Disclosure of Invention
The invention provides a power balance method and a management system for cooperation of power system source network and charge storage, which are used for more effectively utilizing resources of power generation equipment and energy storage equipment, so that not only can energy waste be reduced, but also the resource utilization efficiency of the whole power system can be improved.
In a first aspect, the invention provides a power system source network load storage collaborative power balance method, which is applied to a power management system, wherein the power management system comprises a power dispatching platform, and power generation equipment, load equipment and energy storage equipment which are connected through a power network, and the method comprises the following steps:
The power dispatching platform broadcasts a power balance dispatching instruction to the power generation equipment, the load equipment and the energy storage equipment;
The power generation equipment responds to the power balance scheduling instruction, acquires a power generation characteristic parameter in a next preset measurement period, determines a predicted power generation amount according to the power generation characteristic parameter, and sends the predicted power generation amount to the power scheduling platform;
The power generation equipment responds to the power balance scheduling instruction, acquires the current actual stored electric quantity of the energy storage equipment, and sends the actual stored electric quantity to the power scheduling platform;
the load equipment responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform;
The power scheduling platform determines power balance scheduling parameters according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, wherein the power balance scheduling parameters comprise a power balance scheduling period and a power balance scheduling vector, and the balance scheduling vector is used for determining the power output direction and the power output amount of the power generation equipment and the energy storage equipment in the power balance scheduling period;
correspondingly, the method for obtaining the power generation characteristic parameters in the next preset measurement period and determining the predicted power generation amount according to the power generation characteristic parameters comprises the following steps:
The power generation equipment determines the predicted power generation amount according to the illumination characteristic parameters and the temperature characteristic parameters in the power generation characteristic parameters.
In the scheme, the power balance scheduling parameters can be rapidly calculated by acquiring the power generation characteristic parameters of the power generation equipment, the predicted power consumption of the load equipment and the current actual storage power of the energy storage equipment in real time, so that the power balance efficiency is improved. Then, by comprehensively considering data of three aspects of power generation, load and energy storage, more reasonable power balance scheduling parameters can be formulated, and the situation of unbalanced power supply and demand can be avoided, so that the stability of a power system is enhanced. And the power balance scheduling parameters are adjusted according to the real-time data, so that the resources of the power generation equipment and the energy storage equipment can be utilized more effectively. Not only can reduce energy waste, but also can improve the resource utilization efficiency of the whole power system. In addition, the power balance scheduling instruction is broadcast to the power generation equipment, the load equipment and the energy storage equipment through the power scheduling platform, so that cooperative control among the power generation equipment, the load equipment and the energy storage equipment is realized. The cooperative control is helpful to ensure that all links of the power system can work according to a preset plan, thereby improving the cooperative performance and consistency of the whole system.
It is worth to say that the generating capacity in the next preset measurement period can be predicted more accurately by comprehensively considering the generating characteristic parameters of the photovoltaic generating equipment, such as an illumination intensity curve, an environment temperature curve and an illumination angle curve. The power dispatching platform can formulate more reasonable power balance dispatching parameters according to the predicted power generation amount and the predicted power consumption of the load equipment and the actual storage power of the energy storage equipment, so that a dispatching strategy of photovoltaic power generation is optimized. Under the conditions of sufficient illumination, proper temperature and proper illumination angle, the photovoltaic power generation equipment can fully exert the power generation capacity of the photovoltaic power generation equipment, and more electric energy is provided for a power system. Under the unfavorable conditions of insufficient illumination or overhigh temperature and the like, the power dispatching platform can adjust the dispatching strategy in advance, and the invalid operation of the photovoltaic power generation equipment is reduced, so that the resource utilization rate is improved. By the scheme, accurate power generation amount prediction is realized, the power dispatching platform is helped to better master the fluctuation condition of photovoltaic power generation, a more stable power dispatching plan is formulated, and the stability of a power system is enhanced.
Optionally, the load device responds to the power balance scheduling instruction to obtain the predicted power consumption in the next preset measurement period, including:
And the load equipment determines the predicted power consumption in the next preset measurement period according to the power consumption in the current preset measurement period in the historical power consumption of the load equipment, the power consumption in the last preset measurement period and the predicted power consumption in the last preset measurement period.
Alternatively, the predicted power consumption in the next preset measurement period is obtained by the following formula,
Wherein,For the predicted power consumption in the next preset measurement period,The parameters are adjusted for a preset rate of change,For the power consumption in the current preset measurement period in the historical power consumption,For the power consumption in the last preset measurement period in the historical power consumption,The predicted power consumption is the last preset measurement period.
In the above scheme, by comprehensively considering the historical power consumption data of the load device, including the power consumption in the current preset measurement period, the power consumption in the last preset measurement period and the predicted power consumption in the last preset measurement period, the power consumption in the next preset measurement period can be predicted more accurately. The prediction mode based on the historical data fully utilizes the time sequence characteristic of the power consumption of the load equipment, and improves the accuracy and reliability of the prediction. The accurate power consumption prediction data provides an important decision basis for the power dispatching platform. The power dispatching platform can formulate more reasonable power balance dispatching parameters according to the predicted power consumption and by combining the predicted power generation capacity of the power generation equipment and the actual storage power of the energy storage equipment. The method is not only beneficial to balancing the supply-demand relation of the power system, but also can effectively reduce the occurrence of power shortage or surplus phenomenon and improve the overall operation efficiency of the power system. In addition, the load device can operate more stably based on accurate power consumption prediction. The power dispatching platform can adjust the running state of the load equipment in advance according to the prediction result, and equipment faults or damages caused by insufficient or excessive power supply are avoided. At the same time, this also helps to extend the service life of the load device, reducing maintenance and replacement costs.
Optionally, the power scheduling platform determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, including:
If the power scheduling platform determines that the characteristic ratio between the predicted power generation amount and the predicted power consumption is greater than or equal to a preset safety threshold, the power scheduling platform determines a first balanced scheduling vector and a second balanced scheduling vector according to the predicted power generation amount and the predicted power consumption, wherein the first balanced scheduling vector is used for indicating the power generation equipment to output the electric energy with the predicted power consumption to the load equipment in the power balanced scheduling period, the second balanced scheduling vector is used for indicating the power generation equipment to output the electric energy with the difference between the predicted power generation amount and the predicted power consumption to the energy storage equipment in the power balanced scheduling period, and the power balanced scheduling vector comprises the first balanced scheduling vector and the second balanced scheduling vector.
In the above scheme, when the power scheduling platform determines that the characteristic ratio between the predicted power generation amount and the predicted power consumption amount is greater than or equal to the preset safety threshold, it means that the predicted power generation amount of the power generation device can satisfy or even exceed the predicted power consumption amount of the load device. At the moment, the power dispatching platform ensures that the power generation equipment outputs the electric energy for predicting the power consumption to the load equipment in the power balance dispatching period by determining the first balance dispatching vector, and meets the power consumption requirement of the load equipment. Meanwhile, by determining the second balanced scheduling vector, the power generation equipment is instructed to output electric energy of a difference value between the predicted power generation amount and the predicted power consumption amount to the energy storage equipment, so that reasonable storage of the electric energy is realized. This strategy helps to optimize the supply and demand balance of the power system, ensuring a stable supply of electrical energy. And under the condition that the predicted power generation amount is sufficient, the power dispatching platform guides the power generation equipment to transmit the redundant electric energy to the energy storage equipment for storage through the second balanced dispatching vector. The energy storage device can avoid waste of electric energy, and can release the electric energy through the energy storage device when the subsequent power demand is high or the power generation capacity is insufficient, so that stable operation of the power system is ensured. Therefore, the technical effect is beneficial to improving the high-efficiency utilization rate of the energy storage equipment and realizing the optimal configuration of the electric energy. Through the intelligent scheduling of the power scheduling platform, the running states of the power generation equipment and the energy storage equipment are flexibly adjusted according to the ratio of the predicted power generation amount to the predicted power consumption amount, so that reasonable distribution and efficient utilization of electric energy are realized, the occurrence of power shortage or surplus phenomenon is reduced, the running cost of a power system is reduced, and the overall efficiency of the power system is improved. Therefore, by introducing the concepts of the power balance scheduling parameters and the balance scheduling vectors, the power scheduling platform can flexibly adjust the power balance scheduling strategy according to the real-time running condition of the power system. The method is beneficial to enhancing the flexibility and reliability of the power system, improving the coping capability of the power system to the emergency and ensuring the stable operation of the power system.
Optionally, the power scheduling platform determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, including:
If the power scheduling platform determines that the characteristic ratio between the predicted power generation amount and the predicted power consumption amount is smaller than a preset safety threshold, the power scheduling platform determines a third balanced scheduling vector and a fourth balanced scheduling vector according to the predicted power generation amount and the predicted power consumption amount, wherein the third balanced scheduling vector is used for indicating the power generation equipment to output the electric energy with the predicted power consumption amount to the load equipment in the power balanced scheduling period, the fourth balanced scheduling vector is used for indicating the energy storage equipment to output the electric energy with the absolute value of the difference between the predicted power generation amount and the predicted power consumption amount to the load equipment in the power balanced scheduling period, and the power balanced scheduling vector comprises the third balanced scheduling vector and the fourth balanced scheduling vector.
In the above scheme, when the power scheduling platform determines that the characteristic ratio between the predicted power generation amount and the predicted power consumption amount is smaller than the preset safety threshold, it means that the predicted power generation amount of the power generation device cannot meet the predicted power consumption amount of the load device. In this case, the power scheduling platform ensures that the power generation device outputs the power of the predicted power consumption amount to the load device in the power balance scheduling period by determining the third balance scheduling vector, although this part of the power may be insufficient to fully satisfy the load demand. But more importantly, the power dispatching platform also instructs the energy storage device to output the electric energy with the absolute value of the difference between the predicted power generation amount and the predicted power consumption amount to the load device in the power balance dispatching period by determining the fourth balance dispatching vector, so that the defect of power supply of the power generation device is effectively overcome, and the stability and the reliability of power supply are ensured. In the case of insufficient predicted power generation, the energy storage device is an important component of the power system, and the emergency response capability is particularly important. Through the guidance of the fourth balance scheduling vector, the energy storage device can rapidly provide the needed electric energy for the load device, and the pressure of electric power shortage is effectively relieved. The technical effect of the method not only improves the emergency response capability of the energy storage equipment, but also enhances the risk resistance capability of the whole power system.
Under the condition of unbalanced supply and demand of power, the power dispatching platform realizes the optimized distribution of power resources by reasonably determining a third balanced dispatching vector and a fourth balanced dispatching vector. On one hand, the basic power consumption requirement of the load equipment is ensured, and on the other hand, the serious consequences such as system paralysis or large-scale power failure caused by power shortage are avoided through the supplementary power supply of the energy storage equipment. The optimized allocation strategy is beneficial to reducing the running cost of the power system and improving the utilization efficiency of power resources.
Therefore, when the power balance scheduling parameters are determined, the power scheduling platform needs to comprehensively consider a plurality of factors such as the predicted power generation amount, the actual storage power amount, the predicted power consumption amount and the like, and flexibly adjusts the direction and the size of the balance scheduling vector according to the size of the characteristic ratio, so that the improvement of the intelligent and automatic level of the power system is promoted.
Optionally, the power scheduling platform determines a power balance scheduling parameter according to the predicted power generation amount, the actual storage power amount and the predicted power consumption amount, and further includes:
and the power scheduling platform updates the power balance scheduling period according to the characteristic ratio.
In the scheme, the power scheduling platform updates the power balance scheduling period according to the characteristic ratio (namely the ratio between the predicted power generation amount and the predicted power consumption amount). Through real-time monitoring and analysis of the running state of the power system, the power dispatching platform can dynamically adjust the dispatching cycle so as to better adapt to the change of the power system and ensure the stability and reliability of power supply. The updating of the power balance schedule period facilitates the power scheduling platform to more precisely schedule power production and consumption, thereby optimizing the configuration of power resources. Under the condition of unbalanced supply and demand of electric power, the electric power dispatching platform can better coordinate the work of the power generation equipment and the energy storage equipment by adjusting the dispatching cycle, ensure the full utilization of electric power resources and avoid waste and shortage. The technical effect is beneficial to improving the overall efficiency of the power system and reducing the running cost.
And the power scheduling platform updates the power balance scheduling period according to the characteristic ratio, thereby being beneficial to enhancing the stability and safety of the power system. By dynamically adjusting the scheduling period, the power scheduling platform can more effectively cope with emergencies and abnormal situations of the power system, such as power shortage, equipment faults and the like. The technical effect is beneficial to ensuring the stable operation of the power system and avoiding serious consequences such as large-scale power failure. In addition, the power dispatching platform updates the process of the power balance dispatching cycle according to the characteristic ratio, so that the intelligent and automatic level of the power system is promoted, and the power dispatching is more accurate, efficient and reliable.
Optionally, after the power scheduling platform determines the power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, the method further includes:
And the power dispatching platform sends the power balance dispatching parameters to the power generation equipment and the energy storage equipment so that the power generation equipment and/or the energy storage equipment can conduct electric energy transfer according to the power balance dispatching parameters.
In the scheme, after the power balance scheduling parameters are determined, the power scheduling platform timely sends the parameters to the power generation equipment and the energy storage equipment, so that the accuracy of power system regulation and control is ensured. The power generation equipment and the energy storage equipment can accurately adjust the electric energy output or storage state according to the received electric power balance scheduling parameters, so that the supply and demand balance of the electric power system is realized. The accurate regulation and control is helpful for avoiding excess or shortage of power and ensuring stable operation of a power system.
The power balance scheduling parameters are sent through the power scheduling platform, and the power generation equipment and the energy storage equipment can transmit electric energy according to actual demands, so that the utilization efficiency of power resources is improved. During peak demand periods, the power generation device may increase the power output, while the energy storage device may release stored power as necessary to meet the load demand. During periods of low demand, the power generation device may reduce the power output, while the energy storage device may store excess power for demand from time to time. The flexible electric energy transmission mode is beneficial to reducing the running cost of the electric power system and improving the overall economic benefit.
In addition, the power dispatching platform sends power balance dispatching parameters to the power generating devices and the energy storage devices so that the devices can respond to changes in the power system quickly. When the power supply and demand are unbalanced or an emergency occurs, the power generation equipment and the energy storage equipment can be quickly adjusted according to the power balance scheduling parameters, so that the stability and the reliability of the power system are ensured. The rapid response speed is beneficial to reducing the risk of power system faults and improving the electricity utilization experience of users.
The invention provides a power management system, which comprises a power dispatching platform, power generation equipment, load equipment and energy storage equipment, wherein the power generation equipment, the load equipment and the energy storage equipment are connected through a power network, and the power generation equipment, the load equipment and the energy storage equipment are respectively in communication connection with the power dispatching platform;
The power dispatching platform broadcasts a power balance dispatching instruction to the power generation equipment, the load equipment and the energy storage equipment;
The power generation equipment responds to the power balance scheduling instruction, acquires a power generation characteristic parameter in a next preset measurement period, determines a predicted power generation amount according to the power generation characteristic parameter, and sends the predicted power generation amount to the power scheduling platform;
The power generation equipment responds to the power balance scheduling instruction, acquires the current actual stored electric quantity of the energy storage equipment, and sends the actual stored electric quantity to the power scheduling platform;
the load equipment responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform;
The power scheduling platform determines power balance scheduling parameters according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, wherein the power balance scheduling parameters comprise a power balance scheduling period and a power balance scheduling vector, and the balance scheduling vector is used for determining the power output direction and the power output amount of the power generation equipment and the energy storage equipment in the power balance scheduling period.
The first balance scheduling vector is used for indicating the power generation equipment to output the electric energy with the predicted power consumption to the load equipment in the power balance scheduling period, and the second balance scheduling vector is used for indicating the power generation equipment to output the electric energy with the difference value between the predicted power generation amount and the predicted power consumption to the energy storage equipment in the power balance scheduling period;
correspondingly, the method for obtaining the power generation characteristic parameters in the next preset measurement period and determining the predicted power generation amount according to the power generation characteristic parameters comprises the following steps:
The power generation equipment determines the predicted power generation amount according to the illumination characteristic parameters and the temperature characteristic parameters in the power generation characteristic parameters.
In a third aspect, the present invention provides an electronic device comprising:
processor, and
A memory for storing executable instructions of the processor;
Wherein the processor is configured to perform any one of the possible methods described in the first aspect via execution of the executable instructions.
In a fourth aspect, the present invention provides a computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out any one of the possible methods described in the first aspect.
According to the power balance method for the power system source network load storage coordination, the power balance scheduling instruction is broadcast to the power generation equipment, the load equipment and the energy storage equipment through the power scheduling platform, then the power generation equipment responds to the power balance scheduling instruction, the power generation characteristic parameter in the next preset measurement period is obtained, the predicted power generation amount is determined according to the power generation characteristic parameter, the predicted power generation amount is sent to the power scheduling platform, the power generation equipment responds to the power balance scheduling instruction, the current actual storage electric quantity of the energy storage equipment is obtained, the actual storage electric quantity is sent to the power scheduling platform, the load equipment responds to the power balance scheduling instruction, the predicted power consumption in the next preset measurement period is obtained, the predicted power consumption is sent to the power scheduling platform, so that the power scheduling platform determines the power balance scheduling parameter according to the predicted power generation amount, the actual storage electric quantity and the predicted power consumption, wherein the power balance scheduling parameter comprises a power balance scheduling period and a power balance scheduling vector, and the power balance scheduling vector is used for determining the power output direction and the power output amount of the power generation equipment and the energy storage equipment in the power balance scheduling period, further the power balance scheduling parameter is adjusted according to real-time data, the power consumption of the power generation equipment and the energy storage equipment can be used more effectively, the resource consumption of the power generation equipment and the energy storage equipment can not be wasted, and the whole power system resource can be reduced, and the resource consumption can be further only be wasted.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
Along with the rapid development of the power system and the transformation of the energy structure, the collaborative optimization of the power system source network charge storage is realized, the power supply and demand balance is ensured, the energy utilization efficiency is improved, and the method becomes an important direction of the current power technology research. The invention provides a power balance method for power system source network load storage coordination, which aims to realize efficient coordination among power generation equipment, load equipment and energy storage equipment through real-time data acquisition, intelligent prediction and dynamic scheduling and ensure stable operation of a power system.
The core idea of the embodiment provided by the invention is to construct a power management system comprising a power dispatching platform, power generation equipment, load equipment and energy storage equipment. The power scheduling platform is used as a central center to collect power generation characteristic parameters of power generation equipment, predicted power consumption of load equipment and actual storage power of energy storage equipment in real time, and advanced prediction algorithm and scheduling strategy are utilized to dynamically determine power balance scheduling parameters, including power balance scheduling period and power balance scheduling vector. These parameters will direct the direction of power output and the amount of power output of the power generation device and the energy storage device during the power balance scheduling period, thereby achieving the balance of supply and demand of the power system.
The main innovation points of the embodiment provided by the invention are as follows:
The power generation equipment can acquire power generation characteristic parameters in the next preset measurement period in real time, such as an illumination intensity curve, an environment temperature curve and an illumination angle curve (aiming at the photovoltaic power generation equipment), and accurately predicts the generated energy by using the parameters. The load device accurately predicts the power consumption in the next preset measurement period by adopting a time sequence prediction method based on the historical power consumption data. The energy storage equipment reports the current actual stored electric quantity in real time, and provides an important reference for power dispatching.
And the power scheduling platform dynamically calculates power balance scheduling parameters according to the predicted generated energy, the actual stored electric quantity and the predicted power consumption which are acquired in real time. And the power balance scheduling strategy is flexibly adjusted by introducing the comparison of the characteristic ratio (the ratio between the predicted power generation amount and the predicted power consumption amount) and the preset safety threshold. When the characteristic ratio is smaller than the preset safety threshold, the energy storage device is used for supplementing the electric energy, so that the load demand is ensured to be met.
Dynamic updating of the scheduling period, namely dynamically updating the power balance scheduling period by the power scheduling platform according to the characteristic ratio so as to adapt to the real-time change of the power system. The dynamic adjustment mechanism improves the flexibility and adaptability of power dispatching, is beneficial to optimizing power resource allocation and improves system efficiency.
And the cooperative control and the accurate regulation are realized by broadcasting power balance scheduling instructions to the power generation equipment, the load equipment and the energy storage equipment through the power scheduling platform. The cooperative control ensures that each loop of the power system can work according to a preset plan, and improves the cooperativity and consistency of the system. The power generation equipment and the energy storage equipment are accurately regulated and controlled according to the received power balance scheduling parameters, so that reasonable transmission and distribution of electric energy are realized, and the phenomenon of surplus or shortage of electric power is avoided.
Fig. 1 is a flow chart illustrating a power system source network load storage collaboration oriented power balancing method according to an example embodiment of the present invention. As shown in fig. 1, the power system source network load storage collaboration-oriented power balancing method provided in this embodiment includes:
and S101, the power dispatching platform broadcasts a power balance dispatching instruction to the power generation equipment, the load equipment and the energy storage equipment.
The power balance method for the coordination of power system source network load storage provided by the embodiment can be applied to a power management system. The power management system comprises a power dispatching platform, and power generation equipment, load equipment and energy storage equipment which are connected through a power network, wherein the power generation equipment, the load equipment and the energy storage equipment are respectively in communication connection with the power dispatching platform. The implementation manner and the function of each part of the power management system are as follows:
The power dispatching platform is a central center of the whole power management system and is responsible for collecting, processing and analyzing real-time data from power generation equipment, load equipment and energy storage equipment. Based on the data, a reasonable power balance scheduling scheme is made through an advanced algorithm and model, and scheduling instructions are sent to related equipment.
The power generation equipment is an energy source of an electric power system, can be renewable energy power generation equipment such as photovoltaic power generation equipment, wind power generation equipment, hydroelectric power generation equipment and the like, and can also be traditional thermal power generation equipment and the like. The devices can respond to the instruction of the power dispatching platform to adjust the generated power of the devices so as to meet the supply and demand balance of the power system.
Load devices, which are energy consuming terminals of an electrical power system, including various industrial devices, household appliances, lighting devices, etc. These devices receive electrical energy through an electrical power network and consume it according to actual demands. Meanwhile, the power consumption prediction data can be provided for the power dispatching platform, so that a basis is provided for power balance dispatching.
Energy storage devices-energy storage devices are an important component in electrical power systems for storing electrical energy when the power supply is excessive and releasing electrical energy when the power supply is insufficient. The power dispatching platform can respond to the instruction of the power dispatching platform and adjust the charging and discharging states of the power dispatching platform so as to stabilize supply and demand fluctuation of a power system.
The power network is not only a transmission channel of electric energy, but also a medium for communication among the power generation equipment, the load equipment and the energy storage equipment. Through the power network, the devices can realize real-time transmission of data and accurate issuing of instructions. In addition, a communication protocol and an interface can be set, and in order to ensure smooth and unimpeded communication between devices, a unified communication protocol and interface standard can be adopted in the embodiment of the invention. The power generation equipment, the load equipment and the energy storage equipment are all provided with communication modules meeting the standard, and can be stably and efficiently communicated with the power dispatching platform. During communication, the embodiment of the invention can also take various security measures such as data encryption, identity verification and the like so as to ensure confidentiality and integrity of data. Meanwhile, by establishing a redundant communication path and a fault switching mechanism, the reliability and stability of the communication system are improved.
In the step, the power dispatching platform generates a power balance dispatching instruction according to the real-time running state and the predicted demand of the power system. The power dispatching platform broadcasts power balance dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment through communication connection. Instruction content includes, but is not limited to, power balance schedule requirements, time nodes, and parameter settings, among others.
S102, the power generation equipment responds to the power balance scheduling instruction, acquires the power generation characteristic parameters in the next preset measurement period, and determines the predicted power generation amount according to the power generation characteristic parameters.
In the step, the power generation equipment responds to the power balance scheduling instruction, acquires the power generation characteristic parameters in the next preset measurement period, determines the predicted power generation amount according to the power generation characteristic parameters, and sends the predicted power generation amount to the power scheduling platform.
Specifically, the power generation equipment responds to the power balance scheduling instruction to acquire the power generation characteristic parameters in the next preset measurement period. These parameters may include an illumination intensity profile (for a photovoltaic power plant), an ambient temperature profile, an illumination angle profile, etc. And the power generation equipment determines the predicted power generation amount by using a built-in prediction algorithm or model according to the acquired power generation characteristic parameters. And the power generation equipment sends the predicted power generation data to the power dispatching platform for the subsequent calculation of power balance dispatching parameters.
S103, the power generation equipment responds to the power balance scheduling instruction to acquire the current actual stored electric quantity of the energy storage equipment.
In the step, the power generation equipment responds to the power balance dispatching instruction, acquires the current actual stored electric quantity of the energy storage equipment, and sends the actual stored electric quantity to the power dispatching platform.
Specifically, the power generation equipment also responds to the power balance scheduling instruction to acquire the current actual stored electric quantity of the energy storage equipment. And sending the actual stored electric quantity data to the power dispatching platform so as to reflect the current state of the energy storage equipment.
S104, the load equipment responds to the power balance scheduling instruction to acquire the predicted power consumption in the next preset measurement period.
In the step, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform.
Specifically, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period by using the historical power consumption data and a prediction algorithm, and sends the predicted power consumption data to the power scheduling platform.
In one possible design, the load device determines the predicted power consumption in the next preset measurement period based on the power consumption in the current preset measurement period, the power consumption in the last preset measurement period, and the predicted power consumption in the last preset measurement period among the historical power consumption of the load device. By comprehensively considering the historical power consumption data of the load equipment, including the power consumption in the current preset measurement period, the power consumption in the last preset measurement period and the predicted power consumption in the last preset measurement period, the power consumption in the next preset measurement period can be predicted more accurately. The prediction mode based on the historical data fully utilizes the time sequence characteristic of the power consumption of the load equipment, and improves the accuracy and reliability of the prediction. The accurate power consumption prediction data provides an important decision basis for the power dispatching platform. The power dispatching platform can formulate more reasonable power balance dispatching parameters according to the predicted power consumption and by combining the predicted power generation capacity of the power generation equipment and the actual storage power of the energy storage equipment. The method is not only beneficial to balancing the supply-demand relation of the power system, but also can effectively reduce the occurrence of power shortage or surplus phenomenon and improve the overall operation efficiency of the power system. In addition, the load device can operate more stably based on accurate power consumption prediction. The power dispatching platform can adjust the running state of the load equipment in advance according to the prediction result, and equipment faults or damages caused by insufficient or excessive power supply are avoided. At the same time, this also helps to extend the service life of the load device, reducing maintenance and replacement costs.
And S105, the power scheduling platform determines power balance scheduling parameters according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount.
In the step, the power dispatching platform determines power balance dispatching parameters according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, wherein the power balance dispatching parameters comprise a power balance dispatching period and a power balance dispatching vector, and the balance dispatching vector is used for determining the power output direction and the power output amount of the power generation equipment and the energy storage equipment in the power balance dispatching period.
Specifically, the power dispatching platform collects the predicted generated energy reported by the power generation equipment, the actual stored electric energy and the predicted power consumption reported by the load equipment. And the power dispatching platform calculates power balance dispatching parameters by using a built-in algorithm or model according to the collected data. These parameters include power balance schedule period and power balance schedule vector. The power balance scheduling period is used for determining an execution time range of power balance scheduling. The power balance scheduling vector is used for determining the electric energy output direction and the electric quantity output quantity of the power generation equipment and the energy storage equipment in the power balance scheduling period.
If the characteristic ratio between the predicted power generation amount and the predicted power consumption amount is greater than or equal to a preset safety threshold, the power dispatching platform can preferentially meet the load demand and store the redundant electric energy in the energy storage equipment. If the feature ratio is smaller than a preset safety threshold, the power dispatching platform supplements electric energy through the energy storage equipment so as to ensure that the load demand is met. The power dispatching platform can dynamically update the power balance dispatching cycle according to the characteristic ratio so as to adapt to the real-time change of the power system.
In this embodiment, a power balance scheduling instruction is broadcast to a power generating device, a load device and an energy storage device through a power scheduling platform, then the power generating device responds to the power balance scheduling instruction, a power generation characteristic parameter in a next preset measurement period is obtained, a predicted power generation amount is determined according to the power generation characteristic parameter, the predicted power generation amount is sent to the power scheduling platform, the power generating device responds to the power balance scheduling instruction, a current actual storage electric quantity of the energy storage device is obtained, the actual storage electric quantity is sent to the power scheduling platform, a load device responds to the power balance scheduling instruction, a predicted power consumption in the next preset measurement period is obtained, and the predicted power consumption is sent to the power scheduling platform, so that the power scheduling platform determines a power balance scheduling parameter according to the predicted power generation amount, the actual storage electric quantity and the predicted power consumption, wherein the power balance scheduling parameter comprises a power balance scheduling period and a power balance scheduling vector, and the power output quantity of the power generating device and the energy storage device in the power balance scheduling period are determined, and the power balance scheduling parameter is adjusted according to real-time data, resources of the power generating device and the energy storage device can be more effectively utilized, and the energy waste can be reduced, and the utilization efficiency of the whole power system can be improved.
Fig. 2 is a flow chart illustrating a power system source network load storage collaboration oriented power balancing method according to another example embodiment of the present invention. As shown in fig. 2, the power balancing method for power system source network load storage coordination provided in this embodiment includes:
and S201, the power dispatching platform broadcasts a power balance dispatching instruction to the power generation equipment, the load equipment and the energy storage equipment.
In the step, the power dispatching platform generates a power balance dispatching instruction according to the real-time running state and the predicted demand of the power system. The power dispatching platform broadcasts power balance dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment through communication connection. Instruction content includes, but is not limited to, power balance schedule requirements, time nodes, and parameter settings, among others.
S202, the power generation equipment responds to the power balance scheduling instruction, acquires the power generation characteristic parameters in the next preset measurement period, and determines the predicted power generation amount according to the power generation characteristic parameters.
In the step, the power generation equipment responds to the power balance scheduling instruction, acquires the power generation characteristic parameters in the next preset measurement period, determines the predicted power generation amount according to the power generation characteristic parameters, and sends the predicted power generation amount to the power scheduling platform.
It should be noted that, if the power generation device is a photovoltaic power generation device, the power generation device uses formula 1, and determines the predicted power generation amount according to the power generation characteristic parameter, where formula 1 is:
Wherein,In order to predict the amount of power generation,For the start of the next preset measurement period,For the end time of the next preset measurement period,The photoelectric conversion coefficient is calibrated for the photovoltaic power generation equipment,For the illumination intensity profile of the next preset measurement period,Is the maximum light receiving area of the photovoltaic power generation equipment,In order to preset the temperature decay coefficient,For the ambient temperature profile of the next preset measurement period,In order to calibrate the reference ambient temperature,For the illumination angle curve of the next preset measurement period,For the preset angle adjustment coefficient, the angle adjustment coefficient is set,To calibrate the illumination angle.
In the scheme, the power generation characteristics of the photovoltaic power generation equipment in actual operation can be more accurately reflected by comprehensively considering a plurality of factors such as illumination intensity, ambient temperature, illumination angle and the like and introducing corresponding adjustment coefficients, so that the accuracy of predicting the power generation capacity is improved. Because the photovoltaic power generation amount is greatly influenced by natural environment factors, the prediction by adopting the formula 1 can be better suitable for different weather conditions and seasonal changes, so that a power dispatching platform can formulate a more reasonable power balance dispatching strategy. Accurate power generation capacity prediction is helpful for a power dispatching platform to more reasonably allocate resources of power generation equipment and energy storage equipment. When the predicted generated energy is insufficient, the charge and discharge plans of the energy storage equipment can be adjusted in advance, and the stable operation of the power system is ensured. The power dispatching platform can find out the unbalance conditions of supply and demand in the power system more timely by acquiring and predicting the photovoltaic power generation capacity in real time, and adopts corresponding dispatching measures to adjust, so that the stability and reliability of the power system are enhanced.
In other words, the above formula 1 comprehensively considers a plurality of key factors affecting the photovoltaic power generation amount, including the illumination intensity, the ambient temperature, and the illumination angle. By incorporating these factors into the calculation model, the actual power generation characteristics of the photovoltaic power generation apparatus can be more comprehensively reflected. Parameters such as a calibrated photoelectric conversion coefficient, a preset temperature attenuation coefficient, a calibrated reference environment temperature, a preset angle adjustment coefficient, a calibrated illumination angle and the like are introduced, so that the fineness and the accuracy of prediction are further improved. These parameters are derived based on the physical characteristics and historical operating data of the photovoltaic power generation device, and can more accurately describe the variation of photovoltaic power generation under different conditions. In addition, as the formula 1 can calculate and predict the photovoltaic power generation capacity in real time, the power dispatching platform can rapidly adjust the power balance dispatching strategy according to the latest prediction result. This flexibility helps the power system to better cope with sudden situations and demand changes, ensuring a balanced supply and demand. The power dispatching platform can control the running states of the power generation equipment and the energy storage equipment more accurately by updating the predicted power generation amount in real time, optimize resource allocation and improve the overall running efficiency of the power system. The accurate power generation amount prediction is beneficial to the power dispatching platform to more reasonably arrange the work plan of the photovoltaic power generation equipment, and invalid operation and energy waste are reduced. By optimizing the power balance scheduling strategy, the loss in the transmission process of the power grid can be reduced, the energy utilization efficiency is further improved, and the realization of the energy conservation and emission reduction targets is promoted. In addition, the accurate power generation amount prediction is beneficial to the power dispatching platform to better meet the power consumption requirements of users and reduce the occurrence of power shortage or surplus phenomena. The method is beneficial to improving the electricity utilization experience of the user and enhancing the trust degree and satisfaction degree of the user on the power system. By realizing the balance and stable operation of the supply and demand of the power system, the power failure risk and the equipment failure rate can be reduced, and the electricity reliability and the safety of users are further improved.
S203, the power generation equipment responds to the power balance scheduling instruction to acquire the current actual stored electric quantity of the energy storage equipment.
In the step, the power generation equipment responds to the power balance dispatching instruction, acquires the current actual stored electric quantity of the energy storage equipment, and sends the actual stored electric quantity to the power dispatching platform.
Specifically, the power generation equipment also responds to the power balance scheduling instruction to acquire the current actual stored electric quantity of the energy storage equipment. And sending the actual stored electric quantity data to the power dispatching platform so as to reflect the current state of the energy storage equipment.
S204, the load equipment responds to the power balance scheduling instruction to acquire the predicted power consumption in the next preset measurement period.
In the step, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform.
Specifically, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period by using the historical power consumption data and a prediction algorithm, and sends the predicted power consumption data to the power scheduling platform.
It is worth to describe that the load device uses equation 2, and determines the predicted power consumption in the next preset measurement period according to the historical power consumption of the load device, where equation 2 is:
Wherein,For the predicted power consumption in the next preset measurement period,The parameters are adjusted for a preset rate of change,For the power consumption in the current preset measurement period in the historical power consumption,For the power consumption in the last preset measurement period in the historical power consumption,The predicted power consumption is the last preset measurement period.
It should be noted that, the above formula 2 can more accurately predict the power consumption in the next preset measurement period by comprehensively considering the historical power consumption data of the load device, including the power consumption in the current preset measurement period, the power consumption in the last preset measurement period, and the predicted power consumption in the last preset measurement period. The preset change speed adjusting parameters are introduced, so that the prediction model can dynamically adjust the prediction result according to the change trend of the historical data, and the prediction accuracy and reliability are further improved.
Because formula 2 can update the predicted power consumption in real time, the power dispatching platform can rapidly adjust the power balance dispatching strategy according to the latest prediction result so as to adapt to the change of the power consumption of the load equipment. The adaptability is beneficial to the power system to better cope with the fluctuation and emergency situation of the demand, ensures the balance of the supply and the demand and improves the stability and the reliability of the system. In addition, the accurate power consumption prediction provides an important decision basis for the power dispatching platform, so that the power dispatching platform can more reasonably arrange the running states of the power generation equipment and the energy storage equipment and optimize the configuration of power resources. By realizing the optimal configuration of the power resources, the energy waste can be reduced, the resource utilization efficiency of the whole power system is improved, and the operation cost is reduced.
In addition, the application of the formula 2 enables the power dispatching platform to better meet the power consumption requirements of users and reduce the occurrence of power shortage or surplus phenomena. By realizing the supply and demand balance of the power system, the power consumption reliability and safety of the user can be improved, and the power consumption experience of the user is improved. By realizing the intelligent and automatic management of the power system, the operation efficiency and the service level of the power system can be improved, and powerful support is provided for the construction of the intelligent power grid.
And S205, the power scheduling platform determines power balance scheduling parameters according to the predicted power generation amount, the actual storage power amount and the predicted power consumption amount.
In the step, the power dispatching platform determines power balance dispatching parameters according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, wherein the power balance dispatching parameters comprise a power balance dispatching period and a power balance dispatching vector, and the balance dispatching vector is used for determining the power output direction and the power output amount of the power generation equipment and the energy storage equipment in the power balance dispatching period.
In one case, if the power scheduling platform determines that the feature ratio between the predicted power generation amount and the predicted power consumption amount is greater than or equal to the preset safety threshold, determining a power balance scheduling period according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount by using formula 3, where formula 3 is:
Wherein,For a power balancing scheduling period,In order to predict the amount of power generation,In order to predict the amount of power consumption,For the maximum stored power of the energy storage device,For the current actual stored power of the energy storage device,A scheduling period is calibrated for the preset;
The power dispatching platform determines a first balance dispatching vector and a second balance dispatching vector according to the predicted power generation amount and the predicted power consumption amount, the first balance dispatching vector is used for indicating the power generation equipment to output the power of the predicted power consumption amount to the load equipment in a power balance dispatching period, the second balance dispatching vector is used for indicating the power generation equipment to output the power of the difference between the predicted power generation amount and the predicted power consumption amount to the energy storage equipment in the power balance dispatching period, and the power balance dispatching vector comprises the first balance dispatching vector and the second balance dispatching vector.
It is worth to describe that, the power balance scheduling period can be dynamically calculated by comprehensively considering the predicted power generation amount, the predicted power consumption amount, the maximum storage power of the energy storage device, the current actual storage power of the energy storage device and the preset calibration scheduling period in the formula 3. The dynamic adjustment mechanism enables the power dispatching platform to flexibly arrange power production and consumption according to the real-time running condition of the power system, so that the configuration of power resources is optimized. The power balance scheduling period determined by the formula 3 can ensure that the predicted power generation amount of the power generation equipment meets the predicted power consumption amount of the load equipment, and can provide necessary charging time for the energy storage equipment so as to keep the sufficient power of the energy storage equipment. This arrangement helps to avoid an unbalanced supply and demand condition of electric power, thereby enhancing the stability of the electric power system and reducing occurrence of shortage or surplus phenomenon of electric power. And, formula 3 uses the maximum stored electric quantity and the current actual stored electric quantity of the energy storage device as important parameters for calculating the power balance scheduling period, so as to ensure that the energy storage device can be charged or discharged at a proper time. The optimization strategy is beneficial to improving the utilization rate of the energy storage equipment, reducing energy waste and improving the resource utilization efficiency of the whole power system. In addition, the preset calibration scheduling period in the formula 3 provides a reference standard for the power scheduling platform, so that a scheduler can adjust the scheduling period when necessary according to the actual running condition of the power system. The flexibility is beneficial to the power dispatching platform to better cope with emergency and demand fluctuation and ensure the stable operation of the power system.
Further, after determining the power balance schedule period according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount by using the formula 3, the method further includes:
the power dispatching platform updates the power balance dispatching cycle according to the characteristic ratio by using the formula 4, wherein the formula 4 is as follows:
Wherein,As a characteristic ratio value of the two-dimensional space,Dynamic adjustment factors for the power balance schedule period,For the preset grid stability factor to be a set,In order to preset the first weight value of the first weight,The second weight value is preset.
It should be noted that, the characteristic ratio, that is, the ratio between the predicted power generation amount and the predicted power consumption amount is introduced in the formula 5, so as to dynamically adjust the power balance scheduling period. The adjustment mode enables the power dispatching platform to more accurately arrange power production and consumption according to the real-time supply and demand conditions of the power system, so that the dispatching accuracy and flexibility are improved. The dynamic adjustment factor of the power balance scheduling period in the formula 5 comprehensively considers a plurality of factors including a preset power grid stability factor, a preset first weight value and a preset second weight value. By setting and adjusting these parameters, the power dispatching platform can more effectively cope with the fluctuation and variation of the power system, thereby enhancing the stability of the power system. By updating the power balance scheduling period in the formula 5, the power scheduling platform can more reasonably allocate power resources. Under the condition of sufficient predicted power generation, the scheduling period can be prolonged, so that the power generation equipment has more time to maintain and overhaul, and under the condition of insufficient predicted power generation, the scheduling period can be shortened, and the timeliness and stability of power supply are ensured. In addition, the current actual storage electric quantity of the energy storage device and the maximum storage electric quantity of the energy storage device in the formula 5 serve as important parameters for calculating dynamic adjustment factors of the power balance scheduling period, and the energy storage device is beneficial to optimizing the charging and discharging strategies of the energy storage device. Through reasonable scheduling period arrangement, the energy storage equipment can be ensured to charge or discharge at proper time, so that the utilization rate of the energy storage equipment is improved. In addition, each parameter in the formula 5 can be flexibly set and adjusted according to the actual condition of the power system, so that the power dispatching platform can better cope with the power supply and demand conditions in different scenes, and stable operation and sustainable development of the power system are ensured.
In another case, if the power scheduling platform determines that the feature ratio between the predicted power generation amount and the predicted power consumption amount is smaller than the preset safety threshold, then using formula 5, and determining a power balance scheduling period according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, where formula 5 is:
The power dispatching platform determines a third balance dispatching vector and a fourth balance dispatching vector according to the predicted power generation amount and the predicted power consumption amount, the third balance dispatching vector is used for indicating the power generation equipment to output the power of the predicted power consumption amount to the load equipment in a power balance dispatching period, the fourth balance dispatching vector is used for indicating the power storage equipment to output the power of the absolute value of the difference value between the predicted power generation amount and the predicted power consumption amount to the load equipment in the power balance dispatching period, and the power balance dispatching vector comprises the third balance dispatching vector and the fourth balance dispatching vector.
It is worth to say that, when the characteristic ratio between the predicted power generation amount and the predicted power consumption amount is smaller than the preset safety threshold, it means that the predicted power generation amount of the power generation device cannot meet the predicted power consumption amount of the load device. At this time, equation 4 dynamically calculates the power balance schedule period by considering the current actual stored power amount and the absolute value of the difference between the predicted power generation amount and the predicted power consumption amount of the energy storage device. The dynamic adaptability ensures that the scheduling period can be flexibly adjusted according to the real-time supply and demand conditions of the power system, thereby improving the scheduling effectiveness and response speed. The power dispatching platform can more reasonably arrange the working time of the power generation equipment and the energy storage equipment through the dispatching cycle calculated by the formula 4. Under the condition of insufficient generated energy, the scheduling period may be shortened so as to ensure that the energy storage equipment can timely supplement electric energy and meet load requirements. The resource optimization is beneficial to reducing the running cost of the power system and improving the energy utilization efficiency. After determining the power balance scheduling period, the power scheduling platform determines a third balance scheduling vector and a fourth balance scheduling vector according to the predicted power generation amount and the predicted power consumption amount. The third balanced schedule vector ensures that the power generation device outputs electrical energy of the predicted power consumption to the load device within the schedule period to meet the base load demand. The fourth balance schedule vector then instructs the energy storage device to output additional electrical energy to the load device as necessary to make up for the deficit in power generation. The accurate control is helpful for realizing supply and demand balance of the power system and ensuring the stability and reliability of power supply. By the combined action of the third balanced scheduling vector and the fourth balanced scheduling vector, the power generation equipment and the energy storage equipment can realize cooperative work. When the generated energy is insufficient, the energy storage equipment can release the stored electric energy to supplement power supply. The equipment cooperation mechanism is beneficial to improving the overall operation efficiency of the power system and reducing the operation and maintenance cost. In addition, under the condition that the generated energy cannot meet the load demand, the energy storage equipment can timely supplement electric energy through the guidance of the fourth balance scheduling vector, so that the risk of electric power shortage is effectively relieved. The risk relieving mechanism is helpful for ensuring the stable operation of the power system and avoiding serious consequences such as system paralysis or large-scale power failure caused by power shortage.
For example, during an emergency or extreme weather conditions, the supply and demand conditions of the power system may change drastically. At this time, through the combined action of the formula 4 and the balance scheduling vector, the power scheduling platform can quickly adjust the scheduling strategy and ensure the emergency response capability of the power system. The emergency response mechanism is beneficial to improving the safety and reliability of the power system and guaranteeing the electricity demand of users.
Further, after determining the power balance schedule period according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount by using the formula 4, the method further includes:
the power dispatching platform updates the power balance dispatching cycle according to the characteristic ratio by using the formula 6, wherein the formula 6 is as follows:
Wherein,As a characteristic ratio value of the two-dimensional space,Dynamic adjustment factors for the power balance schedule period,For the preset grid stability factor to be a set,In order to preset the first weight value of the first weight,The second weight value is preset.
It is worth to describe that, by introducing a plurality of parameters such as a feature ratio, a dynamic adjustment factor of a power balance scheduling period, a preset power grid stability factor, a preset first weight value, a preset second weight value and the like, the power scheduling platform can dynamically adjust the scheduling period according to the real-time supply and demand conditions of the power system. The flexibility is beneficial to the power dispatching platform to better cope with the emergency and supply and demand change of the power system and ensure the stability and reliability of power supply. By comprehensively considering the predicted power generation amount, the predicted power consumption, the current actual storage power of the energy storage device and the maximum storage power of the energy storage device, a more reasonable power balance scheduling period can be calculated according to the formula 6. The power dispatching platform is favorable for more accurately arranging the work of the power generation equipment and the energy storage equipment, optimizing the configuration of power resources and improving the energy utilization efficiency. The dynamic adjustment factor in formula 6 is adjusted according to the feature ratio, the preset first weight value and the preset second weight value, which means that the scheduling period can be finely adjusted according to the real-time supply and demand condition of the power system and the state of the energy storage device. This accuracy helps to reduce the occurrence of excess or shortage of power and ensures the balance of supply and demand of the power system. By continuously updating the power balance scheduling period, the power scheduling platform can better coordinate the work of the power generation equipment and the energy storage equipment, avoid the overload or idle condition of the equipment, and further improve the stability of the whole power system. In addition, the preset grid stability factor in equation 6 also helps to ensure the stability of the power system during the dispatch process. When the power system faces emergency or unbalance of supply and demand, the new power balance scheduling period can be rapidly calculated by the formula 6, and the power generation equipment and the energy storage equipment are guided to be correspondingly adjusted. This rapid response capability helps the power dispatch platform to better address the emergency conditions of the power system, ensuring the continuity and stability of the power supply.
And S206, the power dispatching platform sends the power balance dispatching parameters to the power generation equipment and the energy storage equipment.
In this step, the power dispatching platform sends the power balance dispatching parameters to the power generating device and the energy storage device, so that the power generating device and/or the energy storage device can transfer electric energy according to the power balance dispatching parameters.
The power dispatching platform comprehensively considers the real-time supply and demand conditions of the power system, the state of the energy storage equipment and the power generation capacity of the power generation equipment by receiving the predicted power generation capacity sent by the power generation equipment, the actual stored power sent by the energy storage equipment and the predicted power consumption sent by the load equipment to determine reasonable power balance dispatching parameters. These parameters include, but are not limited to, power balance schedule period, power balance schedule vector, etc., which together form the basis for the power scheduling platform to precisely regulate the power system.
After determining the power balance scheduling parameters, the power scheduling platform sends the parameters to the power generation equipment and the energy storage equipment in real time through a communication network. The implementation of this step relies on a sophisticated communication infrastructure and efficient communication protocols in the power management system to ensure accurate and rapid transmission of parameters to the target device.
The power balance scheduling parameters received by the power generation equipment guide the power generation equipment to output electric energy of corresponding electric quantity to the load equipment and the energy storage equipment in the power balance scheduling period. The power generation equipment adjusts the power generation plan according to the parameters, and ensures that the output electric energy is matched with the scheduling requirements.
For energy storage devices, the received power balance schedule parameters will determine their charge or discharge state within the power balance schedule period. When the predicted power generation amount of the power generation equipment exceeds the predicted power consumption amount of the load equipment, the energy storage equipment receives and stores redundant electric energy, and when the predicted power generation amount of the power generation equipment cannot meet the predicted power consumption amount of the load equipment, the energy storage equipment supplements the released and stored electric energy.
After the power balance scheduling parameters are received, the power generation equipment and the energy storage equipment conduct accurate electric energy transfer according to the parameters. The implementation of this step relies on efficient power transmission and distribution networks in the power system, as well as the power output and storage capabilities of the power generation and energy storage devices themselves.
The power generation equipment adjusts the power output direction and the output quantity of the power generation equipment according to the power balance dispatching vector in the power balance dispatching parameters, so that stable power is provided for the load equipment and the energy storage equipment.
And the energy storage equipment performs charging or discharging operation according to the indication in the power balance scheduling parameter so as to balance the supply and demand relationship in the power system. The energy storage device receives the surplus electric energy output by the power generation device in the charging process, and provides the required electric energy for the load device in the discharging process.
In the electric energy transmission process, the electric power dispatching platform dynamically adjusts electric power balance dispatching parameters by monitoring the running state of the electric power system, the electric energy output and storage conditions of the power generation equipment and the energy storage equipment in real time. The realization of the step depends on a perfect monitoring system and an efficient adjustment mechanism in the power management system, so that the power system can always operate in a stable and efficient state.
In the scheme, after the power balance scheduling parameters are determined, the power scheduling platform timely sends the parameters to the power generation equipment and the energy storage equipment, so that the accuracy of power system regulation and control is ensured. The power generation equipment and the energy storage equipment can accurately adjust the electric energy output or storage state according to the received electric power balance scheduling parameters, so that the supply and demand balance of the electric power system is realized. The accurate regulation and control is helpful for avoiding excess or shortage of power and ensuring stable operation of a power system.
The power balance scheduling parameters are sent through the power scheduling platform, and the power generation equipment and the energy storage equipment can transmit electric energy according to actual demands, so that the utilization efficiency of power resources is improved. During peak demand periods, the power generation device may increase the power output, while the energy storage device may release stored power as necessary to meet the load demand. During periods of low demand, the power generation device may reduce the power output, while the energy storage device may store excess power for demand from time to time. The flexible electric energy transmission mode is beneficial to reducing the running cost of the electric power system and improving the overall economic benefit.
In addition, the power dispatching platform sends power balance dispatching parameters to the power generating devices and the energy storage devices so that the devices can respond to changes in the power system quickly. When the power supply and demand are unbalanced or an emergency occurs, the power generation equipment and the energy storage equipment can be quickly adjusted according to the power balance scheduling parameters, so that the stability and the reliability of the power system are ensured. The rapid response speed is beneficial to reducing the risk of power system faults and improving the electricity utilization experience of users.
Fig. 3 is a schematic diagram of a power management system according to an example embodiment of the present invention. As shown in fig. 3, the power management system 300 provided in this embodiment includes a power dispatching platform 310, and a power generation device 320, a load device 330 and an energy storage device 340 that are connected through a power network, where the power generation device 320, the load device 330 and the energy storage device 340 are respectively connected with the power dispatching platform 310 in a communication manner;
The power dispatching platform 310 broadcasts power balance dispatching instructions to the power generating device 320, the load device 330 and the energy storage device 340;
the power generation equipment 320 responds to the power balance scheduling instruction, acquires a power generation characteristic parameter in a next preset measurement period, determines a predicted power generation amount according to the power generation characteristic parameter, and sends the predicted power generation amount to the power scheduling platform 310;
The power generation device 320 responds to the power balance scheduling instruction to obtain the current actual stored power of the energy storage device 340, and sends the actual stored power to the power scheduling platform 310;
The load device 330 responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform 310;
The power scheduling platform 310 determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount and the predicted power consumption amount, where the power balance scheduling parameter includes a power balance scheduling period and a power balance scheduling vector, and the balance scheduling vector is used to determine a power output direction and a power output amount of the power generation device 320 and the energy storage device 340 in the power balance scheduling period.
Optionally, the power generation device 320 is a photovoltaic power generation device 320, and correspondingly, the obtaining the power generation characteristic parameter in the next preset measurement period and determining the predicted power generation amount according to the power generation characteristic parameter includes:
The power generation device 320 determines the predicted power generation amount according to the illumination characteristic parameter and the temperature characteristic parameter among the power generation characteristic parameters.
Optionally, the load device 330 obtains the predicted power consumption in the next preset measurement period in response to the power balance scheduling instruction, including:
the load device 330 determines the predicted power consumption in the next preset measurement period according to the power consumption in the current preset measurement period, the power consumption in the last preset measurement period, and the predicted power consumption in the last preset measurement period among the historical power consumption of the load device 330.
Optionally, the power scheduling platform 310 determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount, including:
If the power scheduling platform 310 determines that the feature ratio between the predicted power generation amount and the predicted power consumption amount is greater than or equal to a preset safety threshold, the power scheduling platform 310 determines a first balanced scheduling vector and a second balanced scheduling vector according to the predicted power generation amount and the predicted power consumption amount, where the first balanced scheduling vector is used to instruct the power generation device 320 to output the power consumption amount to the load device 330 during the power balanced scheduling period, and the second balanced scheduling vector is used to instruct the power generation device 320 to output the power generation amount and the power consumption amount to the energy storage device 340 during the power balanced scheduling period, and the power balanced scheduling vector includes the first balanced scheduling vector and the second balanced scheduling vector.
Optionally, the power scheduling platform 310 determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount, including:
If the power scheduling platform 310 determines that the feature ratio between the predicted power generation amount and the predicted power consumption amount is less than the preset safety threshold, the power scheduling platform 310 determines a third balanced scheduling vector and a fourth balanced scheduling vector according to the predicted power generation amount and the predicted power consumption amount, where the third balanced scheduling vector is used to instruct the power generating device 320 to output the power consumption amount to the load device 330 in the power balanced scheduling period, and the fourth balanced scheduling vector is used to instruct the energy storing device 340 to output the power generating device 330 with the power consumption amount in the power balanced scheduling period, and the power balanced scheduling vector includes the third balanced scheduling vector and the fourth balanced scheduling vector.
Optionally, the power scheduling platform 310 determines a power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount, and further includes:
the power scheduling platform 310 updates the power balance scheduling period according to the feature ratio.
Optionally, after the power scheduling platform 310 determines the power balance scheduling parameter according to the predicted power generation amount, the actual stored power amount, and the predicted power consumption amount, the method further includes:
the power dispatching platform 310 sends the power balance dispatching parameters to the power generating device 320 and the energy storage device 340, so that the power generating device 320 and/or the energy storage device 340 can transfer electric energy according to the power balance dispatching parameters.
Fig. 4 is a schematic structural view of an electronic device according to an exemplary embodiment of the present invention. As shown in fig. 4, the electronic device 400 provided in this embodiment includes a processor 401 and a memory 402, wherein:
A memory 402 for storing a computer program, which memory may also be a flash memory.
A processor 401 for executing the execution instructions stored in the memory to implement the steps in the above method. Reference may be made in particular to the description of the embodiments of the method described above.
Alternatively, the memory 402 may be separate or integrated with the processor 401.
When the memory 402 is a device separate from the processor 401, the electronic apparatus 400 may further include:
a bus 403 for connecting the memory 402 and the processor 401.
The present embodiment also provides a readable storage medium having a computer program stored therein, which when executed by at least one processor of an electronic device, performs the methods provided by the various embodiments described above.
The present embodiment also provides a program product comprising a computer program stored in a readable storage medium. The computer program may be read from a readable storage medium by at least one processor of an electronic device, and executed by the at least one processor, causes the electronic device to implement the methods provided by the various embodiments described above.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.