技术领域Technical Field
本发明涉及电力模型构建技术领域，尤其涉及面向电网需求的储能系统辅助服务电力电量计算模型构建方法。The present invention relates to the technical field of power model construction, and in particular to a method for constructing an auxiliary service power quantity calculation model of an energy storage system oriented to power grid demand.
背景技术Background technique
随着新能源发电的并网比例不断增加，电网面临的调节压力也越来越大。新能源发电的间歇性和不确定性使得电网运行变得更加复杂，需要储能系统提供快速的调节能力，以保证电网的稳定运行。同时，电力市场的发展和电力辅助服务的商业化运营也为储能系统提供了广泛的应用场景和市场需求。同时储能技术的进步，成本的降低，储能系统在电力系统的调节、优化和调度中的作用将越来越重要。储能系统不仅可以提供电力电量计算模型所需的实时数据支持，还可以通过参与电力市场的辅助服务交易，实现经济效益的最大化。As the proportion of renewable energy power generation connected to the grid continues to increase, the regulation pressure faced by the power grid is also increasing. The intermittent and uncertain nature of renewable energy power generation makes the operation of the power grid more complicated, requiring energy storage systems to provide rapid regulation capabilities to ensure the stable operation of the power grid. At the same time, the development of the power market and the commercial operation of power auxiliary services have also provided a wide range of application scenarios and market demands for energy storage systems. At the same time, with the advancement of energy storage technology and the reduction of costs, the role of energy storage systems in the regulation, optimization and scheduling of power systems will become increasingly important. Energy storage systems can not only provide the real-time data support required by power and electricity calculation models, but also maximize economic benefits by participating in auxiliary service transactions in the power market.
现有的面向电网需求的储能系统辅助服务电力电量计算模型的构建方法主要包括以下几个方面：基于储能系统特性的建模方法：考虑储能系统的动态特性和运行限制，建立数学模型来描述储能系统的充放电过程和状态变化；数据驱动的建模方法：利用历史运行数据，通过机器学习等方法训练出储能系统的运行特性和响应行为；优化调度方法：结合电网运行需求和储能系统的运行特性，采用优化算法求解储能系统的最优充放电策略。The existing methods for constructing power and electricity calculation models for auxiliary services of energy storage systems for grid demand mainly include the following aspects: Modeling method based on the characteristics of energy storage systems: Considering the dynamic characteristics and operating limitations of the energy storage system, a mathematical model is established to describe the charging and discharging process and state changes of the energy storage system; Data-driven modeling method: Using historical operating data, the operating characteristics and response behaviors of the energy storage system are trained through machine learning and other methods; Optimization scheduling method: Combining the operating needs of the grid and the operating characteristics of the energy storage system, an optimization algorithm is used to solve the optimal charging and discharging strategy of the energy storage system.
例如公开号为：CN113569405A的发明专利公开的一种考虑多重分时电价的储能调度效益潜力评估方法及设备，包括：步骤1获取地区电力负荷观测值，建立基于电价弹性矩阵的需求响应模型，可用于计算分时电价策略后各小时负荷；步骤2基于等步长迭代方法生成多重分时电价，以步骤1中电力负荷观测值为输入量，利用多重分时电价计算各分时电价策略下的小时负荷数据，采用粒子群算法计算基于多重分时电价负荷数据的储能充放电电量；步骤3建立考虑多重分时电价方案的储能调度充放电效益潜力评估模型，并计算储能系统在不同分时电价策略下的充放电潜力。For example, the invention patent with publication number: CN113569405A discloses a method and device for evaluating the potential of energy storage scheduling benefits taking into account multiple time-of-use electricity prices, including: step 1 obtaining regional power load observation values, establishing a demand response model based on the electricity price elasticity matrix, which can be used to calculate the hourly load after the time-of-use electricity price strategy; step 2 generating multiple time-of-use electricity prices based on an equal-step iteration method, taking the power load observation value in step 1 as input, using multiple time-of-use electricity prices to calculate the hourly load data under each time-of-use electricity price strategy, and using a particle swarm algorithm to calculate the energy storage charging and discharging power based on the multiple time-of-use electricity price load data; step 3 establishing a storage scheduling charging and discharging benefit potential evaluation model taking into account multiple time-of-use electricity price schemes, and calculating the charging and discharging potential of the energy storage system under different time-of-use electricity price strategies.
例如公告号为：CN116316740B的发明专利公告的一种考虑新能源影响的储能代替火电容量效率计算方法，包括：获取预设地区规划年的火电装机容量、水电装机容量、储能装机容量和负荷最大需求；结合电力电量平衡关系式建立储能代替火电容量效率评估模型，在不考虑新能源影响下，计算得到典型方式下火电开机需求和储能容量，得到对应的储能代替火电容量效率；根据历史新能源数据随机生成多组新能源数据，依次分别计算每组新能源数据所对应的火电开机需求和储能容量，得到每一组新能源数据的储能代替火电容量效率，再按照预设百分比电力置信空间确定考虑新能源电力支撑能力的储能代替火电容量效率。For example, the invention patent with announcement number: CN116316740B announces a method for calculating the efficiency of energy storage replacing thermal power capacity taking into account the impact of new energy, including: obtaining the thermal power installed capacity, hydropower installed capacity, energy storage installed capacity and maximum load demand in a preset regional planning year; establishing an energy storage replacing thermal power capacity efficiency evaluation model in combination with the power and electricity balance relationship, and calculating the thermal power startup demand and energy storage capacity under typical conditions without considering the impact of new energy, and obtaining the corresponding energy storage replacing thermal power capacity efficiency; randomly generating multiple groups of new energy data based on historical new energy data, and calculating the thermal power startup demand and energy storage capacity corresponding to each group of new energy data in turn, and obtaining the energy storage replacing thermal power capacity efficiency of each group of new energy data, and then determining the energy storage replacing thermal power capacity efficiency taking into account the new energy power support capacity according to a preset percentage power confidence space.
但本申请在实现本申请实施例中发明技术方案的过程中，发现上述技术至少存在如下技术问题：However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:
现有技术中，储能系统辅助服务包含诸多方面，主要方面的水电、火电、风电和光伏等电力消纳特性都不一样，同时不同地区的电网需求对于储能系统辅助服务的需求方面不一样，现有对储能系统电力电量分析缺少对各影响方面的细化评估，存在不能有效提高构建储能系统辅助服务电力电量计算模型的准确性的问题。In the existing technology, the auxiliary services of energy storage systems include many aspects. The main aspects are hydropower, thermal power, wind power, photovoltaic power and other power consumption characteristics are different. At the same time, the power grid demand in different regions has different demands for auxiliary services of energy storage systems. The existing analysis of the power and electricity of energy storage systems lacks detailed evaluation of various influencing aspects, and there is a problem that it cannot effectively improve the accuracy of the power and electricity calculation model for the auxiliary services of energy storage systems.
发明内容Summary of the invention
本申请实施例通过提供面向电网需求的储能系统辅助服务电力电量计算模型构建方法，解决了现有技术中，不能有效提高构建储能系统辅助服务电力电量计算模型的准确性的问题，实现了有效提高构建储能系统辅助服务电力电量计算模型的准确性的效果。The embodiment of the present application solves the problem in the prior art that the accuracy of constructing an auxiliary service power and electricity calculation model for an energy storage system cannot be effectively improved by providing a method for constructing an auxiliary service power and electricity calculation model for an energy storage system oriented to power grid demand, thereby achieving the effect of effectively improving the accuracy of constructing an auxiliary service power and electricity calculation model for an energy storage system.
本申请实施例提供了面向电网需求的储能系统辅助服务电力电量计算模型构建方法，包括以下步骤：将储能系统电力电量区域划分若干个，对储能系统电力电量区域历史数据进行分类；分别构建若干个储能系统电力电量区域对应的区域储能系统电力电量评估模型，通过区域储能系统电力电量评估模型分别评估得到对应的区域储能系统电力电量评估数据；通过预定义区域电力电量模型分析得到预定义储能系统电力电量计算模型；根据区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型修正，得到储能系统电力电量计算模型。The embodiment of the present application provides a method for constructing an energy storage system auxiliary service power and electricity calculation model oriented to power grid demand, comprising the following steps: dividing the energy storage system power and electricity areas into several areas, and classifying the historical data of the energy storage system power and electricity areas; respectively constructing regional energy storage system power and electricity evaluation models corresponding to several energy storage system power and electricity areas, and respectively evaluating and obtaining the corresponding regional energy storage system power and electricity evaluation data through the regional energy storage system power and electricity evaluation models; obtaining a predefined energy storage system power and electricity calculation model through predefined regional power and electricity model analysis; and correcting the predefined energy storage system power and electricity calculation model according to the regional energy storage system power and electricity evaluation data to obtain the energy storage system power and electricity calculation model.
进一步的，所述对储能系统电力电量区域历史数据进行分类，具体包括：对储能系统电力电量区域设置若干历史电力检测时间点，将储能系统电力电量区域历史数据进行分类；选择若干历史电力检测时间点中任意数量的历史电力检测时间点分类为一组，记为一个电力检测时间段。Furthermore, the classification of the historical data of the power and electricity area of the energy storage system specifically includes: setting a number of historical power detection time points for the power and electricity area of the energy storage system, and classifying the historical data of the power and electricity area of the energy storage system; selecting any number of historical power detection time points from the number of historical power detection time points and classifying them into a group, which is recorded as a power detection time period.
进一步的，所述区域储能系统电力电量评估模型包括：区域储能系统风电模型、区域储能系统光伏模型、区域储能系统水电模型和区域储能系统火电模型；所述将储能系统电力电量区域历史数据进行分类，得到储能系统风力数据、储能系统光伏数据、储能系统水电数据和储能系统火电数据；所述区域储能系统电力电量评估数据包括：风力发电修正评估系数、光伏发电修正评估系数、水力发电修正评估系数和火力发电修正评估系数。Furthermore, the regional energy storage system power and quantity evaluation model includes: a regional energy storage system wind power model, a regional energy storage system photovoltaic model, a regional energy storage system hydropower model and a regional energy storage system thermal power model; the regional historical data of power and quantity of the energy storage system is classified to obtain wind power data of the energy storage system, photovoltaic data of the energy storage system, hydropower data of the energy storage system and thermal power data of the energy storage system; the regional energy storage system power and quantity evaluation data includes: a wind power generation correction evaluation coefficient, a photovoltaic power generation correction evaluation coefficient, a hydropower generation correction evaluation coefficient and a thermal power generation correction evaluation coefficient.
进一步的，得到所述风力发电修正评估系数，具体包括：统计提取储能系统风力数据中在实际面向电网需求的储能系统辅助服务中风力发电相关数据，分析得到风力发电修正评估系数，所述风力发电相关数据包括风力发电电力波峰数据值、风力发电电力波谷数据值、风力发电预定义波动标准值、风力发电对储能系统响应时间时长、风力发电有效风时数和风力发电预定义有效风时数允许最小值。Furthermore, the wind power generation correction evaluation coefficient is obtained, specifically including: statistically extracting wind power generation related data in the energy storage system wind data in the actual energy storage system auxiliary service for power grid demand, and analyzing to obtain the wind power generation correction evaluation coefficient, the wind power generation related data including wind power generation power peak data value, wind power generation power trough data value, wind power generation predefined fluctuation standard value, wind power generation response time to the energy storage system, wind power generation effective wind hours and wind power generation predefined effective wind hours allowable minimum value.
进一步的，得到所述光伏发电修正评估系数，具体包括：统计提取储能系统光伏数据中在实际面向电网需求的储能系统辅助服务中光伏发电相关数据，分析得到光伏发电修正评估系数，所述光伏发电相关数据包括光伏发电功率变化率、光伏发电预定义功率基础变化率、光伏发电光伏组件衰减率和光伏发电光伏组件平均故障率。Furthermore, the photovoltaic power generation correction evaluation coefficient is obtained, which specifically includes: statistically extracting photovoltaic power generation related data in the energy storage system photovoltaic data in the actual energy storage system auxiliary service for grid demand, and analyzing to obtain the photovoltaic power generation correction evaluation coefficient, the photovoltaic power generation related data includes photovoltaic power generation power change rate, photovoltaic power generation predefined power base change rate, photovoltaic power generation photovoltaic module attenuation rate and photovoltaic power generation photovoltaic module average failure rate.
进一步的，得到所述水力发电修正评估系数，具体包括：统计提取储能系统水力数据中在实际面向电网需求的储能系统辅助服务中水力发电相关数据，分析得到水力发电修正评估系数，所述水力发电相关数据包括水力发电平均容量上限、水力发电平均容量下限、水力发电预定义标准容量、水力发电最大发电功率、水力发电预定义标准发电功率、水力发电平均爬坡速率数据和水力发电平均爬坡调节时间间隔时长。Furthermore, the hydropower correction evaluation coefficient is obtained, specifically comprising: statistically extracting hydropower-related data in the energy storage system auxiliary services actually facing the grid demand from the energy storage system hydraulic data, and analyzing to obtain the hydropower correction evaluation coefficient, wherein the hydropower-related data include the upper limit of the average capacity of hydropower, the lower limit of the average capacity of hydropower, the predefined standard capacity of hydropower, the maximum power generation power of hydropower, the predefined standard power generation power of hydropower, the average climbing rate data of hydropower, and the duration of the average climbing adjustment time interval of hydropower.
进一步的，得到所述火力发电修正评估系数，具体包括：统计提取储能系统火力数据中在实际面向电网需求的储能系统辅助服务中火力发电相关数据，分析得到火力发电修正评估系数，所述火力发电相关数据包括火力发电响应速度最大值、火力发电爬坡功率最大值、火力发电机组平均发电容量和火力发电机组发电最小容量。Furthermore, the thermal power generation correction evaluation coefficient is obtained, which specifically includes: statistically extracting thermal power generation related data in the energy storage system auxiliary service actually facing the power grid demand from the thermal power data of the energy storage system, and analyzing to obtain the thermal power generation correction evaluation coefficient, wherein the thermal power generation related data include the maximum thermal power generation response speed, the maximum thermal power generation climbing power, the average power generation capacity of the thermal power generating set and the minimum power generation capacity of the thermal power generating set.
进一步的，所述通过预定义区域电力电量模型分析得到预定义储能系统电力电量计算模型，具体包括：通过预定义区域电力电量模型，得到预设区域电力电量数据，所述预设区域电力电量数据包括区域风力电力电量、区域光伏电力电量、区域水力电力电量及区域火力电力电量；将预设区域电力电量数据与实际对应的区域电力电量数据进行比对，获得区域电力电量数据实际差值；在电力检测时间段下通过时间序列分析算法对区域电力电量数据实际差值进行评估，得到在不同电力检测时间段下的区域电力电量数据预测差值；对在不同电力检测时间段下的区域电力电量数据预测差值进行计算，得到区域电力电量数据预测平均值；将所有预设区域电力电量数据与区域电力电量数据预测平均值相加，得到区域电力电量数据评估值；通过区域电力电量数据评估值，构建预定义储能系统电力电量计算模型。Furthermore, the predefined energy storage system power calculation model is obtained through the analysis of the predefined regional power model, specifically including: obtaining preset regional power data through the predefined regional power model, the preset regional power data including regional wind power, regional photovoltaic power, regional hydropower and regional thermal power; comparing the preset regional power data with the actual corresponding regional power data to obtain the actual difference in the regional power data; evaluating the actual difference in the regional power data through a time series analysis algorithm in the power detection time period to obtain the predicted difference in the regional power data in different power detection time periods; calculating the predicted difference in the regional power data in different power detection time periods to obtain the predicted average value of the regional power data; adding all the preset regional power data to the predicted average value of the regional power data to obtain the evaluated value of the regional power data; constructing the predefined energy storage system power calculation model through the evaluated value of the regional power data.
进一步的，所述得到储能系统电力电量计算模型通过区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型中对应的电力类型进行修正得到；其具体计算公式如下所示：；式中，/>表示储能系统电力电量，/>表示风力发电电量，/>表示光伏发电电量，/>表示水力发电电量，/>表示火力发电电量，/>表示负荷用电电量，/>表示风力发电修正评估系数，表示光伏发电修正评估系数，/>表示水力发电修正评估系数，/>表示火力发电修正评估系数，/>表示风力发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子。Furthermore, the energy storage system power calculation model is obtained by correcting the corresponding power type in the predefined energy storage system power calculation model through the regional energy storage system power evaluation data; the specific calculation formula is as follows: ; In the formula, /> Indicates the power of the energy storage system, /> Indicates the amount of wind power generated, /> Represents photovoltaic power generation,/> Indicates the amount of hydroelectric power generated, /> Indicates the amount of thermal power generation, /> Indicates the load power consumption, /> represents the wind power generation correction assessment coefficient, Represents the photovoltaic power generation correction evaluation coefficient,/> represents the hydroelectric power correction assessment coefficient,/> Indicates the thermal power generation correction evaluation coefficient, /> Indicates the weight factor of wind power generation corresponding to the energy storage system power,/> Indicates the weight factor of photovoltaic power generation corresponding to the power of energy storage system,/> Indicates the weight factor of photovoltaic power generation corresponding to the power of energy storage system,/> The weight factor representing the photovoltaic power generation corresponding to the energy storage system power.
本申请实施例中提供的一个或多个技术方案，至少具有如下技术效果或优点：One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1、通过对储能系统电力电量区域划分，分别构建若干个储能系统电力电量区域对应的区域储能系统电力电量评估模型得到区域储能系统电力电量评估数据并对预定义储能系统电力电量计算模型修正，得到储能系统电力电量计算模型，达到了提高构建储能系统辅助服务电力电量计算模型的准确性的效果，解决了现有技术中存在不能有效提高构建储能系统辅助服务电力电量计算模型的准确性的问题。1. By dividing the energy storage system into power areas, constructing several regional energy storage system power evaluation models corresponding to the energy storage system power areas to obtain regional energy storage system power evaluation data and correcting the predefined energy storage system power calculation model to obtain the energy storage system power calculation model, the accuracy of constructing the energy storage system auxiliary service power calculation model is improved, and the problem that the existing technology cannot effectively improve the accuracy of constructing the energy storage system auxiliary service power calculation model is solved.
2、通过区域储能系统电力电量评估模型分别评估得到对应的区域储能系统电力电量评估数据，分别从风力、光伏数据、水电和火电方面评估，可以更准确地预测不同类型电源的发电量和储能需求，从而优化储能系统的运行和调度，不同类型的电源具有不同的发电特性和波动性，分类后的数据有助于开发针对性的预测模型，进而实现了提高得到区域储能系统电力电量评估数据的全面性。2. The corresponding regional energy storage system power and quantity assessment data are obtained through the regional energy storage system power and quantity assessment model. The evaluation from the aspects of wind power, photovoltaic data, hydropower and thermal power can more accurately predict the power generation and energy storage demand of different types of power sources, thereby optimizing the operation and scheduling of the energy storage system. Different types of power sources have different power generation characteristics and volatility. The classified data is helpful to develop targeted prediction models, thereby improving the comprehensiveness of the regional energy storage system power and quantity assessment data.
3、通过区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型修正，修正后的模型能够更准确地预测储能系统的电力和电量表现，有助于量化对储能系统电力电量量化分析，提高电力系统规划的精准性，从而使得到的储能系统电力电量计算模型更加精确地反映实际情况，进而实现了提高储能系统电力电量计算模型的科学性。3. The predefined energy storage system power and electricity calculation model is corrected through the regional energy storage system power and electricity evaluation data. The corrected model can more accurately predict the power and electricity performance of the energy storage system, help to quantify the power and electricity analysis of the energy storage system, and improve the accuracy of power system planning, so that the energy storage system power and electricity calculation model obtained can more accurately reflect the actual situation, thereby improving the scientific nature of the energy storage system power and electricity calculation model.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本申请实施例提供的面向电网需求的储能系统辅助服务电力电量计算模型构建方法流程图；FIG1 is a flow chart of a method for constructing an energy storage system auxiliary service power calculation model for grid demand provided in an embodiment of the present application;
图2为本申请实施例提供的区域储能系统电力电量评估模型的结构示意图；FIG2 is a schematic diagram of the structure of a regional energy storage system power evaluation model provided in an embodiment of the present application;
图3为本申请实施例提供的面向电网需求区域储能系统电力电量评估数据的结构示意图。FIG3 is a schematic diagram of the structure of power and quantity evaluation data for a power grid demand area energy storage system provided in an embodiment of the present application.
具体实施方式Detailed ways
本申请实施例通过提供面向电网需求的储能系统辅助服务电力电量计算模型构建方法，解决了现有技术中，存在不能有效提高构建储能系统辅助服务电力电量计算模型的准确性的问题，通过区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型修正，实现了提高构建储能系统辅助服务电力电量计算模型的准确性的效果。The embodiment of the present application solves the problem in the prior art that the accuracy of constructing an auxiliary service power and electricity calculation model for an energy storage system cannot be effectively improved by providing a method for constructing an auxiliary service power and electricity calculation model for an energy storage system oriented to power grid demand. The predefined energy storage system power and electricity calculation model is corrected by using regional energy storage system power and electricity evaluation data, thereby achieving the effect of improving the accuracy of constructing an auxiliary service power and electricity calculation model for an energy storage system.
本申请实施例中的技术方案为解决上述，存在不能有效提高构建储能系统辅助服务电力电量计算模型的准确性的问题，总体思路如下：The technical solution in the embodiment of the present application is to solve the above problem that the accuracy of the auxiliary service power calculation model of the energy storage system cannot be effectively improved. The overall idea is as follows:
通过对储能系统电力电量区域划分，构建区域储能系统电力电量评估模型得到区域储能系统电力电量评估数据并对预定义储能系统电力电量计算模型修正，得到储能系统电力电量计算模型，达到了提高构建储能系统辅助服务电力电量计算模型的准确性的效果。By dividing the power storage system into regional areas, constructing a regional energy storage system power evaluation model to obtain regional energy storage system power evaluation data and correcting the predefined energy storage system power calculation model, the energy storage system power calculation model is obtained, thereby achieving the effect of improving the accuracy of constructing the energy storage system auxiliary service power calculation model.
为了更好的理解上述技术方案，下面将结合说明书附图以及具体的实施方式对上述技术方案进行详细的说明。In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
如图1所示，为本申请实施例提供的面向电网需求的储能系统辅助服务电力电量计算模型构建方法流程图，该方法包括以下步骤：将储能系统电力电量区域划分，将储能系统电力电量区域划分若干个，对储能系统电力电量区域历史数据进行分类；评估得到对应的区域储能系统电力电量评估数据，分别构建若干个储能系统电力电量区域对应的区域储能系统电力电量评估模型，通过区域储能系统电力电量评估模型分别评估得到对应的区域储能系统电力电量评估数据；得到预定义储能系统电力电量计算模型，通过预定义区域电力电量模型分析得到预定义储能系统电力电量计算模型；对预定义储能系统电力电量计算模型修正，根据区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型修正，得到储能系统电力电量计算模型。As shown in Figure 1, a flow chart of a method for constructing an energy storage system auxiliary service power and electricity calculation model for power grid demand provided in an embodiment of the present application is provided, and the method includes the following steps: dividing the energy storage system power and electricity areas, dividing the energy storage system power and electricity areas into several areas, and classifying the historical data of the energy storage system power and electricity areas; evaluating and obtaining the corresponding regional energy storage system power and electricity evaluation data, respectively constructing regional energy storage system power and electricity evaluation models corresponding to several energy storage system power and electricity areas, and respectively evaluating and obtaining the corresponding regional energy storage system power and electricity evaluation data through the regional energy storage system power and electricity evaluation models; obtaining a predefined energy storage system power and electricity calculation model, and obtaining the predefined energy storage system power and electricity calculation model through the predefined regional power and electricity model analysis; correcting the predefined energy storage system power and electricity calculation model, and correcting the predefined energy storage system power and electricity calculation model according to the regional energy storage system power and electricity evaluation data to obtain the energy storage system power and electricity calculation model.
进一步的，对储能系统电力电量区域历史数据进行分类，具体包括：将储能系统电力电量区域依次编号，，/>表示储能系统电力电量区域的编号，/>表示储能系统电力电量区域的编号总数；对储能系统电力电量区域设置若干历史电力检测时间点，将储能系统电力电量区域历史数据分类为储能系统风力数据、储能系统光伏数据、储能系统水电数据和储能系统火电数据，选择若干历史电力检测时间点中任意数量的历史电力检测时间点分类为一组，记为一个电力检测时间段；将若干电力检测时间段依次编号，，/>表示电力检测时间段的编号，/>表示电力检测时间段的编号总数。Furthermore, the historical data of the power and electricity area of the energy storage system is classified, specifically including: numbering the power and electricity areas of the energy storage system in sequence, ,/> Indicates the number of the power area of the energy storage system, /> Indicates the total number of numbers of the power and electricity area of the energy storage system; sets a number of historical power detection time points for the power and electricity area of the energy storage system, classifies the historical data of the power and electricity area of the energy storage system into wind power data of the energy storage system, photovoltaic data of the energy storage system, hydropower data of the energy storage system and thermal power data of the energy storage system, selects any number of historical power detection time points from a number of historical power detection time points and classifies them into a group, which is recorded as a power detection time period; and numbers the several power detection time periods in sequence, ,/> Indicates the number of the power detection time period, /> Indicates the total number of power detection time periods.
在本实施例中，通过对不同类型能源的数据进行分类，可以更准确地预测储能系统的电力需求和供应，从而优化能源管理和调度；增强系统调度灵活性，了解各类能源的发电特性和波动性，有助于调度人员更加灵活地安排电力系统的运行，特别是在可再生能源出力波动大时，可以通过储能系统进行有效调节。In this embodiment, by classifying data on different types of energy, the power demand and supply of the energy storage system can be predicted more accurately, thereby optimizing energy management and scheduling; enhancing the flexibility of system scheduling and understanding the power generation characteristics and volatility of various types of energy will help dispatchers to arrange the operation of the power system more flexibly, especially when the output of renewable energy fluctuates greatly, which can be effectively adjusted through the energy storage system.
进一步的，区域储能系统电力电量评估模型包括：区域储能系统风电模型、区域储能系统光伏模型、区域储能系统水电模型和区域储能系统火电模型；区域储能系统电力电量评估数据包括：风力发电修正评估系数、光伏发电修正评估系数、水力发电修正评估系数和火力发电修正评估系数。Furthermore, the regional energy storage system power and quantity assessment model includes: regional energy storage system wind power model, regional energy storage system photovoltaic model, regional energy storage system hydropower model and regional energy storage system thermal power model; the regional energy storage system power and quantity assessment data includes: wind power generation correction assessment coefficient, photovoltaic power generation correction assessment coefficient, hydropower generation correction assessment coefficient and thermal power generation correction assessment coefficient.
在本实施例中，如图2所示，为本申请实施例提供的区域储能系统电力电量评估模型的结构示意图；如图3所示，为本申请实施例提供的面向电网需求区域储能系统电力电量评估数据的结构示意图。In this embodiment, as shown in FIG. 2 , there is a schematic diagram of the structure of the regional energy storage system power and quantity evaluation model provided in the embodiment of the present application; as shown in FIG. 3 , there is a schematic diagram of the structure of the regional energy storage system power and quantity evaluation data oriented to the grid demand provided in the embodiment of the present application.
进一步的，通过区域储能系统电力电量评估模型分别评估得到对应的区域储能系统电力电量评估数据的具体分析过程为：根据储能系统风力数据通过区域储能系统风电模型评估，得到风力发电修正评估系数；根据储能系统光伏数据通过区域储能系统光伏模型评估，得到光伏发电修正评估系数；根据储能系统水力数据通过区域储能系统水电模型评估，得到水力发电修正评估系数；根据储能系统火力数据通过区域储能系统火电模型评估，得到火力发电修正评估系数。Furthermore, the specific analysis process of respectively evaluating the corresponding regional energy storage system power and electricity evaluation data through the regional energy storage system power and electricity evaluation model is as follows: evaluating the wind power data of the energy storage system through the regional energy storage system wind power model to obtain the wind power generation correction evaluation coefficient; evaluating the photovoltaic data of the energy storage system through the regional energy storage system photovoltaic model to obtain the photovoltaic power generation correction evaluation coefficient; evaluating the hydropower data of the energy storage system through the regional energy storage system hydropower model to obtain the hydropower generation correction evaluation coefficient; evaluating the thermal power data of the energy storage system through the regional energy storage system thermal power model to obtain the thermal power generation correction evaluation coefficient.
进一步的，得到风力发电修正评估系数的具体分析过程为：统计提取储能系统风力数据中在实际面向电网需求的储能系统辅助服务中风力发电相关数据，包括：风力发电电力波峰数据值、风力发电电力波谷数据值、风力发电预定义波动标准值、风力发电对储能系统响应时间时长、风力发电有效风时数和风力发电预定义有效风时数允许最小值；由此分析得到风力发电修正评估系数。Furthermore, the specific analysis process for obtaining the wind power generation correction assessment coefficient is as follows: statistically extracting wind power generation related data in the energy storage system wind data in the actual energy storage system auxiliary service for grid demand, including: wind power generation power peak data value, wind power generation power trough data value, wind power generation predefined fluctuation standard value, wind power generation response time to the energy storage system, wind power generation effective wind hours and wind power generation predefined effective wind hours allowed minimum value; thereby analyzing and obtaining the wind power generation correction assessment coefficient.
在本实施例中，风力发电修正评估系数用于量化风力发电波动性对储能系统在辅助服务市场中作用的影响的系数，由此分析得到风力发电修正评估系数可以使用如下方式得到，包括但不限于：模拟软件，使用专业的风力资源评估软件，如WAsP(WesterwindAssessment of Wind Power)或Wind Farm Designer，这些软件可以根据地形、气候条件等因素计算出修正系数；文献综述，查阅相关的学术论文、技术规范和标准，这些文献中可能提供了在不同情况下得到的修正系数；同类项目比较，参考国内外类似项目的修正系数，通过比较分析，可以得到一个参考值。In this embodiment, the wind power generation correction assessment coefficient is a coefficient used to quantify the impact of wind power generation volatility on the role of the energy storage system in the ancillary service market. The wind power generation correction assessment coefficient obtained by analysis can be obtained using the following methods, including but not limited to: simulation software, using professional wind resource assessment software, such as WAsP (Westerwind Assessment of Wind Power) or Wind Farm Designer, which can calculate the correction coefficient based on factors such as terrain and climatic conditions; literature review, consulting relevant academic papers, technical specifications and standards, which may provide correction coefficients obtained under different circumstances; comparison of similar projects, referring to the correction coefficients of similar projects at home and abroad, and obtaining a reference value through comparative analysis.
也可使用公式分析得到，风力发电修正评估系数的具体分析公式如下：It can also be analyzed using formulas. The specific analysis formula for the wind power generation correction assessment coefficient is as follows:
； ;
式中，表示风力发电修正评估系数，用于评估面向电网需求的储能系统中风力发电的发电质量水平，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的风力发电电力波峰数据值，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的风力发电电力波谷数据值，/>表示风力发电预定义波动标准值，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的风力发电对储能系统响应时间时长，/>表示第/>个储能系统电力电量区域的风力发电有效风时数，/>表示第/>个储能系统电力电量区域的风力发电预定义有效风时数允许最小值。In the formula, Represents the wind power generation correction assessment coefficient, which is used to evaluate the power generation quality level of wind power in the energy storage system oriented to the grid demand./> Indicates the first/> Energy storage system power area No./> The peak data value of wind power generation in the power detection period,/> Indicates the first/> Energy storage system power area No./> The wind power generation power valley data value in the power detection time period,/> Indicates the predefined fluctuation standard value of wind power generation,/> Indicates the first/> Energy storage system power area No./> The length of time it takes for wind power generation to respond to the energy storage system during a power detection period,/> Indicates the first/> The effective wind hours of wind power generation in the energy storage system power area,/> Indicates the first/> The minimum allowed effective wind hours for wind power generation in each energy storage system power area are predefined.
风力发电的波动标准值是用于衡量风力发电机输出功率波动性的一个参数。在风力发电领域，通常用标准偏差来描述风力发电功率的波动程度，它反映了发电功率在一段时间内波动的大小。具体的波动标准值可能会因地区、风力发电机的类型以及应用的具体要求而有所不同。如果风电场波动太大，可能会对电网造成影响，这里采用的是划分的区域内过往风力发电数据的标准偏差。The standard value of wind power fluctuation is a parameter used to measure the fluctuation of wind turbine output power. In the field of wind power generation, the standard deviation is usually used to describe the degree of fluctuation of wind power generation, which reflects the magnitude of the fluctuation of power generation over a period of time. The specific standard value of fluctuation may vary depending on the region, the type of wind turbine and the specific requirements of the application. If the wind farm fluctuates too much, it may affect the power grid. The standard deviation of past wind power generation data in the divided area is used here.
风力发电的有效风时数是指在一定时间内，风力达到切入风速并且能够产生发电量的风时数。有效风时数是评估风力发电潜力的重要参数之一，它直接影响到风力发电站的发电量和经济效益；预定义的有效风时数允许最小值是指风力发电项目在设计和运营过程中，为了确保能够获得足够的发电量，规定的最小有效风时数。The effective wind hours for wind power generation refer to the number of wind hours within a certain period of time when the wind reaches the cut-in wind speed and can generate power. The effective wind hours are one of the important parameters for evaluating the potential of wind power generation, which directly affects the power generation and economic benefits of wind power stations; the predefined minimum allowable effective wind hours refer to the minimum effective wind hours specified in the design and operation of wind power projects to ensure sufficient power generation.
应理解的是，本实施例中面向电网需求的储能系统辅助服务中风力发电的修正评估分析通过对风力发电电力、响应时间和有效风时数进行分析，使得从储能系统的风力发电部分的质量进行评估，量化得到了风力发电的质量水平。It should be understood that the revised assessment analysis of wind power generation in the energy storage system auxiliary service for grid demand in this embodiment analyzes the wind power generation power, response time and effective wind hours, so as to evaluate the quality of the wind power generation part of the energy storage system and quantify the quality level of wind power generation.
进一步的，得到光伏发电修正评估系数的具体分析过程为：统计提取储能系统光伏数据中在实际面向电网需求的储能系统辅助服务中光伏发电相关数据，包括：光伏发电功率变化率、光伏发电预定义功率基础变化率、光伏发电光伏组件衰减率和光伏发电光伏组件平均故障率；由此分析得到光伏发电修正评估系数。Furthermore, the specific analysis process for obtaining the photovoltaic power generation correction assessment coefficient is as follows: statistically extract photovoltaic power generation related data in the energy storage system photovoltaic data in the actual energy storage system auxiliary service for grid demand, including: photovoltaic power generation power change rate, photovoltaic power generation predefined power base change rate, photovoltaic power generation photovoltaic module attenuation rate and photovoltaic power generation photovoltaic module average failure rate; thereby analyzing and obtaining the photovoltaic power generation correction assessment coefficient.
在本实施例中，光伏发电修正评估系数是一个用于量化光伏发电波动性对储能系统在辅助服务市场中作用的影响的系数，由此分析得到风力发电修正评估系数可以使用如下方式得到，包括但不限于：模拟和模型预测，使用先进的数值模拟和模型预测技术，如时间序列分析、机器学习、随机模型等，模拟光伏发电系统的运行特性，预测其对电网的影响；专家系统和经验法则，利用专家系统的知识和经验法则来评估光伏发电的波动性和影响，结合电网运行人员的经验和专业知识来确定修正评估系数；实地测试和示范项目，在实际的电网环境中进行测试和示范项目，评估光伏发电的实际影响；通过现场实验和实时监测来获取光伏发电的波动性数据。In this embodiment, the photovoltaic power generation correction assessment coefficient is a coefficient used to quantify the impact of the volatility of photovoltaic power generation on the role of the energy storage system in the ancillary service market. The wind power generation correction assessment coefficient obtained by analysis can be obtained using the following methods, including but not limited to: simulation and model prediction, using advanced numerical simulation and model prediction techniques, such as time series analysis, machine learning, stochastic models, etc., to simulate the operating characteristics of the photovoltaic power generation system and predict its impact on the power grid; expert system and empirical rules, using the knowledge and empirical rules of the expert system to evaluate the volatility and impact of photovoltaic power generation, and combining the experience and professional knowledge of the power grid operators to determine the correction assessment coefficient; field testing and demonstration projects, conducting tests and demonstration projects in actual power grid environments to evaluate the actual impact of photovoltaic power generation; obtaining photovoltaic power generation volatility data through field experiments and real-time monitoring.
也可使用公式分析得到，光伏发电修正评估系数的具体分析公式如下：It can also be analyzed using formulas. The specific analysis formula for the photovoltaic power generation correction assessment coefficient is as follows:
； ;
式中，表示光伏发电修正评估系数，用于评估面向电网需求的储能系统中光伏发电的发电质量水平，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的光伏发电功率变化率，/>表示光伏发电预定义功率基础变化率，/>表示光伏发电光伏组件衰减率，/>表示第/>个储能系统电力电量区域的光伏发电光伏组件平均故障率。In the formula, Represents the photovoltaic power generation correction assessment coefficient, which is used to evaluate the power generation quality level of photovoltaic power generation in the energy storage system oriented to the grid demand./> Indicates the first/> Energy storage system power area No./> The photovoltaic power generation power change rate in each power detection period,/> Indicates the predefined power base change rate of photovoltaic power generation,/> Indicates the attenuation rate of photovoltaic power generation photovoltaic components,/> Indicates the first/> The average failure rate of photovoltaic panels in the power storage system area.
第个储能系统电力电量区域第/>个电力检测时间段的光伏发电功率变化率表示在第/>个电力检测时间段内的光伏发电功率输出最大值与光伏发电功率输出最小值的差值在与第/>个电力检测时间段的时长的比值；光伏发电预定义功率基础变化率表示在标准温度标准光照条件下，光伏正常工作时的光伏发电功率变化率，标准温度标准光照条件表示温度时25度，光照强度时光伏正常工作时的标准光照强度。No. Energy storage system power area No./> The photovoltaic power generation rate change rate in the power detection time period is expressed in the first/> The difference between the maximum photovoltaic power output and the minimum photovoltaic power output in the power detection time period is in the same as the / > The ratio of the duration of the power detection time period; the predefined basic power change rate of photovoltaic power generation represents the photovoltaic power change rate when the photovoltaic power generation is working normally under standard temperature and standard light conditions. The standard temperature and standard light conditions represent that the temperature is 25 degrees and the light intensity is the standard light intensity when the photovoltaic power generation is working normally.
应理解的是，本实施例中面向电网需求的储能系统辅助服务中光伏发电的修正评估分析通过对光伏发电功率变化率、光伏发电光伏组件衰减率和光伏发电光伏组件平均故障率，使得从储能系统的光伏发电部分的质量进行评估，量化得到了光伏发电的质量水平。It should be understood that the revised assessment analysis of photovoltaic power generation in the energy storage system auxiliary service for grid demand in this embodiment evaluates the quality of the photovoltaic power generation part of the energy storage system by measuring the photovoltaic power change rate, the photovoltaic power generation photovoltaic module attenuation rate and the photovoltaic power generation photovoltaic module average failure rate, and quantifies the quality level of photovoltaic power generation.
进一步的，得到水力发电修正评估系数的具体分析过程为：统计提取储能系统水力数据中在实际面向电网需求的储能系统辅助服务中水力发电相关数据，包括：水力发电平均容量上限、水力发电平均容量下限、水力发电预定义标准容量、水力发电最大发电功率、水力发电预定义标准发电功率、水力发电平均爬坡速率数据和水力发电平均爬坡调节时间间隔时长；由此分析得到水力发电修正评估系数。Furthermore, the specific analysis process for obtaining the hydropower correction assessment coefficient is as follows: statistically extracting hydropower-related data in the energy storage system's hydraulic data in the actual energy storage system auxiliary services for grid demand, including: the upper limit of the average capacity of hydropower, the lower limit of the average capacity of hydropower, the predefined standard capacity of hydropower, the maximum power generation of hydropower, the predefined standard power generation of hydropower, the average ramp rate data of hydropower and the duration of the average ramp adjustment time interval of hydropower; thereby analyzing and obtaining the hydropower correction assessment coefficient.
在本实施例中，水力发电修正评估系数是一个用于量化水力发电波动性对储能系统在辅助服务市场中作用的影响的系数，由此分析得到水力发电修正评估系数可以使用如下方式得到，包括但不限于：理论计算与实际数据对比，根据水力发电站的designparameters（如水库容量、水轮机型号等）进行理论发电量的计算，然后与实际发电量进行对比，通过调整修正评估系数使两者更接近；现场测试与调整，在现场条件下，通过对发电站的实际测试和调整，来确定修正评估系数。In this embodiment, the hydroelectric power generation correction assessment coefficient is a coefficient used to quantify the impact of hydroelectric power generation volatility on the role of the energy storage system in the ancillary service market. The hydroelectric power generation correction assessment coefficient obtained by analysis can be obtained in the following ways, including but not limited to: comparison of theoretical calculations with actual data, calculating the theoretical power generation according to the design parameters of the hydroelectric power station (such as reservoir capacity, turbine model, etc.), and then comparing it with the actual power generation, and adjusting the correction assessment coefficient to make the two closer; on-site testing and adjustment, under on-site conditions, the correction assessment coefficient is determined through actual testing and adjustment of the power station.
也可使用公式分析得到，水力发电修正评估系数的具体分析公式如下：It can also be analyzed using the formula. The specific analysis formula for the hydropower correction assessment coefficient is as follows:
； ;
式中，表示水力发电修正评估系数，用于评估面向电网需求的储能系统中水力发电的发电质量水平，/>表示第/>个储能系统电力电量区域的水力发电平均容量上限，表示第/>个储能系统电力电量区域的水力发电平均容量下限，/>表示第/>个储能系统电力电量区域的水力发电预定义标准容量，/>表示第/>个储能系统电力电量区域的水力发电最大发电功率，/>表示第/>个储能系统电力电量区域的水力发电预定义标准发电功率，/>表示第/>个储能系统电力电量区域的水力发电平均爬坡速率数据，/>表示第/>个储能系统电力电量区域的水力发电平均爬坡调节时间间隔时长。In the formula, Represents the hydropower generation correction assessment coefficient, which is used to assess the power generation quality level of hydropower in the energy storage system for grid demand./> Indicates the first/> The upper limit of the average hydropower capacity in the energy storage system power area, Indicates the first/> The lower limit of the average hydropower capacity in the energy storage system power area,/> Indicates the first/> The predefined standard capacity of hydroelectric power generation in the energy storage system power area,/> Indicates the first/> The maximum hydroelectric power generation capacity in the energy storage system power area,/> Indicates the first/> The predefined standard power generation capacity of hydroelectric power in the energy storage system power area,/> Indicates the first/> The average ramp rate data of hydropower generation in the energy storage system power area,/> Indicates the first/> The average ramp-up regulation time interval of hydropower generation in the power generation area of the energy storage system.
第个储能系统电力电量区域的水力发电预定义标准容量表示对于第/>个储能系统电力电量区域内一个或多个水力发电的水库的平均标准容量，第/>个储能系统电力电量区域的水力发电预定义标准发电功率表示对于第/>个储能系统电力电量区域内一个或多个水力发电机组的平均额定输出功率；水力发电平均爬坡调节时间间隔时长表示每两次爬坡速率调节之间的时间间隔时长。No. The predefined standard capacity of hydroelectric power generation in the energy storage system power area represents the value of the first/> The average standard capacity of one or more hydroelectric reservoirs in the energy storage system power area, the first/> The predefined standard power generation capacity of hydroelectric power generation in the energy storage system power area is expressed for the first/> The average rated output power of one or more hydroelectric generating units in the power and electricity area of a storage system; the average ramp adjustment time interval of hydroelectric power generation refers to the time interval between each two ramp rate adjustments.
应理解的是，本实施例中面向电网需求的储能系统辅助服务中水力发电的修正评估分析通过对水力发电平均容量、水力发电功率、水力发电平均爬坡速率和水力发电平均爬坡调节时间，使得从储能系统的水力发电部分的质量进行评估，量化得到了水力发电的质量水平。It should be understood that the revised assessment analysis of hydropower generation in the auxiliary service of the energy storage system for grid demand in this embodiment evaluates the quality of the hydropower generation part of the energy storage system by means of the average hydropower generation capacity, hydropower generation power, average hydropower generation ramp rate and average hydropower generation ramp adjustment time, thereby quantifying the quality level of the hydropower generation.
进一步的，火力发电修正评估系数的具体分析过程为：统计提取储能系统火力数据中在实际面向电网需求的储能系统辅助服务中火力发电相关数据，包括：火力发电响应速度最大值、火力发电爬坡功率最大值、火力发电机组平均发电容量和火力发电机组发电最小容量；由此分析得到火力发电修正评估系数。Furthermore, the specific analysis process of the thermal power generation correction evaluation coefficient is as follows: statistically extracting thermal power generation related data in the thermal power data of the energy storage system in the actual energy storage system auxiliary service for the power grid demand, including: the maximum thermal power generation response speed, the maximum thermal power generation climbing power, the average power generation capacity of the thermal power generating set and the minimum power generation capacity of the thermal power generating set; thereby analyzing and obtaining the thermal power generation correction evaluation coefficient.
在本实施例中，火力发电修正评估系数是一个用于量化火力发电波动性对储能系统在辅助服务市场中作用的影响的系数，由此分析得到火力发电修正评估系数可以使用如下方式得到，包括但不限于：波动性量化分析：通过统计学方法对火力发电的波动性进行量化，包括计算发电量的标准差、方差等，以及分析负荷波动的特性；储能系统性能评估：评估储能系统的响应速度、能量密度、循环寿命等性能参数，以确定其在辅助服务市场中的潜在作用。In this embodiment, the thermal power generation correction assessment coefficient is a coefficient used to quantify the impact of thermal power generation volatility on the role of the energy storage system in the ancillary service market. The thermal power generation correction assessment coefficient obtained by analysis can be obtained using the following methods, including but not limited to: Volatility quantification analysis: quantifying the volatility of thermal power generation through statistical methods, including calculating the standard deviation and variance of power generation, and analyzing the characteristics of load fluctuations; Energy storage system performance evaluation: evaluating the performance parameters of the energy storage system, such as response speed, energy density, and cycle life, to determine its potential role in the ancillary service market.
火力发电修正评估系数的具体分析公式如下：The specific analysis formula of the thermal power generation correction evaluation coefficient is as follows:
； ;
式中，表示火力发电修正评估系数，用于评估面向电网需求的储能系统中火力发电的发电质量水平，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的火力发电响应速度最大值，/>表示第/>个储能系统电力电量区域第/>个电力检测时间段的火力发电爬坡功率最大值，/>表示第/>个储能系统电力电量区域的火力发电机组平均发电容量，/>表示第/>个储能系统电力电量区域的火力发电机组发电最小容量，表示自然常数。In the formula, Represents the thermal power generation correction assessment coefficient, which is used to evaluate the power generation quality level of thermal power generation in the energy storage system oriented to the grid demand./> Indicates the first/> Energy storage system power area No./> The maximum value of the thermal power generation response speed in the power detection time period, /> Indicates the first/> Energy storage system power area No./> The maximum value of thermal power generation ramp power in the power detection period,/> Indicates the first/> The average power generation capacity of thermal power generating units in the energy storage system power area,/> Indicates the first/> The minimum power generation capacity of the thermal power generating units in the power area of the energy storage system, Represents a natural constant.
应理解的是，本实施例中面向电网需求的储能系统辅助服务中火力发电的修正评估分析通过对火力发电响应速度、火力发电爬坡功率和火力发电机组发电容量，使得从储能系统的火力发电部分的质量进行评估，量化得到了火力发电的质量水平。It should be understood that the revised assessment analysis of thermal power generation in the auxiliary service of the energy storage system for grid demand in this embodiment evaluates the quality of the thermal power generation part of the energy storage system by measuring the thermal power generation response speed, thermal power generation climbing power and thermal power generation capacity of the thermal power generating units, and quantifies the quality level of thermal power generation.
进一步的，通过预定义区域电力电量模型分析得到预定义储能系统电力电量计算模型，具体包括：通过预定义区域电力电量模型，得到预设区域电力电量数据，预设区域电力电量数据包括区域风力电力电量、区域光伏电力电量、区域水力电力电量及区域火力电力电量；将预设区域电力电量数据与实际对应的区域电力电量数据进行比对，获得区域电力电量数据实际差值；在电力检测时间段下通过时间序列分析算法对区域电力电量数据实际差值进行评估，得到在不同电力检测时间段下的区域电力电量数据预测差值；对在不同电力检测时间段下的区域电力电量数据预测差值进行计算，得到区域电力电量数据预测平均值；将所有预设区域电力电量数据与区域电力电量数据预测平均值相加，得到区域电力电量数据评估值；通过区域电力电量数据评估值，构建预定义储能系统电力电量计算模型。Furthermore, a predefined energy storage system power calculation model is obtained through analysis of a predefined regional power model, specifically including: obtaining preset regional power data through a predefined regional power model, the preset regional power data including regional wind power, regional photovoltaic power, regional hydropower and regional thermal power; comparing the preset regional power data with the actual corresponding regional power data to obtain the actual difference in the regional power data; evaluating the actual difference in the regional power data through a time series analysis algorithm in a power detection time period to obtain the predicted difference in the regional power data in different power detection time periods; calculating the predicted difference in the regional power data in different power detection time periods to obtain the predicted average value of the regional power data; adding all the preset regional power data to the predicted average value of the regional power data to obtain the evaluated value of the regional power data; constructing a predefined energy storage system power calculation model through the evaluated value of the regional power data.
在本实施例中，预定义区域风力电力电量模型、预定义区域光伏电力电量模型、预定义区域水力电力电量模型和预定义区域火力电力电量模型均已有很多经典模型，此处只做列举说明，预定义区域风力电力电量模型：风电的发电量通常与风速的三次方成正比，获取风电发电量、风电机的几何特性相关的常数和实际风速计算得到风电的区域风力电力电量，预定义区域光伏电力电量模型：光伏发电量与光照强度和安装面积有关，获取光伏发电量、光照强度、光伏板面积和光伏板的转换效率计算得到风电的区域光伏电力电量，预定义区域水力电力电量模型：水电的发电量主要取决于水库的储量和供水能力，获取水电发电量、单位储量的发电量、当前水库容量和水库的最大容量计算得到区域水力电力电量，预定义区域火力电力电量模型：火电的发电量与燃料消耗量和效率有关，获取火电发电量、燃料消耗量、燃料的热值和火电转换效率计算得到区域火力电力电量。In this embodiment, there are many classic models for the predefined regional wind power model, the predefined regional photovoltaic power model, the predefined regional hydropower model and the predefined regional thermal power model, which are only listed here for explanation. The predefined regional wind power model: the wind power generation is usually proportional to the cube of the wind speed. The wind power generation, constants related to the geometric characteristics of the wind turbine and the actual wind speed are obtained to calculate the regional wind power of the wind power. The predefined regional photovoltaic power model: the photovoltaic power generation is related to the light intensity and the installation area. The light intensity is obtained. The regional photovoltaic power of wind power is calculated by voltaic power generation, light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency. The regional hydropower power model is predefined: the power generation of hydropower mainly depends on the storage and water supply capacity of the reservoir. The hydropower power generation, power generation per unit storage, current reservoir capacity and maximum reservoir capacity are obtained to calculate the regional hydropower power. The regional thermal power model is predefined: the power generation of thermal power is related to fuel consumption and efficiency. The thermal power generation, fuel consumption, calorific value of fuel and thermal power conversion efficiency are obtained to calculate the regional thermal power.
进一步的，得到储能系统电力电量计算模型的具体得到过程为：根据区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型中对应的电力类型进行修正；储能系统电力电量计算模型的具体计算公式如下所示：；式中，/>表示储能系统电力电量，/>表示风力发电电量，/>表示光伏发电电量，/>表示水力发电电量，表示火力发电电量，/>表示负荷用电电量，/>表示风力发电修正评估系数，/>表示光伏发电修正评估系数，/>表示水力发电修正评估系数，/>表示火力发电修正评估系数，表示风力发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子，/>表示光伏发电电量对应储能系统电力电量的权重因子。Furthermore, the specific process of obtaining the energy storage system power calculation model is as follows: according to the regional energy storage system power evaluation data, the corresponding power type in the predefined energy storage system power calculation model is corrected; the specific calculation formula of the energy storage system power calculation model is as follows: ; In the formula, /> Indicates the power of the energy storage system, /> Indicates the amount of wind power generated, /> Represents photovoltaic power generation,/> Represents the amount of hydroelectric power generated. Indicates the amount of thermal power generation, /> Indicates the load power consumption, /> represents the wind power generation correction evaluation coefficient, /> Represents the photovoltaic power generation correction evaluation coefficient,/> represents the hydroelectric power correction assessment coefficient,/> represents the thermal power generation correction assessment coefficient, Indicates the weight factor of wind power generation corresponding to the energy storage system power,/> Indicates the weight factor of photovoltaic power generation corresponding to the power of energy storage system,/> Indicates the weight factor of photovoltaic power generation corresponding to the power of energy storage system,/> The weight factor representing the photovoltaic power generation corresponding to the energy storage system power.
在本实施例中，综合产品质量特征系数还可以通过以下方式得到，包括但不限于：仿真模型，使用专业的仿真软件，如Powersystems,PSLF,DIgSILENT PowerFactory等，建立储能系统的仿真模型，通过对不同运行工况的模拟，可以得到电力电量的计算模型；实验测试，在实验室或现场条件下，对储能系统进行不同工况的实验测试，通过实验数据反推计算模型；人工智能方法，如使用机器学习中的神经网络，支持向量机等算法，通过对大量样本数据的训练，建立电力电量的预测模型。In this embodiment, the comprehensive product quality characteristic coefficient can also be obtained by the following methods, including but not limited to: simulation model, using professional simulation software, such as Powersystems, PSLF, DIgSILENT PowerFactory, etc., to establish a simulation model of the energy storage system, and by simulating different operating conditions, a calculation model of electric power can be obtained; experimental testing, in laboratory or field conditions, experimental testing of the energy storage system under different operating conditions, and inferring the calculation model through experimental data; artificial intelligence methods, such as using neural networks in machine learning, support vector machines and other algorithms, through training on a large amount of sample data, to establish a prediction model for electric power.
应理解的是，本实施例中得到储能系统电力电量是通过对风力发电电量、光伏发电电量、水力发电电量和火力发电电量的修正得到，风力发电修正评估系数、光伏发电修正评估系数、水力发电修正评估系数、火力发电修正评估系数均对对应的电力方面评估修正，电网需求是多样化的，不同时间、不同地点的电网需求可能会有很大差异，修正系数可以根据实时的电网需求和发电资源的实际情况进行调整，可以降低这种不确定性对电网的影响，提高预测可靠性。It should be understood that the power of the energy storage system in this embodiment is obtained by correcting the wind power generation, photovoltaic power generation, hydropower generation and thermal power generation. The wind power generation correction evaluation coefficient, photovoltaic power generation correction evaluation coefficient, hydropower generation correction evaluation coefficient and thermal power generation correction evaluation coefficient are all corrections to the corresponding power assessment. The grid demand is diverse, and the grid demand at different times and locations may vary greatly. The correction coefficient can be adjusted according to the real-time grid demand and the actual situation of power generation resources, which can reduce the impact of this uncertainty on the grid and improve the prediction reliability.
上述本申请实施例中的技术方案，至少具有如下的技术效果或优点：相对于公开号为：CN113569405A的发明专利公开的一种考虑多重分时电价的储能调度效益潜力评估方法及设备，本申请实施例通过区域储能系统电力电量评估模型分别评估得到对应的区域储能系统电力电量评估数据，分别从风力、光伏数据、水电和火电方面评估，可以更准确地预测不同类型电源的发电量和储能需求，从而优化储能系统的运行和调度，进而实现了提高得到区域储能系统电力电量评估数据的全面性；相对于公开号为：CN116316740B的发明专利公告的一种考虑新能源影响的储能代替火电容量效率计算方法，本申请实施例通过区域储能系统电力电量评估数据对预定义储能系统电力电量计算模型修正，修正后的模型能够更准确地预测储能系统的电力和电量表现，有助于量化提高电力系统规划的精准性，从而使得到的储能系统电力电量计算模型更加精确地反映实际情况，进而实现了提高储能系统电力电量计算模型的科学性。The technical solution in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: relative to the invention patent with publication number: CN113569405A, which discloses a method and device for evaluating the potential of energy storage scheduling benefits considering multiple time-of-use electricity prices, the embodiment of the present application evaluates the corresponding regional energy storage system power and electricity evaluation data through the regional energy storage system power and electricity evaluation model, and evaluates from the aspects of wind power, photovoltaic data, hydropower and thermal power respectively, which can more accurately predict the power generation and energy storage demand of different types of power sources, thereby optimizing the operation and scheduling of the energy storage system, thereby achieving the improvement of the comprehensiveness of the regional energy storage system power and electricity evaluation data; relative to the invention patent announcement with publication number: CN116316740B, which discloses a method for calculating the efficiency of energy storage replacing thermal power capacity considering the impact of new energy, the embodiment of the present application corrects the predefined energy storage system power and electricity calculation model through the regional energy storage system power and electricity evaluation data, and the corrected model can more accurately predict the power and electricity performance of the energy storage system, which helps to quantitatively improve the accuracy of power system planning, so that the obtained energy storage system power and electricity calculation model more accurately reflects the actual situation, thereby achieving the improvement of the scientific nature of the energy storage system power and electricity calculation model.
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明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，本发明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。It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention 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.) containing computer-usable program code.
本发明是参照根据本发明实施例的方法、设备（系统）、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 present invention is described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
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 that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
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设备上，使得在计算机或其他可编程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 may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
尽管已描述了本发明的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例作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发明范围的所有变更和修改。Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
显然，本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若本发明的这些修改和变型属于本发明权利要求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
| Application Number | Priority Date | Filing Date | Title |
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| CN202410289349.5ACN117893109B (en) | 2024-03-14 | 2024-03-14 | Power grid demand-oriented energy storage system auxiliary service electric power and electric quantity calculation model construction method |
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| CN202410289349.5ACN117893109B (en) | 2024-03-14 | 2024-03-14 | Power grid demand-oriented energy storage system auxiliary service electric power and electric quantity calculation model construction method |
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| CN117893109Atrue CN117893109A (en) | 2024-04-16 |
| CN117893109B CN117893109B (en) | 2024-06-21 |
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| CN202410289349.5AActiveCN117893109B (en) | 2024-03-14 | 2024-03-14 | Power grid demand-oriented energy storage system auxiliary service electric power and electric quantity calculation model construction method |
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