到能够兼顾最大收益目标和最小弃能损耗目标的电能转化量,电能转化量是分布式储能装置的充电量或放电量,进而以分布式储能装置的充电量或放电量协调各区域之间的能量需求,或分布式储能装置的充电量或放电量补充分布式能源发生装置因随机波动性和间歇性造成的能量缺口。Based on the actual operation of the energy storage device, the embodiment of the present application constructs a preset integrated energy system including a distributed energy storage device, a distributed energy generation device, and an energy conversion device with hybrid energy storage. The preset includes hybrid energy storage. The integrated energy system can be a virtual power plant, in the process of coordinating the energy of each energy system through communication technology and software architecture, using distributed energy storage devices to supplement the shortage of electricity during peak power consumption, and also using distributed energy storage devices Store electrical energy at the bottom of electricity consumption, or convert electrical energy into gas energy, thermal energy or chemical energy to supplement the instantaneous consumption of other energy; in the embodiment of the present application, the preset integrated energy system including hybrid energy storage is connected to the external grid, external For the gas network and external heat network, an optimal dispatch model with the goal of maximizing revenue is constructed, and an energy abandonment model with the goal of minimizing energy abandonment loss is also constructed. Maintain the loss input optimization scheduling model and energy abandonment model of the distributed energy storage device, distributed energy generation device, and energy conversion device, and solve the power conversion amount that can take into account the maximum revenue target and the minimum energy abandonment loss target. The power conversion amount is distributed The charging or discharging capacity of the distributed energy storage device can be used to coordinate the energy demand between regions with the charging or discharging capacity of the distributed energy storage device, or the charging or discharging capacity of the distributed energy storage device can supplement the generation of distributed energy. A device's energy gap due to random fluctuations and intermittence.

附图说明Description of drawings

为了更清楚地说明本申请实施例的技术方案,下面将对本申请实施例的描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following briefly introduces the drawings that are used in the description of the embodiments of the present application. Obviously, the drawings in the following description are only some embodiments of the present application. , for those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative labor.

图1是本申请实施例提出的含混合储能的综合能源系统运行控制方法的步骤流程图;FIG. 1 is a flow chart of the steps of a method for controlling the operation of an integrated energy system with hybrid energy storage proposed by an embodiment of the present application;

图2是本申请实施例中预设含混合储能的综合能源系统的结构示意图;2 is a schematic structural diagram of an integrated energy system preset with hybrid energy storage in an embodiment of the present application;

图3是本申请实施例提出的含混合储能的综合能源系统运行控制装置的功能模块图。FIG. 3 is a functional block diagram of an operation control device for an integrated energy system with hybrid energy storage proposed in an embodiment of the present application.

具体实施方式Detailed ways

下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本申请的一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

本申请实施例从储能装置的实际运行情况出发,构建包含分布式储能装置、分布式能源发生装置以及能量转换装置的预设含混合储能的综合能源系统,该预设含混合储能的综合能源系统可以是虚拟发电厂,以在通过通信技术和软件架构协调各个能源系统的能量的过程中,利用分布式储能装置补充用电峰值时电力的不足,还利用分布式储能装置在用电谷底时存储电能,或者将电能转换为气能、热能或者化学能,以补充其他能量的瞬时消耗;本申请实施例将预设含混合储能的综合能源系统分别连接外部电网、外部气网以及外部热网,构建了以最大收益为目标的优化调度模型,同时构建了以最小弃能损耗为目标的弃能模型,将实时发电量、实时用户对各种能源的需求量、以及维持分布式储能装置、分布式能源发生装置、能量转换装置的损耗输入优化调度模型和弃能模型,求解得到能够兼顾最大收益目标和最小弃能损耗目标的电能转化量,电能转化量是分布式储能装置的充电量或放电量,进而以分布式储能装置的充电量或放电量协调各区域之间的能量需求,或分布式储能装置的充电量或放电量补充分布式能源发生装置因随机波动性和间歇性造成的能量缺口。Based on the actual operation of the energy storage device, the embodiment of the present application constructs a preset integrated energy system including a distributed energy storage device, a distributed energy generation device, and an energy conversion device with hybrid energy storage. The preset includes hybrid energy storage. The integrated energy system can be a virtual power plant, in the process of coordinating the energy of each energy system through communication technology and software architecture, using distributed energy storage devices to supplement the shortage of electricity during peak power consumption, and also using distributed energy storage devices Store electrical energy at the bottom of electricity consumption, or convert electrical energy into gas energy, thermal energy or chemical energy to supplement the instantaneous consumption of other energy; in the embodiment of the present application, the preset integrated energy system including hybrid energy storage is connected to the external grid, external For the gas network and external heat network, an optimal dispatch model with the goal of maximizing revenue is constructed, and an energy abandonment model with the goal of minimizing energy abandonment loss is also constructed. Maintain the loss input optimization scheduling model and energy abandonment model of the distributed energy storage device, distributed energy generation device, and energy conversion device, and solve the power conversion amount that can take into account the maximum revenue target and the minimum energy abandonment loss target. The power conversion amount is distributed The charging or discharging capacity of the distributed energy storage device can be used to coordinate the energy demand between regions with the charging or discharging capacity of the distributed energy storage device, or the charging or discharging capacity of the distributed energy storage device can supplement the generation of distributed energy. A device's energy gap due to random fluctuations and intermittence.

图1是本申请实施例提出的含混合储能的综合能源系统运行控制方法的步骤流程图,如图1所示,所述方法包括:FIG. 1 is a flowchart of steps of a method for controlling the operation of an integrated energy system with hybrid energy storage proposed by an embodiment of the present application. As shown in FIG. 1 , the method includes:

步骤S11:根据可再生能源的消纳需求,将分布式储能装置加入电热气综合能源系统,得到预设含混合储能的综合能源系统;其中,所述电热气综合能源系统包括分布式能源发生装置。Step S11: According to the consumption demand of renewable energy, the distributed energy storage device is added to the electric-heat-gas integrated energy system to obtain a preset integrated energy system including mixed energy storage; wherein, the electric-heat-gas integrated energy system includes distributed energy generating device.

本申请实施例将分布式储能装置加入电热气综合能源系统,克服了单一储能难以同时满足功率和能量两方面的缺点,由于分布式储能装置包含了多种储能设备,使得预设含混合储能的综合能源系统包含混合储能,以混合储能从不同时间尺度充分互补,实现系统经济性、高效性、以及平稳性的统一。In the embodiment of the present application, the distributed energy storage device is added to the electric heating and gas integrated energy system, which overcomes the disadvantage that a single energy storage device cannot satisfy both power and energy at the same time. Since the distributed energy storage device includes a variety of energy storage devices, the preset The integrated energy system with hybrid energy storage includes hybrid energy storage, which can fully complement each other from different time scales to achieve the unity of system economy, high efficiency, and stability.

图2是本申请实施例中预设含混合储能的综合能源系统的结构示意图,如图2所示,分布式能源发生装置包括风电装置和光伏发电装置;步骤S11的子步骤包括:FIG. 2 is a schematic structural diagram of a preset integrated energy system including hybrid energy storage in an embodiment of the present application. As shown in FIG. 2 , the distributed energy generating device includes a wind power device and a photovoltaic power generation device; the sub-steps of step S11 include:

步骤S11-1:根据所述风电装置和所述光伏发电装置需求的电功率消纳,将气电转换装置加入电热气综合能源系统。Step S11-1: According to the electrical power consumption required by the wind power device and the photovoltaic power generation device, add the gas-electric conversion device to the electric-heat-gas integrated energy system.

由于风能和光能受自然因素的影响,因此风电装置和光伏发电装置的功率随机性较大,难以保持功率平衡和电能质量,鉴于此,本申请实施例将气电转换装置(P2G,Powerto Gas)添加到电热气综合能源系统中,将电转换装置分别连接外部电网和外部气网,在风电装置和光伏发电装置的发电量大于实时用电量时,采用气电转换装置将盈余的电能转换为气能。Because wind energy and solar energy are affected by natural factors, the power of wind power devices and photovoltaic power generation devices is relatively random, and it is difficult to maintain power balance and power quality. It is added to the integrated electric heating and gas energy system, and the electric conversion device is connected to the external power grid and the external gas grid respectively. When the power generation of the wind power device and the photovoltaic power generation device is greater than the real-time power consumption, the gas-electric conversion device is used to convert the surplus electric energy into Qi energy.

步骤S11-2:根据新能源汽车具有的能源转换特征和可再生能源的消纳需求,将所述新能源汽车加入电热气综合能源系统。Step S11-2: According to the energy conversion characteristics of the new energy vehicle and the consumption demand of renewable energy, the new energy vehicle is added to the electric heating gas integrated energy system.

新能源汽车(EVS)具有的能源转换特征是指,新能源汽车的位置可以变动,随着新能源汽车的广泛应用,位于特定位置的多个新能源汽车可以组成供电网络,或者组成存储盈余电量的网络,具有规模化汇聚效应;组成局部网络的多个新能源汽车可以平衡其所在特定位置的能源差值。The energy conversion feature of new energy vehicles (EVS) means that the location of new energy vehicles can be changed. With the wide application of new energy vehicles, multiple new energy vehicles located in specific locations can form a power supply network or form a storage surplus power. The network has a large-scale convergence effect; multiple new energy vehicles that form a local network can balance the energy difference at a specific location.

新能源汽车连接外部电网。The new energy vehicle is connected to the external power grid.

步骤S11-3:根据储氢装置具有与多种能源进行转换的特性和长期储能需求,将所述储氢装置加入电热气综合能源系统。Step S11-3: According to the characteristics of the hydrogen storage device to be converted with various energy sources and the long-term energy storage requirements, the hydrogen storage device is added to the electric-heat-gas integrated energy system.

储氢装置具有与多种能源进行转换的特性是指:储氢装置连接电解池,电解池连接外部电网;储氢装置同时连接燃料电池,燃料电池连接外部电网。电解池可以将电能转化为氢,存储在储氢装置,燃料电池可以将氢转化为电能,输入到外部电网。氢可以在储氢装置中长期稳定存在,储氢装置是一种长期储能设备。The hydrogen storage device has the characteristics of converting with multiple energy sources: the hydrogen storage device is connected to the electrolytic cell, and the electrolytic cell is connected to the external power grid; the hydrogen storage device is simultaneously connected to the fuel cell, and the fuel cell is connected to the external power grid. Electrolyzers can convert electrical energy into hydrogen for storage in hydrogen storage devices, and fuel cells can convert hydrogen into electrical energy for input to an external grid. Hydrogen can exist stably for a long time in a hydrogen storage device, which is a long-term energy storage device.

步骤S11-4:根据实时储能需求,将蓄电池和储热罐加入所述预设含混合储能的综合能源系统。Step S11-4: According to the real-time energy storage demand, add batteries and heat storage tanks to the preset integrated energy system including hybrid energy storage.

蓄电池是短期储能设备,锂蓄电池充放电效率高、功率大,主要用于维持实时供需平衡。储热装置连接外部热网,在系统运行过程中起到很好的削峰填谷作用。储热装置可以是储热罐。Batteries are short-term energy storage devices. Lithium batteries have high charging and discharging efficiency and high power, and are mainly used to maintain real-time supply and demand balance. The heat storage device is connected to the external heat network, which plays a very good role in cutting peaks and filling valleys during the operation of the system. The thermal storage device may be a thermal storage tank.

本申请实施例采用外部电网连接氢储装置能和P2G等多种能源方式,实现电能的分布式转换与存储,再以改善调控手段等方式促进可再生能源的利用;可再生能源发电配合储氢装置,成为可调度、可预测、可控制的电源;同时利用新能源汽车实现终端用户供用电关系转换、用能设备的能量缓冲、灵活互动以及智能交互。The embodiments of the present application use external power grids to connect hydrogen storage devices and P2G and other energy sources to realize distributed conversion and storage of electric energy, and then promote the utilization of renewable energy by improving control methods and other means; renewable energy power generation cooperates with hydrogen storage The device becomes a dispatchable, predictable, and controllable power source; at the same time, new energy vehicles are used to realize the conversion of end-user power supply and consumption relationship, energy buffering of energy-consuming equipment, flexible interaction and intelligent interaction.

在本申请另一种实施例,还可以将能量转换装置添加到电热气综合能源系统,以实现各种能源(电能、气能以及热能)的相互转换。根据所述外部电网、所述外部气网以及所述外部热网中任意两者之间的能量转换需求,将能量转换装置加入电热气综合能源系统,得到具有能量转换装置的预设含混合储能的综合能源系统。In another embodiment of the present application, an energy conversion device can also be added to an integrated electric-heat-gas energy system to realize mutual conversion of various energy sources (electrical energy, gas energy, and thermal energy). According to the energy conversion requirements between any two of the external power grid, the external gas grid, and the external heat grid, the energy conversion device is added to the electric-heat-gas integrated energy system to obtain a preset energy conversion device including a hybrid storage device. integrated energy system.

能量转换装置包括本申请其他实施例提出的电解池和燃料电池,还包括燃气锅炉、燃气轮机、余热回收装置、电锅炉。将上述能量转换装置添加到热气综合能源系统的具体过程包括:The energy conversion device includes the electrolytic cell and the fuel cell proposed in other embodiments of the present application, and also includes a gas boiler, a gas turbine, a waste heat recovery device, and an electric boiler. The specific process of adding the above energy conversion device to the hot gas integrated energy system includes:

根据所述外部电网和所述外部热网的能源需求差量,将电锅炉加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的热电联供需求。According to the difference in energy demand between the external power grid and the external heat grid, an electric boiler is added to the preset integrated energy system including hybrid energy storage to adjust and optimally control the combined heat and power demand in different areas.

根据所述外部电网和所述外部气网的能源需求差量,以及所述外部热网和所述外部气网的能源需求差量,将燃气锅炉、燃气轮机以及余热回收装置加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的能源联供需求。According to the energy demand difference between the external power grid and the external gas grid, and the energy demand difference between the external heat grid and the external gas grid, a gas boiler, a gas turbine and a waste heat recovery device are added to the preset containing A comprehensive energy system with hybrid energy storage to optimize and control the energy co-supply demand in different regions.

本申请实施例利用燃气锅炉、燃气轮机、余热回收装置、电锅炉,实现了外部电网与外部热网的能量转换、外部电网与外部气网的能量转换,以及外部热网和外部气网的能量转换,为混合储能从不同时间尺度充分互补提供基础。The embodiments of the present application utilize gas boilers, gas turbines, waste heat recovery devices, and electric boilers to realize energy conversion between an external power grid and an external heat network, energy conversion between an external power grid and an external gas network, and energy conversion between an external heat network and an external gas network. , to provide the basis for the full complementation of hybrid energy storage from different time scales.

步骤S12:根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型;其中,所述第一运行参数是所述分布式储能装置的储能功率,所述第二运行参数是所述分布式能源发生装置的功率。Step S12: According to the first operating parameter and the second operating parameter, construct the optimal scheduling model of the preset integrated energy system including hybrid energy storage; wherein, the first operating parameter is the storage capacity of the distributed energy storage device. energy power, and the second operating parameter is the power of the distributed energy generation device.

本申请另一种实施例根据第一运行参数和第二运行参数,构建预设含混合储能的综合能源系统的优化调度模型之前,还会获取能量转换装置的放电效率、放热效率或者气能消耗量,将其作为第三运行参数,最终根据第一运行参数、第二运行参数以及第三运行参数,构建所述优化调度模型。所述第三运行参数是所述能量转换装置的放电效率、放热效率或者气能消耗量。Another embodiment of the present application also obtains the discharge efficiency, heat release efficiency or gas energy of the energy conversion device before constructing the optimal scheduling model of the integrated energy system including the hybrid energy storage according to the first operating parameter and the second operating parameter. The consumption is taken as the third operating parameter, and finally the optimal scheduling model is constructed according to the first operating parameter, the second operating parameter and the third operating parameter. The third operating parameter is discharge efficiency, heat release efficiency or gas energy consumption of the energy conversion device.

本申请一种具体实施方式中,第一运行参数包括:新能源汽车的充电功率、新能源汽车的放电功率、气电转换装置消纳风力发电的功率、气电转换装置消纳光伏发电的功率、储氢装置的充电效率、储氢装置的放电效率、蓄电池的充电效率、蓄电池的放电效率、储热装置的放热效率、储热装置的储热效率。In a specific embodiment of the present application, the first operating parameters include: the charging power of the new energy vehicle, the discharging power of the new energy vehicle, the power consumed by the gas-electric conversion device for wind power generation, and the power consumed by the gas-electric conversion device for photovoltaic power generation , The charging efficiency of the hydrogen storage device, the discharge efficiency of the hydrogen storage device, the charging efficiency of the battery, the discharge efficiency of the battery, the heat release efficiency of the heat storage device, and the heat storage efficiency of the heat storage device.

第二运行参数包括:风力放电功率、光伏发电功率、可中断负荷功率。The second operating parameters include: wind discharge power, photovoltaic power generation power, and interruptible load power.

第三运行参数包括:燃气轮机消耗天然气的量。The third operating parameter includes: the amount of natural gas consumed by the gas turbine.

除上述第一运行参数包括、第二运行参数包括和第三运行参数外,构建优化调度模型还需要采集外部电网中的电能消耗量,外部电网中的电能消耗量也可以是电力市场的交易量,以根据用户实时需求电量、分布式能源发生装置产生电能的功率、分布式能源发生装置产生的实时电能,计算特定区域的电力网络实时需求的电量,再根据分布式储能装置包含的各种混合储能设备的储能功率,计算出能够同时兼顾收益最大和弃能最小的目标的目标参数,目标参数分别对应各种混合储能设备的实时储能值,从而实现优化多种能源的开放互联,以电为中心的不同能源网络柔性互联、调剂和联合调控的目的。In addition to the above-mentioned first operating parameters, second operating parameters and third operating parameters, the construction of the optimal dispatch model also needs to collect the electric energy consumption in the external power grid, and the electric energy consumption in the external power grid can also be the transaction volume of the power market , to calculate the real-time demanded power of the power network in a specific area according to the real-time demand of the user, the power of the power generated by the distributed energy generating device, and the real-time power generated by the distributed energy generating device. The energy storage power of the hybrid energy storage device is calculated, and the target parameters that can take into account the goals of maximum revenue and minimum energy waste are calculated. The target parameters correspond to the real-time energy storage value of various hybrid energy storage devices, so as to realize the optimization of multiple energy sources. Interconnection, the purpose of flexible interconnection, adjustment and joint regulation of different energy networks centered on electricity.

本申请另一种实施例具体说明构建的优化调度模型的工作原理。在构建优化调度模型之前,本申请实施例分别构建分布式储能装置中各个储能设备的参数模型,得到分布式储能装置的第一能量模型。Another embodiment of the present application specifically describes the working principle of the constructed optimal scheduling model. Before constructing the optimal scheduling model, the embodiment of the present application constructs the parameter models of each energy storage device in the distributed energy storage device respectively, and obtains the first energy model of the distributed energy storage device.

构建第一能量模型之前,获取当前时间的电量需求;当前时间的电量需求是指预设含混合储能的综合能源系统在特定时间用户消耗的电量。当前时间的电量需求可以是本申请其他实施例采集的外部电网中的电能消耗量。Before constructing the first energy model, the electricity demand at the current time is obtained; the electricity demand at the current time refers to the electricity consumed by the user at a specific time in a preset integrated energy system including hybrid energy storage. The electricity demand at the current time may be the electricity consumption in the external power grid collected by other embodiments of the present application.

构建分布式储能装置的第一能量模型;其中,所述第一能量模型用于表征所述第一运行参数与所述分布式储能装置发生的电能转换量的关联关系;constructing a first energy model of the distributed energy storage device; wherein, the first energy model is used to represent the correlation between the first operating parameter and the amount of electric energy conversion that occurs in the distributed energy storage device;

本申请一种示例构建分布式储能装置的第一能量模型的过程如下:An example process of constructing a first energy model of a distributed energy storage device in the present application is as follows:

1、构建新能源汽车充放电及储能参数模型。为了建模的可行性,假设每个区域的可调度新能源汽车通过一个集中控制器与电网连接,这个集中控制器就等值为一辆新能源汽车来完成优化调度,其模型如(1)和(2)式所示:1. Build a new energy vehicle charging, discharging and energy storage parameter model. For the feasibility of modeling, it is assumed that dispatchable new energy vehicles in each area are connected to the power grid through a centralized controller, and this centralized controller is equivalent to a new energy vehicle to complete the optimal dispatch. The model is as follows (1) and (2) are shown as:

Figure BDA0003127611860000101
Figure BDA0003127611860000101

Figure BDA0003127611860000102
Figure BDA0003127611860000102

其中,

Figure BDA0003127611860000103
表示t时段新能源汽车的充电功率,
Figure BDA0003127611860000104
表示t时段新能源汽车的放电功率;
Figure BDA0003127611860000105
Figure BDA0003127611860000106
的取值位于0~1范围中,新能源汽车在充电的情况下,
Figure BDA0003127611860000107
等于1,
Figure BDA0003127611860000108
等于0;新能源汽车在放电的情况下,
Figure BDA0003127611860000109
等于0,
Figure BDA00031276118600001010
等于1;
Figure BDA00031276118600001011
表示t+1时段新能源汽车的电池电量,
Figure BDA00031276118600001012
表示新能源汽车的充电效率,
Figure BDA00031276118600001013
表示新能源汽车的放电效率。in,
Figure BDA0003127611860000103
represents the charging power of the new energy vehicle in period t,
Figure BDA0003127611860000104
Represents the discharge power of the new energy vehicle in period t;
Figure BDA0003127611860000105
and
Figure BDA0003127611860000106
The value of is in the range of 0 to 1. When the new energy vehicle is charging,
Figure BDA0003127611860000107
is equal to 1,
Figure BDA0003127611860000108
is equal to 0; when the new energy vehicle is discharged,
Figure BDA0003127611860000109
equal to 0,
Figure BDA00031276118600001010
is equal to 1;
Figure BDA00031276118600001011
Represents the battery power of the new energy vehicle in the t+1 period,
Figure BDA00031276118600001012
Represents the charging efficiency of new energy vehicles,
Figure BDA00031276118600001013
Indicates the discharge efficiency of new energy vehicles.

2、构建气电转换装置(P2G)参数模型,如式(3)所示:2. Construct the parameter model of the gas-to-electricity conversion device (P2G), as shown in formula (3):

Figure BDA00031276118600001014
Figure BDA00031276118600001014

其中,

Figure BDA00031276118600001015
表示t时段的产气功率,ηP2G表示产气效率,
Figure BDA00031276118600001016
表示耗电功率。气电转换装置所消耗的电能的来源包括:光伏发电产生的电能和风力发电产生的电能。in,
Figure BDA00031276118600001015
represents the gas production power in the period t, ηP2G represents the gas production efficiency,
Figure BDA00031276118600001016
Indicates power consumption. The sources of electric energy consumed by the gas-electric conversion device include: electric energy generated by photovoltaic power generation and electric energy generated by wind power generation.

3、构建储氢装置的参数模型。作为长期储能设备,作为长期储能设备,储氢系统充放电效率较低、峰值功率较小,但能够通过电解将能量长期存储,主要用于平衡季节间的能量不平衡。储氢装置的模型如式(4)所示:3. Construct the parametric model of the hydrogen storage device. As a long-term energy storage device, the hydrogen storage system has low charge and discharge efficiency and low peak power, but it can store energy for a long time through electrolysis, which is mainly used to balance the energy imbalance between seasons. The model of the hydrogen storage device is shown in formula (4):

Figure BDA00031276118600001017
Figure BDA00031276118600001017

其中,EHST,t+1表示储氢装置在t+1时段的容量,

Figure BDA00031276118600001018
表示电解池的实时电解功率,
Figure BDA00031276118600001019
表示燃料电池的实时释放功率;
Figure BDA00031276118600001020
表示电解池的电解效率,
Figure BDA00031276118600001021
表示燃料电池的释放效率。Among them, EHST,t+1 represents the capacity of the hydrogen storage device in the period t+1,
Figure BDA00031276118600001018
Represents the real-time electrolysis power of the electrolytic cell,
Figure BDA00031276118600001019
Represents the real-time released power of the fuel cell;
Figure BDA00031276118600001020
represents the electrolysis efficiency of the electrolytic cell,
Figure BDA00031276118600001021
Represents the release efficiency of the fuel cell.

4、构建蓄电池的参数模型。作为短期储能设备,锂蓄电池充放电效率高、功率大,主要用于维持实时供需平衡。蓄电池的模型如式(5)所示:4. Build the parameter model of the battery. As a short-term energy storage device, lithium batteries have high charge and discharge efficiency and high power, and are mainly used to maintain real-time supply and demand balance. The model of the battery is shown in formula (5):

Figure BDA0003127611860000111
Figure BDA0003127611860000111

其中,EBES,t+1为蓄电池的实时容量,

Figure BDA0003127611860000112
为蓄电池的充电功率,
Figure BDA0003127611860000113
为蓄电池的放电功率,
Figure BDA0003127611860000114
为蓄电池的充电效率,
Figure BDA0003127611860000115
为蓄电池的放电效率。Among them, EBES,t+1 is the real-time capacity of the battery,
Figure BDA0003127611860000112
the charging power of the battery,
Figure BDA0003127611860000113
is the discharge power of the battery,
Figure BDA0003127611860000114
for the charging efficiency of the battery,
Figure BDA0003127611860000115
is the discharge efficiency of the battery.

5、构建储热装置的参数模型;储热装置在系统运行过程中起到很好的削峰填谷作用。假设在一个运行周期内储能系统前后荷电状态保持不变,同时储能系统荷电状态在充放过程中满足(6)式所示约束:5. Build the parameter model of the heat storage device; the heat storage device plays a very good role in cutting peaks and filling valleys during the operation of the system. It is assumed that the state of charge before and after the energy storage system remains unchanged during an operating cycle, and the state of charge of the energy storage system satisfies the constraints shown in equation (6) during the charging and discharging process:

Figure BDA0003127611860000116
Figure BDA0003127611860000116

其中,ETST,t+1表示储热装置的实时容量,

Figure BDA0003127611860000117
表示储热功率,
Figure BDA0003127611860000118
表示放热功率,
Figure BDA0003127611860000119
表示储热效率,
Figure BDA00031276118600001110
表示放热效率。Among them, ETST,t+1 represents the real-time capacity of the heat storage device,
Figure BDA0003127611860000117
represents the heat storage power,
Figure BDA0003127611860000118
represents the exothermic power,
Figure BDA0003127611860000119
represents the heat storage efficiency,
Figure BDA00031276118600001110
Indicates the exothermic efficiency.

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:将所述电量需求、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage includes: combining the electricity demand, the first operating parameter and the second operating parameter It is determined as an input variable of the optimal dispatch model, the electric energy conversion amount is determined as an output variable of the optimal dispatch model, and an optimal dispatch model of the preset integrated energy system including hybrid energy storage is constructed.

在构建优化调度模型之前,本申请实施例分别构建分布式能源发生装置中各个发电设备的参数模型,得到分布式能源发生装置的第二能量模型。Before constructing the optimal scheduling model, the embodiment of the present application constructs the parameter models of each power generation device in the distributed energy generation device respectively, and obtains the second energy model of the distributed energy generation device.

构建所述分布式能源发生装置的第二能量模型;其中,所述第二能量模型用于表征所述第二运行参数与所述分布式能源发生装置的出力量的关联关系。A second energy model of the distributed energy generation device is constructed; wherein, the second energy model is used to represent the relationship between the second operating parameter and the output of the distributed energy generation device.

本申请一种示例构建分布式能源发生装置的第二能量模型的过程如下:An example of the process of constructing a second energy model of a distributed energy generation device in the present application is as follows:

1、构建风电机组出力参数模型。风电机组出力与风速直接相关。目前针对风电机组出力模型一般采用Weibull分布对风速进行建模,基于Weibull分布的风速概率密度函数如(7)式所示:1. Build the output parameter model of the wind turbine. The output of the wind turbine is directly related to the wind speed. At present, Weibull distribution is generally used to model wind speed for the output model of wind turbines. The probability density function of wind speed based on Weibull distribution is shown in equation (7):

Figure BDA00031276118600001111
Figure BDA00031276118600001111

其中,v表示风速,fw(v)为风速概率密度函数;α是风速的形状参数,β是风速的尺寸参数,风速的形状参数和风速的尺寸参数由风速的历史数据进行统计分析可得,计算风速的形状参数的方法如(8)式所示:Among them, v represents wind speed, fw (v) is the probability density function of wind speed; α is the shape parameter of wind speed, β is the size parameter of wind speed, the shape parameter and size parameter of wind speed can be obtained by statistical analysis of historical data of wind speed , the method of calculating the shape parameters of wind speed is shown in formula (8):

Figure BDA0003127611860000121
Figure BDA0003127611860000121

计算风速的尺寸参数的方法如(9)式所示:The method for calculating the size parameter of wind speed is shown in formula (9):

Figure BDA0003127611860000122
Figure BDA0003127611860000122

其中,μ表示风速历史数据的期望值,σ表示风速历史数据的方差,Γ为Gamma函数。基于上述风速模型,建立风电机组的出力模型如(10)式所示:Among them, μ represents the expected value of the wind speed historical data, σ represents the variance of the wind speed historical data, and Γ is the Gamma function. Based on the above wind speed model, the output model of the wind turbine is established as shown in equation (10):

Figure BDA0003127611860000123
Figure BDA0003127611860000123

其中,PW为风电机组出力,也可以看作是风电机组功率;ν为风速,νi为切入风速,νr为额定风速,νo为切出风速,PWo为风电机组额定功率。Among them, PW is the output of the wind turbine, which can also be regarded as the power of the wind turbine; ν is the wind speed, νi is the cut-in wind speed, νr is the rated wind speed, νo is the cut-out wind speed, and PWo is the rated power of the wind turbine.

2、构建光伏出力参数模型。光伏系统的功率曲线遵循Beta分布,即光伏系统的功率曲线遵循(11)式的条件:2. Build a PV output parameter model. The power curve of the photovoltaic system follows the Beta distribution, that is, the power curve of the photovoltaic system follows the conditions of equation (11):

Figure BDA0003127611860000124
Figure BDA0003127611860000124

其中,k和c为Beta分布的形状参数,θ为辐射强度,并引入辐照度的均值和标准差进行计算。Among them, k and c are the shape parameters of the Beta distribution, θ is the radiation intensity, and the mean and standard deviation of the irradiance are introduced for calculation.

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:将所述第二能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage includes: combining the second energy model, the first operating parameter and the second The operating parameters are determined as the input variables of the optimal dispatching model, the electric energy conversion amount is determined as the output variables of the optimal dispatching model, and the optimal dispatching model of the preset integrated energy system including hybrid energy storage is constructed.

在构建优化调度模型之前,本申请实施例分别构建能量转换装置中各个设备的参数模型,得到能量转换装置的第三能量模型。Before constructing the optimal scheduling model, the embodiment of the present application constructs a parameter model of each device in the energy conversion device, respectively, to obtain a third energy model of the energy conversion device.

构建所述能量转换装置的第三能量模型;其中,所述第三能量模型用于表征所述第三运行参数与所述能量转换装置的能量消耗量的关联关系。A third energy model of the energy conversion device is constructed; wherein, the third energy model is used to represent the relationship between the third operating parameter and the energy consumption of the energy conversion device.

本申请一种示例构建分布式能量转换装置的第三能量模型的过程如下:An example process of constructing a third energy model of a distributed energy conversion device in the present application is as follows:

1、构建燃气锅炉的参数模型。燃气锅炉是一种常见的气-热协同设备,其参数模型如(12)式所示:1. Build the parameter model of the gas boiler. Gas boiler is a common gas-heat synergistic equipment, and its parameter model is shown in equation (12):

Figure BDA0003127611860000131
Figure BDA0003127611860000131

其中,

Figure BDA0003127611860000132
为燃气锅炉在t时段的产热功率,
Figure BDA0003127611860000133
为产热效率,
Figure BDA0003127611860000134
为燃气锅炉在t时段的耗气功率。in,
Figure BDA0003127611860000132
is the heat production power of the gas boiler at time t,
Figure BDA0003127611860000133
is the heat production efficiency,
Figure BDA0003127611860000134
is the gas consumption power of the gas boiler in period t.

2、构建燃气轮机的参数模型,燃气轮机的参数模型如(13)式所示:2. Build the parameter model of the gas turbine. The parameter model of the gas turbine is shown in equation (13):

Figure BDA0003127611860000135
Figure BDA0003127611860000135

其中,

Figure BDA0003127611860000136
为t时段燃气轮机电功率,
Figure BDA0003127611860000137
为t时段燃气轮机的余热功率;
Figure BDA0003127611860000138
为t时段燃气轮机天然气耗量,ηMT为燃气轮机效率,ηloss为燃气轮机散热损耗率。in,
Figure BDA0003127611860000136
is the gas turbine electrical power in period t,
Figure BDA0003127611860000137
is the waste heat power of the gas turbine in period t;
Figure BDA0003127611860000138
is the natural gas consumption of the gas turbine in period t, ηMT is the efficiency of the gas turbine, and ηloss is the heat dissipation loss rate of the gas turbine.

3、构建余热回收装置参数模型。余热回收装置参数模型如(14)式所示:3. Build the parameter model of the waste heat recovery device. The parameter model of the waste heat recovery device is shown in formula (14):

Figure BDA0003127611860000139
Figure BDA0003127611860000139

其中,

Figure BDA00031276118600001310
为t时段余热回收装置供热功率,ηhrs为余热回收装置效率。in,
Figure BDA00031276118600001310
is the heating power of the waste heat recovery device in period t, and ηhrs is the efficiency of the waste heat recovery device.

4、构建电锅炉的参数模型。电锅炉是较常见的电-热转换装置,其参数模型如(15)式所示:4. Build the parameter model of the electric boiler. Electric boiler is a common electric-heat conversion device, and its parameter model is shown in formula (15):

Figure BDA00031276118600001311
Figure BDA00031276118600001311

其中,

Figure BDA00031276118600001312
为电锅炉在t时段的供热量,ηEB为电锅炉的的电-热转换效率,
Figure BDA00031276118600001313
为电锅炉在t时段的耗电量。in,
Figure BDA00031276118600001312
is the heat supply of the electric boiler in period t, ηEB is the electricity-heat conversion efficiency of the electric boiler,
Figure BDA00031276118600001313
is the power consumption of the electric boiler in the t period.

5、构建电解池和燃料电池的参数模型。电解池的参数模型如(16)式所示,燃料电池的参数模型如(17)式所示:5. Build parametric models of electrolyzers and fuel cells. The parameter model of the electrolytic cell is shown in equation (16), and the parameter model of the fuel cell is shown in equation (17):

Figure BDA00031276118600001314
Figure BDA00031276118600001314

Figure BDA00031276118600001315
Figure BDA00031276118600001315

其中,

Figure BDA00031276118600001316
为电解池的消耗的电功率,
Figure BDA00031276118600001317
为电解池生成的氢气的量;vEC为电解池的转换效率,
Figure BDA00031276118600001318
为电能折算为相同能量氢气的单位换算系数;
Figure BDA00031276118600001319
为燃料电池消耗的氢气的量,
Figure BDA00031276118600001320
为燃料电池输出的电功率,vFC为燃料电池的转换效率。in,
Figure BDA00031276118600001316
is the electrical power consumed by the electrolytic cell,
Figure BDA00031276118600001317
is the amount of hydrogen generated by the electrolytic cell; vEC is the conversion efficiency of the electrolytic cell,
Figure BDA00031276118600001318
is the unit conversion factor for converting electrical energy into hydrogen with the same energy;
Figure BDA00031276118600001319
is the amount of hydrogen consumed by the fuel cell,
Figure BDA00031276118600001320
is the electrical power output by the fuel cell, andvFC is the conversion efficiency of the fuel cell.

根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型,包括:将所述第三能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。According to the first operating parameter and the second operating parameter, constructing the optimal scheduling model of the preset integrated energy system including hybrid energy storage includes: combining the third energy model, the first operating parameter and the second The operating parameters are determined as the input variables of the optimal dispatching model, the electric energy conversion amount is determined as the output variables of the optimal dispatching model, and the optimal dispatching model of the preset integrated energy system including hybrid energy storage is constructed.

将分布式储能装置中的新能源汽车参数模型、气电转换装置参数模型、储氢装置参数模型、蓄电池参数模型、储热装置参数模型以及储热装置参数模型输入优化调度模型;同时将分布式能源发生装置中的风电机组出力参数模型和光伏出力参数模型输入优化调度模型;再将能量转换装置中的燃气锅炉参数模型、燃气轮机参数模型、余热回收装置参数模型、电锅炉参数模型输入优化调度模型,能够在已知决策变量:新能源汽车的充电功率、新能源汽车的放电功率、气电转换装置消纳风力发电的功率、气电转换装置消纳光伏发电的功率、储氢装置的充电效率、储氢装置的放电效率、蓄电池的充电效率、蓄电池的放电效率、储热装置的放热效率、储热装置的储热效率、风力放电功率、光伏发电功率、可中断负荷功率以及燃气轮机消耗天然气的量的情况下,求解得到新能源汽车、气电转换装置、储氢装置、蓄电池、储热装置以及储热装置等储能装置储能量,以该储能量进行能量转换,包括将盈余的电能转换为热能或气能,将盈余的气能转换为电能或热能,将盈余的热能转换为电能或气能,达到对分布式能源的随机波动性、间歇性的补充。Input the new energy vehicle parameter model, gas-electric conversion device parameter model, hydrogen storage device parameter model, battery parameter model, heat storage device parameter model and heat storage device parameter model in the distributed energy storage device into the optimal dispatch model; The wind turbine output parameter model and photovoltaic output parameter model in the energy generation device are input into the optimal scheduling model; then the gas boiler parameter model, gas turbine parameter model, waste heat recovery device parameter model, and electric boiler parameter model in the energy conversion device are input into the optimal scheduling model. The model can determine the known decision variables: the charging power of new energy vehicles, the discharge power of new energy vehicles, the power of gas-electric conversion devices to absorb wind power generation, the power of gas-to-electric conversion devices to absorb photovoltaic power generation, and the charging of hydrogen storage devices Efficiency, discharge efficiency of hydrogen storage device, charging efficiency of battery, discharge efficiency of battery, heat release efficiency of heat storage device, heat storage efficiency of heat storage device, wind discharge power, photovoltaic power generation power, interruptible load power and natural gas consumption of gas turbine In the case of energy storage, the energy storage of energy storage devices such as new energy vehicles, gas-to-electricity conversion devices, hydrogen storage devices, batteries, heat storage devices, and heat storage devices can be obtained by solving the solution, and the energy storage can be used for energy conversion, including converting surplus electric energy into For thermal energy or gas energy, the surplus gas energy is converted into electrical energy or thermal energy, and the surplus thermal energy is converted into electrical energy or gas energy, so as to achieve random fluctuation and intermittent supplement to distributed energy.

本申请一种示例采用运行净利润最大为目标建立优化调度模型。优化调度模型如(18)式所示:An example of the present application uses the maximum operating net profit as the goal to establish an optimal scheduling model. The optimal scheduling model is shown in equation (18):

Figure BDA0003127611860000141
f1为第一求解目标。
Figure BDA0003127611860000141
f1 is the first solution target.

其中,T为一个周期24小时。I为预设含混合储能的综合能源系统的收益,C为预设含混合储能的综合能源系统的成本。I的计算如(19)式所示:Among them, T is a period of 24 hours. I is the income of the pre-set integrated energy system with hybrid energy storage, and C is the pre-set cost of the integrated energy system with hybrid energy storage. The calculation of I is shown in formula (19):

Figure BDA0003127611860000142
Figure BDA0003127611860000142

C的计算如(20)式所示:The calculation of C is shown in formula (20):

C=Cpv、W,t+CP2G,t+CEV,t+CMT,t+Cmain (20);C = Cpv, W, t + CP2G, t + CEV, t + CMT, t + Cmain (20);

其中,IL,t为t时段负荷收益,IM,t表示能源市场收益,IEV,t表示新能源汽车充电收益和放电收益;

Figure BDA0003127611860000151
表示蓄电池收益,
Figure BDA0003127611860000152
表示储氢装置收益,
Figure BDA0003127611860000153
表示储热装置收益。Cpv表示t时段风电机组运维成本,CW,t表示光伏发电的运维成本,CP2G,t表示P2G运行转化成本,CMT,t表示燃气轮机运维成本,Cmain表示除上述设备外的其他设备的维护成本。Among them,IL, t is the load income in the t period,IM, t is the energy market income, IEV, t is the charging income and discharging income of new energy vehicles;
Figure BDA0003127611860000151
represents the battery revenue,
Figure BDA0003127611860000152
represents the revenue of the hydrogen storage device,
Figure BDA0003127611860000153
Represents thermal storage device revenue. Cpv represents the operation and maintenance cost of wind turbines in period t, CW, t represents the operation and maintenance cost of photovoltaic power generation, CP2G, t represents the conversion cost of P2G operation, CMT, t represents the operation and maintenance cost of the gas turbine, and Cmain represents the equipment other than the above maintenance costs of other equipment.

t时段负荷收益的计算方法如(21)式所示:The calculation method of load income in period t is shown in formula (21):

Figure BDA0003127611860000154
Figure BDA0003127611860000154

其中,PL,t是t时段负荷,

Figure BDA0003127611860000155
是第k级中断负荷功率,k是中断等级数。λM,t是市场电价;
Figure BDA0003127611860000156
是第k级中断负荷补偿价格。wherePL, t is the load in period t,
Figure BDA0003127611860000155
is the k-th level of interruption load power, and k is the number of interruption levels. λM, t is the market electricity price;
Figure BDA0003127611860000156
is the k-th level interrupt load compensation price.

能源市场的收益包括电力市场收益和热网收益如(22)式所示:The income of the energy market includes the income of the electricity market and the income of the heat network, as shown in formula (22):

IM,t=λsu,tPM,tμsu,tsd,tPM,tμsd,tαQt (22);IM, t = λsu, t PM, t μsu, t −λsd, t PM, t μsd, tα Qt (22);

其中,PM,t是t时段预设含混合储能的综合能源系统与电力市场交易量,Qt是t时段预设含混合储能的综合能源系统与热网市场交易量。在预设含混合储能的综合能源系统售电时,μsu,t取值为1,μsd,t取值为0,在预设含混合储能的综合能源系统购电时,μsu,t取值为0,μsd,t取值为1。λsu,t是预设含混合储能的综合能源系统与电力市场的合同售电价格,λsd,t是预设含混合储能的综合能源系统与电力市场的合同购电价格,λα是预设含混合储能的综合能源系统与热网交易价格。Among them, PM,t is the preset transaction volume of the integrated energy system with hybrid energy storage and the electricity market in the t period, and Qt is the preset transaction volume of the integrated energy system with hybrid energy storage and the heat grid market in the t period. When the integrated energy system with hybrid energy storage is preset to sell electricity, μsu,t takes the value of 1, and μsd,t takes the value of 0. When the integrated energy system with hybrid energy storage is preset to purchase electricity, μsu , t takes a value of 0, μsd, t takes a value of 1. λsu,t is the default contract electricity sales price of the integrated energy system with hybrid energy storage and the electricity market, λsd,t is the default contract electricity purchase price of the integrated energy system with hybrid energy storage and the electricity market, λα It is the preset transaction price of the integrated energy system with hybrid energy storage and the heat grid.

单辆新能源汽车的收益计算方式如(23)式所示:The calculation method of the income of a single new energy vehicle is shown in formula (23):

IEV,t=λch,tPEV,tμch,tdis,tPEV,tμdis,tEVPEV,t (23);IEV, t = λch, t PEV, t μch, tdis, t PEV, t μdis, t −λEV PEV, t (23);

PEV,t取值为正数时表示t时段新能源汽车充电量,PEV,t取值为负数时表示t时段新能源汽车放电量。在新能源汽车充电的情况下,μch,t取值为1,μdis,t取值为0,在新能源汽车放电的情况下,μch,t取值为0,μdis,t取值为1。λch,t表示新能源汽车充电价格,λdis,t表示新能源汽车放电价格,λEV表示新能源汽车充放电补偿系数。When PEV, t is a positive number, it represents the charging amount of the new energy vehicle in the t period, and when PEV, t is a negative number, it represents the new energy vehicle discharging amount in the t period. In the case of charging the new energy vehicle, μch, t takes the value of 1, μdis, t takes the value 0, in the case of the discharge of the new energy vehicle, μch, t takes the value 0, μdis, t takes the value The value is 1.λch,t represents the charging price of new energy vehicles,λdis,t represents the charging price of new energy vehicles, andλEV represents the charging and discharging compensation coefficient of new energy vehicles.

蓄电池售能收益如(24)式所示:The energy sales revenue of battery is shown in formula (24):

Figure BDA0003127611860000157
其中,cE,t表示蓄电池放电的收入、
Figure BDA0003127611860000158
表示储氢装置售能收入,cT,t表示储热装置售热收入,PFC,t表示储氢装置售电量,
Figure BDA0003127611860000161
表示储氢装置售热量。
Figure BDA0003127611860000157
Among them, cE, t represents the income of battery discharge,
Figure BDA0003127611860000158
represents the energy sales revenue of the hydrogen storage device, cT,t represents the heat sales revenue of the heat storage device, PFC,t represents the electricity sales volume of the hydrogen storage device,
Figure BDA0003127611860000161
Indicates the heat sold by the hydrogen storage device.

储氢装置收益如(25)式所示:The revenue of hydrogen storage device is shown in formula (25):

Figure BDA0003127611860000162
Figure BDA0003127611860000162

其中,in,

储热装置收益如(26)式所示:The revenue of the heat storage device is shown in formula (26):

Figure BDA0003127611860000163
Figure BDA0003127611860000163

其中in

风电机组和光伏发电的运维成本如(27)和(28)式所示:The operation and maintenance costs of wind turbines and photovoltaic power generation are shown in equations (27) and (28):

CPV=λ1PPV,t2PW,t (27);CPV1 PPV,t2 PW,t (27);

CW,t=λ1PPV,t2PW,t (28);其中,PPV,t是i区域t时段光伏机功率,PW,t是i区域t时段的风机功率,λ1是风机电组的运维成本、λ2是光伏的运维成本。CW,t1 PPV,t2 PW,t (28); wherein, PPV,t is the photovoltaic power in the i region during the t period, PW,t is the fan power in the i region during the t period, λ1 is the operation and maintenance cost of the wind turbine, and λ2 is the operation and maintenance cost of the photovoltaic.

气电转换装置的运行转化成本的计算方式如(29)式所示:The calculation method of the operation conversion cost of the gas-electric conversion device is shown in formula (29):

Figure BDA0003127611860000164
其中,λP2G是P2G运行转化成本,
Figure BDA0003127611860000165
是CO2的单价。
Figure BDA0003127611860000164
Among them, λP2G is the conversion cost of P2G operation,
Figure BDA0003127611860000165
is the unit price of CO2.

燃气轮机运维成本的计算方式如(30)式所示:The calculation method of gas turbine operation and maintenance cost is shown in formula (30):

Figure BDA0003127611860000166
Figure BDA0003127611860000166

其中,λgas为t时段天然气价格,

Figure BDA0003127611860000167
为燃气轮机的启动成本,
Figure BDA0003127611860000168
为燃气轮机的停止成本;
Figure BDA0003127611860000169
Figure BDA00031276118600001610
是布尔变量,t时段燃气轮机启动时,
Figure BDA00031276118600001611
取值为1,
Figure BDA00031276118600001612
取值为0;t时段燃气轮机停止时,
Figure BDA00031276118600001613
取值为0,
Figure BDA00031276118600001614
取值为1。Among them, λgas is the price of natural gas in period t,
Figure BDA0003127611860000167
for the start-up cost of the gas turbine,
Figure BDA0003127611860000168
for the stopping cost of the gas turbine;
Figure BDA0003127611860000169
and
Figure BDA00031276118600001610
is a Boolean variable, when the gas turbine starts at time t,
Figure BDA00031276118600001611
Take the value 1,
Figure BDA00031276118600001612
The value is 0; when the gas turbine stops in the t period,
Figure BDA00031276118600001613
Take the value 0,
Figure BDA00031276118600001614
Take the value 1.

其余设备的维护成本的计算方式如(31)式所示:The calculation method of the maintenance cost of the remaining equipment is shown in formula (31):

Figure BDA00031276118600001615
Figure BDA00031276118600001615

(31);其中,

Figure BDA00031276118600001616
表示调度周期内电解池的设备维护成本,
Figure BDA00031276118600001617
表示调度周期内燃料电池的设备维护成本,
Figure BDA00031276118600001618
表示调度周期内储氢装置的设备维护成本,
Figure BDA00031276118600001619
表示调度周期内储热装置的设备维护成本,
Figure BDA00031276118600001620
表示调度周期内蓄电池的设备维护成本。(31); wherein,
Figure BDA00031276118600001616
represents the equipment maintenance cost of the electrolytic cell in the dispatch period,
Figure BDA00031276118600001617
represents the equipment maintenance cost of the fuel cell in the dispatch period,
Figure BDA00031276118600001618
represents the equipment maintenance cost of the hydrogen storage device during the dispatch period,
Figure BDA00031276118600001619
represents the equipment maintenance cost of the heat storage device during the dispatch period,
Figure BDA00031276118600001620
Indicates the equipment maintenance cost of the battery during the dispatch period.

步骤S13:构建所述分布式能源发生装置的弃能模型。Step S13: constructing an energy-discarding model of the distributed energy generating device.

本申请一种示例构建弃能模型的方式如(32)式所示,弃风弃光率最小化为虚拟电厂弃风弃光量与实际可用新能源量的比值:An example of the method of constructing an energy abandonment model in the present application is shown in formula (32), and the rate of abandoning wind and light is minimized as the ratio of the amount of abandoned wind and light in the virtual power plant to the actual amount of new energy available:

Figure BDA0003127611860000171
f2为第二求解目标。
Figure BDA0003127611860000171
f2 is the second solution target.

其中,

Figure BDA0003127611860000172
为弃风量,
Figure BDA0003127611860000173
为弃光量,
Figure BDA0003127611860000174
为实际可用风电总量,
Figure BDA0003127611860000175
为实际可用光伏总量。in,
Figure BDA0003127611860000172
For the abandoned air volume,
Figure BDA0003127611860000173
to discard the amount of light,
Figure BDA0003127611860000174
is the actual total available wind power,
Figure BDA0003127611860000175
is the actual total available PV.

步骤S14:将收益最大作为所述优化调度模型的第一求解目标,将能源损耗最小作为所述弃能模型的第二求解目标,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量,以利用所述电能转化量平衡所述预设含混合储能的综合能源系统的能源差量。Step S14: take the maximum profit as the first solution objective of the optimal scheduling model, take the minimum energy loss as the second solution objective of the energy abandonment model, and use the fuzzy membership function according to the first solution objective and the first solution objective. 2. Solving the target, calculating and obtaining the electric energy conversion amount of the distributed energy generation device, so as to use the electric energy conversion amount to balance the energy difference of the preset integrated energy system including hybrid energy storage.

利用模糊隶属度函数根据第一求解目标和第二求解目标,求解优化调度模型和弃能模型,得到分布式储能装置的电能转化量的具体方法如下:The fuzzy membership function is used to solve the optimal scheduling model and the energy abandonment model according to the first solution objective and the second solution objective, and the specific method to obtain the electric energy conversion amount of the distributed energy storage device is as follows:

为了兼顾系统净收益最大和弃能量最小的双目标问题,利用模糊隶属度函数从Pareto解集中权衡筛选出最终调度方案,计算收益最大和弃能量最小的双目标问题可以按照(33)和(34)式所示方法:In order to take into account the dual-objective problem of the maximum net gain and the minimum abandonment energy, the fuzzy membership function is used to screen out the final scheduling scheme from the Pareto solution set. ) as shown in the method:

Figure BDA0003127611860000176
Figure BDA0003127611860000176

Figure BDA0003127611860000177
Figure BDA0003127611860000177

其中xm为目标函数的值,μm,i为m个非劣解xm对第i个目标的满意度;fi(xm)为非劣解xm的第i个目标值,

Figure BDA0003127611860000178
为第i个目标的最大值,
Figure BDA0003127611860000179
为第i个目标的最小值,μm为非劣解xm对所有目标的综合满意度,M为非劣解的个数;L为目标个数,在本申请中目标个数为2。where xm is the value of the objective function, μm,i is the satisfaction of m non-inferior solutions xm to the ith objective; fi (xm ) is the ith objective value of non-inferior solutions xm ,
Figure BDA0003127611860000178
is the maximum value of the ith target,
Figure BDA0003127611860000179
is the minimum value of the i-th objective, μm is the comprehensive satisfaction of non-inferior solutions xm for all objectives, M is the number of non-inferior solutions; L is the number of objectives, in this application the number of objectives is 2.

本文所采用的含混合储能的综合能源虚拟电厂多目标优化模型的求解流程如下:The solution process of the multi-objective optimization model of the integrated energy virtual power plant with hybrid energy storage used in this paper is as follows:

(1)设置种群规模,迭代次数,假使初始迭代次数k=1,等基本条件。本申请中种群是文中所提到的目标函数。(1) Set the population size, the number of iterations, and if the initial number of iterations is k=1, and other basic conditions. The population in this application is the objective function mentioned in the text.

(2)初始化种群。(2) Initialize the population.

(3)计算个体目标函数值优化调度模型和弃能模型,并利用Pareto优先排序法进行排序。(3) Calculate the optimal scheduling model and the energy-discarding model of the individual objective function values, and use the Pareto priority sorting method to sort.

(4)计算两个粒子的两个目标函数适应度值,进一步更新个体最优值。(4) Calculate the fitness values of the two objective functions of the two particles, and further update the individual optimal values.

(5)假设k是10倍数,执行选择、交叉和变异操作,重新初始化个体最优值,更新粒子的速度和位置。(5) Assuming k is a multiple of 10, perform selection, crossover and mutation operations, re-initialize the individual optimal value, and update the velocity and position of the particle.

(6)判断迭代是否结束,若达到设定的最大迭代次数,则转到(7),否则转到(3),进行下一次迭代。(6) Judging whether the iteration is over, if the set maximum number of iterations is reached, go to (7), otherwise go to (3), and go to the next iteration.

(7)引用模糊隶属度函数从Pareto解集中权衡筛选出最终调度方案,若t=t+1,若t≤1,若t<T转到(2),直到得到兼顾能源损耗最小和收益最大的解。(7) Refer to the fuzzy membership function to screen out the final scheduling plan from the Pareto solution set. If t=t+1, if t≤1, if t<T, go to (2), until the minimum energy loss and maximum profit are obtained. solution.

本申请另一种实施例还会设置平衡约束条件,以使预设含混合储能的综合能源系统能在兼顾能量平衡的条件下,得到分布式储能装置中各个设备的电能转化量,从而实现对分布式能源的随机波动性、间歇性的补充。In another embodiment of the present application, a balance constraint condition is also set, so that the preset integrated energy system including hybrid energy storage can obtain the electric energy conversion amount of each device in the distributed energy storage device under the condition of taking into account the energy balance, thereby Realize the random fluctuation and intermittent replenishment of distributed energy.

获取当前时间的电量需求;根据所述电量需求和所述分布式能源发生装置产生的实时电量,构建电能平衡约束条件;根据所述风电装置的弃风损耗,以及所述光伏发电装置的弃光损耗,构建第二电能平衡约束条件。Obtain the electricity demand at the current time; construct the power balance constraint according to the electricity demand and the real-time electricity generated by the distributed energy generation device; according to the wind curtailment loss of the wind power device and the abandoned light of the photovoltaic power generation device loss, construct a second power balance constraint.

预设含混合储能的综合能源系统采用(35)式约束电量与发电量保持瞬时平衡。The pre-set integrated energy system with hybrid energy storage adopts the formula (35) to constrain the amount of electricity and the amount of electricity generated to maintain an instantaneous balance.

Figure BDA0003127611860000181
Figure BDA0003127611860000181

其中,

Figure BDA0003127611860000182
表示光伏功率;
Figure BDA0003127611860000183
表示风机功率;
Figure BDA0003127611860000184
表示燃气轮机功率,
Figure BDA0003127611860000185
表示储氢装置输出的电功率;
Figure BDA0003127611860000186
表示风机功率;
Figure BDA0003127611860000187
表示燃气轮机功率,
Figure BDA0003127611860000188
表示储氢装置输出的电功率,PM,t表示从外部电网获得的电量;PEV,t表示新能源汽车充电量或者放电量;
Figure BDA0003127611860000189
表示电解池释放的能量;PL,t表示电负荷量;
Figure BDA00031276118600001810
表示中断负荷功率;
Figure BDA00031276118600001811
表示蓄电池放电量。in,
Figure BDA0003127611860000182
Indicates photovoltaic power;
Figure BDA0003127611860000183
Indicates the fan power;
Figure BDA0003127611860000184
represents the power of the gas turbine,
Figure BDA0003127611860000185
Represents the electrical power output by the hydrogen storage device;
Figure BDA0003127611860000186
Indicates the fan power;
Figure BDA0003127611860000187
represents the power of the gas turbine,
Figure BDA0003127611860000188
Represents the electric power output by the hydrogen storage device, PM,t represents the electricity obtained from the external power grid; PEV,t represents the charging or discharging amount of the new energy vehicle;
Figure BDA0003127611860000189
Represents the energy released by the electrolytic cell; PL,t represents the electrical load;
Figure BDA00031276118600001810
Indicates the interrupted load power;
Figure BDA00031276118600001811
Indicates the battery discharge level.

其中,

Figure BDA00031276118600001812
in,
Figure BDA00031276118600001812

其中,

Figure BDA00031276118600001813
表示光伏功率;
Figure BDA00031276118600001814
表示弃光量;
Figure BDA00031276118600001815
表示光伏总出力。in,
Figure BDA00031276118600001813
Indicates photovoltaic power;
Figure BDA00031276118600001814
Indicates the amount of discarded light;
Figure BDA00031276118600001815
Indicates the total photovoltaic output.

Figure BDA0003127611860000191
Figure BDA0003127611860000191

式中

Figure BDA0003127611860000192
表示风机功率;
Figure BDA0003127611860000193
表示弃风量;
Figure BDA0003127611860000194
表示风机总出力。in the formula
Figure BDA0003127611860000192
Indicates the fan power;
Figure BDA0003127611860000193
Indicates the abandoned air volume;
Figure BDA0003127611860000194
Indicates the total output of the fan.

利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量,包括:在所述第一电能平衡约束条件和所述第二电能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。Using the fuzzy membership function to calculate the power conversion amount of the distributed energy generation device according to the first solution target and the second solution target, including: under the first power balance constraint condition and the second Under the constraint condition of power balance, a fuzzy membership function is used to calculate the power conversion amount of the distributed energy generation device according to the first solution target and the second solution target.

获取当前时间的热量需求、热能供应量、气能需求以及气能供应量;Obtain the heat demand, heat energy supply, gas energy demand and gas energy supply at the current time;

根据所述热量需求和所述热能供应量,构建热能平衡约束条件;constructing thermal energy balance constraints according to the heat demand and the thermal energy supply;

预设含混合储能的综合能源系统采用(38)式约热能使用量和热能产出量保持瞬时平衡。The pre-set integrated energy system with hybrid energy storage adopts Equation (38) to approximate the thermal energy usage and thermal energy output to maintain an instantaneous balance.

Figure BDA0003127611860000195
Figure BDA0003127611860000195

其中,

Figure BDA0003127611860000196
表示电锅炉供热量;
Figure BDA0003127611860000197
表示燃气锅炉供热量;
Figure BDA0003127611860000198
表示燃气轮机供热量;
Figure BDA0003127611860000199
表示储热装置放热量;Qt表示从外部热网获得的热量;
Figure BDA00031276118600001910
表示储热量;Lh,t表示实际被使用的热量。in,
Figure BDA0003127611860000196
Indicates the heat supplied by the electric boiler;
Figure BDA0003127611860000197
Indicates the heat supplied by the gas boiler;
Figure BDA0003127611860000198
Represents the heat supplied by the gas turbine;
Figure BDA0003127611860000199
Represents the heat released by the heat storage device; Qt represents the heat obtained from the external heat network;
Figure BDA00031276118600001910
Represents heat storage; Lh, t represents the heat actually used.

根据所述气能需求和所述气能供应量,构建气能平衡约束条件;According to the gas energy demand and the gas energy supply amount, constructing a gas energy balance constraint condition;

除了外界燃气市场外,预设含混合储能的综合能源系统内部仅有P2G能源转换设备进行气能供应,因此预设含混合储能的综合能源系统采用(39)式约热能保持瞬时平衡。In addition to the external gas market, the pre-set integrated energy system with hybrid energy storage only has P2G energy conversion equipment to supply gas energy. Therefore, the pre-set integrated energy system with hybrid energy storage adopts the formula (39) to maintain the instantaneous balance of thermal energy.

Figure BDA00031276118600001911
Figure BDA00031276118600001911

其中,

Figure BDA00031276118600001912
表示P2G产气功率;Qgas表示从外部气网获得的天然气量;
Figure BDA00031276118600001913
表示燃气锅炉消耗天然气的功率;
Figure BDA00031276118600001914
表示燃气锅炉消耗的天然气量;Lg,t表示预设含混合储能的综合能源系统所需的气负荷。in,
Figure BDA00031276118600001912
Represents the power of P2G gas production; Qgas represents the amount of natural gas obtained from the external gas network;
Figure BDA00031276118600001913
Indicates the power consumption of natural gas by the gas boiler;
Figure BDA00031276118600001914
Indicates the amount of natural gas consumed by the gas boiler; Lg,t represents the gas load required by the pre-set integrated energy system with mixed energy storage.

本申请实施例还采用(40)和(41)式进行中断负荷约束。The embodiments of the present application also use equations (40) and (41) to limit the interruption load.

Figure BDA00031276118600001915
Figure BDA00031276118600001915

Figure BDA00031276118600001916
Figure BDA00031276118600001916

Figure BDA00031276118600001917
是t时段第k级可中断负荷最大功率。
Figure BDA00031276118600001917
is the maximum power of the interruptable load of the kth level in the t period.

其他设备,例如风电机组约束,涉及风电-光伏机组、电动汽车的约束条件可以采用相关技术的约束条件,本申请实施例不再赘述。For other equipment, such as wind turbine constraints, constraints related to wind power-photovoltaic sets and electric vehicles, the constraints of related technologies may be adopted, which will not be repeated in this embodiment of the present application.

利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量,包括:在所述热能平衡约束条件和所述气能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。Using the fuzzy membership function to calculate the electric energy conversion amount of the distributed energy generation device according to the first solution target and the second solution target, including: under the thermal energy balance constraint condition and the gas energy balance constraint Under the conditions, the electric energy conversion amount of the distributed energy generating device is calculated and obtained according to the first solution target and the second solution target by using a fuzzy membership function.

基于同一发明构思,本申请实施例提供一种含混合储能的综合能源系统运行控制装置。参考图3,图3是本申请实施例提出的含混合储能的综合能源系统运行控制装置的功能模块图。该装置包括:Based on the same inventive concept, the embodiments of the present application provide an operation control device for an integrated energy system with hybrid energy storage. Referring to FIG. 3 , FIG. 3 is a functional block diagram of an operation control device for an integrated energy system with hybrid energy storage proposed in an embodiment of the present application. The device includes:

第一加入模块31,用于根据可再生能源的消纳需求,将分布式储能装置加入电热气综合能源系统,得到预设含混合储能的综合能源系统;其中,所述电热气综合能源系统包括分布式能源发生装置;The first addingmodule 31 is used to add the distributed energy storage device to the electric-heat-gas integrated energy system according to the consumption demand of renewable energy, so as to obtain a preset integrated energy system including mixed energy storage; wherein, the electric-heat-gas integrated energy system The system includes a distributed energy generating device;

第一构建模块32,用于根据第一运行参数和第二运行参数,构建所述预设含混合储能的综合能源系统的优化调度模型;其中,所述第一运行参数是所述分布式储能装置的储能功率,所述第二运行参数是所述分布式能源发生装置的功率;Thefirst building module 32 is configured to build the optimal scheduling model of the preset integrated energy system including hybrid energy storage according to the first operating parameter and the second operating parameter; wherein the first operating parameter is the distributed energy storage system. the energy storage power of the energy storage device, and the second operating parameter is the power of the distributed energy generating device;

第二构建模块33,用于构建所述分布式能源发生装置的弃能模型;Thesecond building module 33 is used to build the energy abandonment model of the distributed energy generating device;

计算模块34,用于将收益最大作为所述优化调度模型的第一求解目标,将能源损耗最小作为所述弃能模型的第二求解目标,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式储能装置的电能转化量,以利用所述电能转化量平衡所述预设含混合储能的综合能源系统的能源差量。Thecalculation module 34 is used for taking the maximum profit as the first solution objective of the optimal scheduling model, taking the minimum energy loss as the second solution objective of the energy abandonment model, and using the fuzzy membership function according to the first solution objective and The second solution target is to calculate the electric energy conversion amount of the distributed energy storage device, so as to use the electric energy conversion amount to balance the energy difference of the preset integrated energy system including hybrid energy storage.

可选地,所述分布式能源发生装置包括风电装置和光伏发电装置;所述第一加入模块包括:Optionally, the distributed energy generation device includes a wind power device and a photovoltaic power generation device; the first adding module includes:

第一加入子模块,用于根据所述风电装置和所述光伏发电装置需求的电功率消纳,将气电转换装置加入电热气综合能源系统;a first adding sub-module for adding the gas-electric conversion device to the electric-heat-gas integrated energy system according to the electric power consumption required by the wind power device and the photovoltaic power generation device;

第二加入子模块,用于根据新能源汽车具有的能源转换特征,将所述新能源汽车加入电热气综合能源系统;The second adding sub-module is used for adding the new energy vehicle to the electric heating gas integrated energy system according to the energy conversion characteristics of the new energy vehicle;

第三加入子模块,用于根据储氢装置具有与多种能源进行转换的特性和长期储能需求,将所述储氢装置加入电热气综合能源系统;The third adding sub-module is used for adding the hydrogen storage device to the electric-heat-gas integrated energy system according to the characteristics of the hydrogen storage device being converted with multiple energy sources and the long-term energy storage requirements;

第四加入子模块,用于根据实时储能需求,将蓄电池和储热罐加入所述预设含混合储能的综合能源系统。The fourth adding sub-module is used for adding the battery and the heat storage tank to the preset integrated energy system including hybrid energy storage according to the real-time energy storage demand.

可选地,所述预设含混合储能的综合能源系统分别连接外部电网和外部热网,所述装置还包括:Optionally, the preset integrated energy system including hybrid energy storage is respectively connected to an external power grid and an external heat grid, and the device further includes:

第二加入模块,用于根据所述外部电网和所述外部热网的能源需求差量,将电锅炉加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的热电联供需求。The second adding module is used to add electric boilers to the preset integrated energy system including hybrid energy storage according to the difference in energy demand between the external power grid and the external heat grid, so as to optimize and control the combined heat and power in different areas. supply and demand.

可选地,所述预设含混合储能的综合能源系统连接外部气网;所述装置还包括:Optionally, the preset integrated energy system including hybrid energy storage is connected to an external gas grid; the device further includes:

第三加入模块,用于根据所述外部电网和所述外部气网的能源需求差量,以及所述外部热网和所述外部气网的能源需求差量,将燃气锅炉、燃气轮机以及余热回收装置加入所述预设含混合储能的综合能源系统,以调优化控制不同区域的能源联供需求。The third adding module is used for recovering the gas boiler, gas turbine and waste heat according to the difference in energy demand between the external power grid and the external gas network and the difference in energy demand between the external heat network and the external gas network The device is added to the preset integrated energy system including hybrid energy storage to adjust and optimally control the energy co-supply demand in different regions.

可选地,所述装置还包括:Optionally, the device further includes:

第一获取模块,用于获取当前时间的电量需求;The first obtaining module is used to obtain the electricity demand at the current time;

第三构建模块,用于构建所述分布式储能装置的第一能量模型;其中,所述第一能量模型用于表征所述第一运行参数与所述分布式储能装置发生的电能转换量的关联关系;a third building module for constructing a first energy model of the distributed energy storage device; wherein the first energy model is used to characterize the electrical energy conversion between the first operating parameter and the distributed energy storage device quantitative relationship;

所述第一构建模块包括:The first building block includes:

第一构建子模块,用于将所述电量需求、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。a first construction sub-module, configured to determine the power demand, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, and determine the electrical energy conversion amount as the optimal scheduling The output variables of the model are used to construct the optimal dispatch model of the preset integrated energy system including hybrid energy storage.

可选地,所述装置还包括:Optionally, the device further includes:

第一获取模块,用于获取当前时间的电量需求;The first obtaining module is used to obtain the electricity demand at the current time;

第四构建模块,用于根据所述电量需求和所述分布式能源发生装置产生的实时电量,构建电能平衡约束条件;a fourth building module, configured to construct a power balance constraint condition according to the power demand and the real-time power generated by the distributed energy generating device;

第五构建模块,用于根据所述风电装置的弃风损耗,以及所述光伏发电装置的弃光损耗,构建第二电能平衡约束条件;a fifth building module, configured to construct a second power balance constraint condition according to the abandoned wind loss of the wind power device and the abandoned light loss of the photovoltaic power generation device;

所述第一构建模块包括:The first building block includes:

第二构建子模块,用于在所述第一电能平衡约束条件和所述第二电能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。The second construction sub-module is configured to use a fuzzy membership function according to the first solution target and the second solution target under the first power balance constraint condition and the second power balance constraint condition to calculate and obtain The electric energy conversion amount of the distributed energy generating device.

所述装置还包括:The device also includes:

第三获取模块,用于获取当前时间的热量需求、热能供应量、气能需求以及气能供应量;The third obtaining module is used to obtain the heat demand, heat energy supply, gas energy demand and gas energy supply at the current time;

第五构建模块,用于根据所述热量需求和所述热能供应量,构建热能平衡约束条件;a fifth building module, configured to build a thermal energy balance constraint condition according to the heat demand and the thermal energy supply;

第六构建模块,用于根据所述气能需求和所述气能供应量,构建气能平衡约束条件;a sixth building module, configured to construct a gas-energy balance constraint condition according to the gas-energy demand and the gas-energy supply;

所述计算模块包括:The computing module includes:

第一计算子模块,用于在所述热能平衡约束条件和所述气能平衡约束条件下,利用模糊隶属度函数根据所述第一求解目标和所述第二求解目标,计算得到所述分布式能源发生装置的电能转化量。a first calculation sub-module, configured to calculate the distribution according to the first solution target and the second solution target by using a fuzzy membership function under the thermal energy balance constraint condition and the gas energy balance constraint condition The amount of electric energy converted by the energy generating device.

可选地,所述装置还包括:第七构建模块,用于构建所述分布式能源发生装置的第二能量模型;其中,所述第二能量模型用于表征所述第二运行参数与所述分布式能源发生装置的出力量的关联关系;Optionally, the device further includes: a seventh building module for building a second energy model of the distributed energy generation device; wherein the second energy model is used to characterize the relationship between the second operating parameter and all Describe the relationship between the output power of the distributed energy generation device;

所述第一构建模块包括:The first building block includes:

第三构建子模块,用于将所述第二能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。The third construction sub-module is configured to determine the second energy model, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, and determine the electric energy conversion amount as the The output variables of the dispatching model are optimized, and the optimized dispatching model of the preset integrated energy system including hybrid energy storage is constructed.

可选地,所述预设含混合储能的综合能源系统包括能量转换装置;所述装置还包括:Optionally, the preset integrated energy system including hybrid energy storage includes an energy conversion device; the device further includes:

第四加入模块,用于根据所述外部电网、所述外部气网以及所述外部热网中任意两者之间的能量转换需求,将能量转换装置加入电热气综合能源系统,得到具有能量转换装置的预设含混合储能的综合能源系统;The fourth adding module is used for adding the energy conversion device into the electric heating gas integrated energy system according to the energy conversion requirements between any two of the external power grid, the external gas grid and the external heat grid, so as to obtain an energy conversion device with energy conversion capability. The device's preset integrated energy system with hybrid energy storage;

所述第一构建模块包括:The first building block includes:

第四构建子模块,用于根据第一运行参数、第二运行参数以及第三运行参数,构建所述优化调度模型;其中,所述第三运行参数是所述能量转换装置的放电效率、放热效率或者气能消耗量。The fourth construction sub-module is configured to construct the optimal scheduling model according to the first operation parameter, the second operation parameter and the third operation parameter; wherein the third operation parameter is the discharge efficiency, discharge efficiency of the energy conversion device Thermal efficiency or gas energy consumption.

所述装置还包括:The device also includes:

第八构建模块,用于构建所述能量转换装置的第三能量模型;其中,所述第三能量模型用于表征所述第三运行参数与所述能量转换装置的能量消耗量的关联关系;an eighth building module for constructing a third energy model of the energy conversion device; wherein the third energy model is used to characterize the relationship between the third operating parameter and the energy consumption of the energy conversion device;

所述第一构建模块包括:The first building block includes:

第五构建子模块,用于将所述第三能量模型、所述第一运行参数以及所述第二运行参数确定为所述优化调度模型的输入变量,将所述电能转换量确定为所述优化调度模型的输出变量,构建所述预设含混合储能的综合能源系统的优化调度模型。a fifth construction sub-module, configured to determine the third energy model, the first operating parameter and the second operating parameter as input variables of the optimal scheduling model, and determine the electric energy conversion amount as the The output variables of the dispatching model are optimized, and the optimized dispatching model of the preset integrated energy system including hybrid energy storage is constructed.

基于同一发明构思,本申请另一实施例提供一种可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如本申请上述任一实施例所述的含混合储能的综合能源系统运行控制方法中的步骤。Based on the same inventive concept, another embodiment of the present application provides a readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the hybrid energy storage device described in any of the foregoing embodiments of the present application. Steps in an integrated energy system operation control method.

基于同一发明构思,本申请另一实施例提供一种电子设备,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,所述处理器执行时实现本申请上述任一实施例所述的含混合储能的综合能源系统运行控制方法中的步骤。Based on the same inventive concept, another embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implements any of the above-mentioned applications when executed The steps in the operation control method of the integrated energy system with hybrid energy storage described in the embodiment.

对于装置实施例而言,由于其与方法实施例基本相似,所以描述的比较简单,相关之处参见方法实施例的部分说明即可。As for the apparatus embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for related parts.

本说明书中的各个实施例均采用递进或说明的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似的部分互相参见即可。Each embodiment in this specification is described in a progressive or illustrative manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the various embodiments may be referred to each other.

本领域内的技术人员应明白,本申请实施例的实施例可提供为方法、装置、或计算机程序产品。因此,本申请实施例可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且,本申请实施例可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art should understand that the embodiments of the embodiments of the present application may be provided as methods, apparatuses, or computer program products. Accordingly, the embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

本申请实施例是参照根据本申请实施例的方法、装置、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理终端设备的处理器以产生一个机器,使得通过计算机或其他可编程数据处理终端设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The embodiments of the present application are described with reference to flowcharts and/or block diagrams of methods, apparatuses, and computer program products according to the embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing terminal equipment to produce a machine that causes the instructions to be executed by the processor of the computer or other programmable data processing terminal equipment Means are created for implementing the functions specified in the flow or flows of the flowcharts and/or the blocks or blocks of the block diagrams.

这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理终端设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing terminal equipment to operate in a particular manner, such that the instructions stored in the computer readable memory result in an article of manufacture comprising instruction means, the The instruction means implement the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

这些计算机程序指令也可装载到计算机或其他可编程数据处理终端设备上,使得在计算机或其他可编程终端设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程终端设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded on a computer or other programmable data processing terminal equipment, so that a series of operational steps are performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby executing on the computer or other programmable terminal equipment The instructions executed on the above provide steps for implementing the functions specified in the flowchart or blocks and/or the block or blocks of the block diagrams.

尽管已描述了本申请实施例的优选实施例,但本领域内的技术人员一旦得知了基本创造性概念,则可对这些实施例做出另外的变更和修改。所以,所附权利要求意欲解释为包括优选实施例以及落入本申请实施例范围的所有变更和修改。Although the preferred embodiments of the embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the embodiments of the present application.

最后,还需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者终端设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者终端设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者终端设备中还存在另外的相同要素。Finally, it should also be noted that in this document, relational terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply these entities or that there is any such actual relationship or sequence between operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or terminal device comprising a list of elements includes not only those elements, but also a non-exclusive list of elements. other elements, or also include elements inherent to such a process, method, article or terminal equipment. Without further limitation, an element defined by the phrase "comprises a..." does not preclude the presence of additional identical elements in the process, method, article or terminal device comprising said element.

以上对本申请所提供的一种含混合储能的综合能源系统运行控制方法,进行了详细介绍,以上实施例的说明只是用于帮助理解本申请的方法及其核心思想;同时,对于本领域的一般技术人员,依据本申请的思想,在具体实施方式及应用范围上均会有改变之处,综上所述,本说明书内容不应理解为对本申请的限制。The operation control method of an integrated energy system with hybrid energy storage provided by the present application has been described in detail above. The descriptions of the above embodiments are only used to help understand the method and the core idea of the present application; Persons of ordinary skill, according to the idea of the present application, will have changes in the specific implementation manner and application scope. In conclusion, the contents of this specification should not be construed as a limitation on the present application.

Claims (10)

1. An operation control method of an integrated energy system containing hybrid energy storage is characterized by comprising the following steps:
adding the distributed energy storage device into the electric-heating-gas comprehensive energy system according to the consumption demand of renewable energy to obtain a preset comprehensive energy system containing mixed energy storage; the electric-thermal gas integrated energy system comprises a distributed energy generation device;
constructing an optimized dispatching model of the preset hybrid energy storage-containing comprehensive energy system according to the first operating parameter and the second operating parameter; wherein the first operating parameter is stored energy power of the distributed energy storage device and the second operating parameter is power of the distributed energy generation device;
constructing an energy abandoning model of the distributed energy generation device;
and calculating the electric energy conversion amount of the distributed energy storage device by using a fuzzy membership function according to the first solving target and the second solving target so as to balance the energy difference amount of the preset comprehensive energy system containing mixed energy storage by using the electric energy conversion amount.
2. The method of claim 1, wherein the distributed energy generation facility comprises a wind power plant and a photovoltaic power plant; according to renewable energy's consumption demand, add electric heat gas comprehensive energy system with distributed energy storage device, obtain predetermineeing the comprehensive energy system who contains mixed energy storage, include:
adding a gas-electricity conversion device into an electric heating-gas comprehensive energy system according to the electric power consumption required by the wind power device and the photovoltaic power generation device;
adding the new energy automobile into an electric heating and gas comprehensive energy system according to the energy conversion characteristics of the new energy automobile;
adding the hydrogen storage device into an electric heating gas comprehensive energy system according to the characteristic that the hydrogen storage device is converted with various energy sources and the long-term energy storage requirement;
and adding a storage battery and a heat storage tank into the preset comprehensive energy system containing mixed energy storage according to the real-time energy storage requirement.
3. The method according to claim 1, wherein the preset hybrid energy storage-containing integrated energy system is respectively connected with an external power grid and an external heat supply network; the method further comprises the following steps:
and adding an electric boiler into the preset comprehensive energy system containing the mixed energy storage according to the energy demand difference between the external power grid and the external heat grid so as to adjust, optimize and control the combined heat and power demand of different areas.
4. The method of claim 3, wherein the predetermined hybrid energy storage-containing integrated energy system is connected to an external gas grid; the method further comprises the following steps:
and adding a gas boiler, a gas turbine and a waste heat recovery device into the preset comprehensive energy system containing hybrid energy storage according to the energy demand difference between the external power grid and the external air grid and the energy demand difference between the external heat supply grid and the external air grid so as to adjust and optimally control the energy co-supply requirements of different areas.
5. The method of claim 1, further comprising:
acquiring the electric quantity demand of the current time;
constructing a first energy model of the distributed energy storage device; the first energy model is used for representing the correlation relationship between the first operating parameter and the electric energy conversion amount generated by the distributed energy storage device;
according to the first operating parameter and the second operating parameter, an optimal scheduling model of the preset hybrid energy storage-containing comprehensive energy system is constructed, and the optimal scheduling model comprises the following steps:
and determining the electric quantity demand, the first operation parameter and the second operation parameter as input variables of the optimized scheduling model, determining the electric energy conversion quantity as output variables of the optimized scheduling model, and constructing the optimized scheduling model of the preset hybrid energy storage-containing comprehensive energy system.
6. The method of claim 2, further comprising:
acquiring the electric quantity demand of the current time;
constructing an electric energy balance constraint condition according to the electric quantity demand and the real-time electric quantity generated by the distributed energy generation device;
constructing a second electric energy balance constraint condition according to the abandoned wind loss of the wind power device and the abandoned light loss of the photovoltaic power generation device;
calculating the electric energy conversion quantity of the distributed energy generation device according to the first solving target and the second solving target by using a fuzzy membership function, wherein the calculation comprises the following steps:
and under the first electric energy balance constraint condition and the second electric energy balance constraint condition, calculating the electric energy conversion quantity of the distributed energy generation device by using a fuzzy membership function according to the first solving target and the second solving target.
7. The method of claim 1, further comprising:
acquiring the heat demand, the heat energy supply quantity, the gas energy demand and the gas energy supply quantity at the current time;
constructing a heat energy balance constraint condition according to the heat demand and the heat energy supply quantity;
constructing a gas energy balance constraint condition according to the gas energy demand and the gas energy supply quantity;
calculating the electric energy conversion quantity of the distributed energy generation device according to the first solving target and the second solving target by using a fuzzy membership function, wherein the calculation comprises the following steps:
and under the heat energy balance constraint condition and the gas energy balance constraint condition, calculating the electric energy conversion quantity of the distributed energy generation device by using a fuzzy membership function according to the first solving target and the second solving target.
8. The method of claim 5, further comprising:
constructing a second energy model of the distributed energy generation device; the second energy model is used for representing the correlation between the second operation parameter and the output of the distributed energy generation device;
according to the first operating parameter and the second operating parameter, an optimal scheduling model of the preset hybrid energy storage-containing comprehensive energy system is constructed, and the optimal scheduling model comprises the following steps:
and determining the second energy model, the first operating parameter and the second operating parameter as input variables of the optimized scheduling model, determining the electric energy conversion quantity as output variables of the optimized scheduling model, and constructing the optimized scheduling model of the preset hybrid energy storage-containing comprehensive energy system.
9. The method of claim 4, wherein the predetermined hybrid energy storage-containing integrated energy system comprises an energy conversion device; the method further comprises the following steps:
adding an energy conversion device into the electric-heating-gas comprehensive energy system according to the energy conversion requirement between any two of the external power grid, the external gas grid and the external heat supply network to obtain a preset comprehensive energy system with energy conversion device and hybrid energy storage;
according to the first operating parameter and the second operating parameter, an optimal scheduling model of the preset hybrid energy storage-containing comprehensive energy system is constructed, and the optimal scheduling model comprises the following steps:
constructing the optimized scheduling model according to the first operating parameter, the second operating parameter and the third operating parameter; wherein the third operating parameter is a discharge efficiency, a heat release efficiency, or a gas energy consumption of the energy conversion device.
10. The method of claim 5, further comprising:
constructing a third energy model of the energy conversion device; wherein the third energy model is used for characterizing the correlation of the third operating parameter and the energy consumption of the energy conversion device;
according to the first operating parameter and the second operating parameter, an optimal scheduling model of the preset hybrid energy storage-containing comprehensive energy system is constructed, and the optimal scheduling model comprises the following steps:
and determining the third energy model, the first operating parameter and the second operating parameter as input variables of the optimized scheduling model, determining the electric energy conversion quantity as output variables of the optimized scheduling model, and constructing the optimized scheduling model of the preset hybrid energy storage-containing comprehensive energy system.
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