Energy storage system control method, device, equipment, and storage medium

Abstract

The present application provides an energy storage system control method, apparatus, device, and storage medium. The method includes: in response to receiving an energy storage request, determining target response information based on initial energy storage information carried in the energy storage request, and sending the target response information to the power generation system; in response to the target response information being first response information, re-determining the energy storage capacity based on the first response information to obtain target energy storage information, and determining a target energy storage power station group from the energy storage system based on the target energy storage information; in response to the target energy storage power station group containing at least two energy storage power stations, determining an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information and a particle swarm algorithm; and controlling the energy storage power stations in the target energy storage power station group to store the electrical energy delivered by the power generation system based on the energy storage allocation strategy. This application can improve the reliability of coordinated energy storage control of multiple energy storage power stations.

Description

Technical Field

[0001] The present application belongs to the field of energy storage control technology, and more specifically, relates to an energy storage system control method and device, equipment, and storage medium. Background Art

[0002] During grid operation, it is often necessary to coordinate energy interactions between power generation systems and energy storage systems to respond to grid dispatch instructions or meet local energy balance needs.

[0003] Most current energy storage controls are based on the power generation surplus on the power generation side, determining one or more energy storage power stations for storage and distribution of electricity in a preset sequence or grouping. However, energy storage distribution based solely on a fixed sequence has strong limitations, resulting in low reliability of coordinated energy storage control across multiple energy storage power stations.

[0004] Therefore, a reliable energy storage system control method is needed. Summary of the Invention

[0005] The purpose of this application is to provide a method and device, equipment, and storage medium for controlling an energy storage system to improve the reliability of coordinated energy storage control of multiple energy storage power stations.

[0006] A first aspect of an embodiment of the present application provides an energy storage system control method, comprising:

[0007] In response to receiving an energy storage request, determining target response information based on initial energy storage information carried in the energy storage request, and sending the target response information to the power generation system; the energy storage request is a request sent by the power generation system to the energy storage system when preset conditions are met; the initial energy storage information includes: initial energy storage capacity;

[0008] In response to the target reply information being the first reply information, re-determining the energy storage capacity based on the first reply information to obtain target energy storage information, and determining a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicates that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; the target energy storage power station group includes at least one energy storage power station;

[0009] In response to the target energy storage power station group including one energy storage power station, determining an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information;

[0010] In response to the target energy storage power station group containing at least two energy storage power stations, determining an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information and a particle swarm algorithm;

[0011] The energy storage power stations in the target energy storage power station group are controlled based on the energy storage allocation strategy to store the electric energy delivered by the power generation system.

[0012] A second aspect of an embodiment of the present application provides an energy storage system control device, comprising:

[0013] a request receiving module configured to, in response to receiving an energy storage request, determine target response information based on initial energy storage information carried in the energy storage request, and send the target response information to the power generation system; the energy storage request is a request sent by the power generation system to the energy storage system when preset conditions are met; the initial energy storage information includes: initial energy storage capacity;

[0014] an energy storage power station determination module, configured to, in response to the target reply information being the first reply information, redetermine the energy storage capacity based on the first reply information, obtain target energy storage information, and determine a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicating that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; the target energy storage power station group including at least one energy storage power station;

[0015] a first strategy determination module, configured to determine, in response to the target energy storage power station group containing one energy storage power station, an energy storage allocation strategy for the target energy storage power station group based on target energy storage information;

[0016] A second strategy determination module is configured to determine, in response to the target energy storage power station group containing at least two energy storage power stations, an energy storage allocation strategy for the target energy storage power station group based on target energy storage information and a particle swarm algorithm;

[0017] The energy storage control module is used to control the energy storage power stations in the target energy storage power station group to store the electric energy delivered by the power generation system based on the energy storage allocation strategy.

[0018] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned energy storage system control method when executing the computer program.

[0019] According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned energy storage system control method are implemented.

[0020] The beneficial effects of the energy storage system control method, device, equipment, and storage medium provided in the embodiments of the present application are:

[0021] After receiving an energy storage request, the embodiment of the present application does not select energy storage power stations in a fixed order. Instead, it first determines the target response information based on the initial energy storage information. For example, if the initial energy storage capacity carried by the initial energy storage information is too large and the current energy storage system cannot fully meet the initial energy storage capacity, the first response information is replied to indicate that the current energy storage system can only accept part of the energy storage capacity. The energy storage capacity is then re-determined based on the target response information to obtain the target energy storage information, and then the target energy storage power station group is determined from the energy storage system. By dynamically determining the target energy storage power station group, the real-time status of the energy storage system is taken into account, avoiding the limitations caused by the fixed order, and enabling multiple energy storage power stations to work together more reasonably, thereby improving the reliability of collaborative energy storage control. Furthermore, when the target energy storage power station group contains one energy storage power station, the energy storage allocation strategy can be determined directly based on the target energy storage information, thereby reducing energy loss and system processing time. When the target energy storage power station group contains multiple energy storage power stations, the energy storage allocation strategy can be determined based on the particle swarm algorithm, which can better adapt to the actual operating conditions of the energy storage system, ensure the reasonable allocation of energy storage capacity, avoid waste or shortage of energy storage resources, and improve the reliability of coordinated energy storage control of multiple energy storage power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0023] Figure 1 A flow chart of an energy storage system control method provided in one embodiment of the present application;

[0024] Figure 2 A structural block diagram of an energy storage system control device provided in one embodiment of the present application;

[0025] Figure 3 A schematic block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0026] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0027] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.

[0028] Please refer to Figure 1 , Figure 1 This is a flow chart of an energy storage system control method provided in one embodiment of the present application. The method can be executed by a server or electronic device responsible for energy scheduling in the energy storage system, including: S101 to S105.

[0029] S101: In response to receiving an energy storage request, determining target response information based on initial energy storage information carried in the energy storage request, and sending the target response information to the power generation system; the energy storage request is a request sent by the power generation system to the energy storage system when preset conditions are met; the initial energy storage information includes: initial energy storage capacity.

[0030] In this embodiment, the energy storage request is a request sent by the power generation system to the energy storage system when preset conditions are met, such as excess power generation or abnormal grid frequency. The purpose is to store excess power on the generation side. Specifically, the preset conditions can be excess power generation or abnormal grid frequency. Specifically, the power generation system sends the energy storage system an energy storage request when the power generation system's power generation exceeds the power consumption of the power consumption system, or when the grid frequency fluctuates beyond a certain level.

[0031] In this embodiment, the initial energy storage information is the parameter carried by the power generation system in the request, that is, the total amount of electric energy that the power generation system requires the energy storage system to store. The target response information can be fully satisfied, partially satisfied, or not satisfied. The response information depends on the initial energy storage information and the current state of the energy storage system itself. For example, when the initial energy storage capacity carried in the initial energy storage information is large and exceeds the maximum energy storage capacity of the energy storage system, information can be sent to indicate that the energy storage system can currently store part of the initial energy storage capacity in the energy storage request, which is the aforementioned partial satisfaction situation. Other situations are not further described in the embodiments of this application.

[0032] S102: In response to the target reply information being the first reply information, re-determining the energy storage capacity based on the first reply information to obtain target energy storage information, and determining a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicates that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; the target energy storage power station group contains at least one energy storage power station.

[0033] In this embodiment, the first response is a partial response sent back to the power generation system by the energy storage system when the energy storage system is unable to fully meet the power generation system's initial energy storage request. For example, if the initial energy storage capacity contained in the initial energy storage request is 30MWh, but the energy storage system can only accept 25MWh, the first response sent by the device in the energy storage system to the power generation system may indicate that "the energy storage system cannot store all the energy but can accept a portion of the energy, up to a maximum of 25MWh."

[0034] In this embodiment, the target energy storage information is a set of parameters determined after recalculation based on the first reply information. For example, it may include a target energy storage capacity and a target energy storage power. Therefore, various tasks or requests in the target energy storage information can be fully received and processed by the energy storage system. The aforementioned target energy storage capacity and target energy storage power are both tasks and requests in the target energy storage information. In this embodiment, the target energy storage information can be used as a constraint condition and a method such as enumeration can be used to determine a group of energy storage power stations from energy storage power stations that are currently in a non-fully loaded state to perform the energy storage task. This group of energy storage power stations is the target energy storage power station group. The number of energy storage power stations in the target energy storage power station group can be one or more, that is, at least two. An energy storage power station in a non-fully loaded state refers to an energy storage power station where the ratio of the current stored electrical energy to its maximum storage capacity is less than a first ratio. The first ratio can be 90%-95%, or other values, and can be set based on experience and preference.

[0035] In other cases, if the target response information is the second response information (the second response information indicates that the energy storage system is currently capable of storing the energy of the initial energy storage capacity requested in the energy storage request), the subsequent process can be the same as the processing method for the first response information, with the only difference being that there is no need to redetermine the energy storage capacity. In other words, the initial energy storage information can be directly used as the target energy storage information to perform subsequent execution steps. This will not be described in detail in the embodiments of this application. If the target response information is the third response information (the third response information indicates that the energy storage system is currently unable to continue to store the energy delivered by the power generation system), no subsequent steps need to be performed, and the current state of the energy storage system can be understood as a full load state.

[0036] S103: In response to the target energy storage power station group including one energy storage power station, determine an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information.

[0037] In this embodiment, the energy storage allocation strategy of the target energy storage power station group can be determined based on the target energy storage information. The target energy storage information may include target energy storage capacity and target energy storage power. The target energy storage capacity is the capacity of the electric energy that the energy storage power station that performs the energy storage action needs to store. The target energy storage power is the power of the energy storage power station that performs the energy storage action during the energy storage process. When the target energy storage power station group contains only one energy storage power station, the target energy storage power and target energy storage capacity can be directly determined as the execution targets of the energy storage power station. That is, the energy storage power station independently stores the electric energy delivered by the power generation system. During this process, energy should be stored at the target energy storage power until the target energy storage capacity is reached.

[0038] S104: In response to the target energy storage power station group containing at least two energy storage power stations, determine an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information and a particle swarm algorithm.

[0039] In this embodiment, when the target energy storage power station group contains at least two energy storage power stations, a particle swarm optimization algorithm can be used as an optimization algorithm to determine the final energy storage allocation strategy based on the target energy storage information. In addition to the target energy storage capacity, the target energy storage information can also include target energy storage power and / or target transmission location. The parameters of the particle swarm optimization algorithm can use the algorithm's default values ​​or be set based on the actual application scenario.

[0040] In this embodiment, the iterative goal of the particle swarm algorithm can be to minimize energy loss. The particle positions of the particle swarm algorithm should correspond to the energy storage allocation strategy. For example, if the energy storage allocation strategy to be output is the energy storage power of each energy storage power station, then the particle positions in the particle swarm algorithm should be the energy storage power corresponding to each energy storage power station.

[0041] S105: Controlling the energy storage power stations in the target energy storage power station group to store the electric energy delivered by the power generation system based on the energy storage allocation strategy.

[0042] In this embodiment, the energy storage allocation strategy may include the energy storage power and energy storage capacity of each energy storage power station when performing energy storage operations. Therefore, each energy storage power station can be controlled to store energy according to its corresponding energy storage power until its corresponding energy storage capacity is reached. The control method may be PID control, etc. For example, for an energy storage power station in a target energy storage power station group, the output of the PID algorithm may be set to the energy storage power of the energy storage power station in the energy storage allocation strategy. The PID algorithm may automatically control based on the difference between the energy storage power of the energy storage power station during actual energy storage and the energy storage power of the energy storage power station in the energy storage allocation strategy to meet the total target energy storage power.

[0043] From the above, it can be concluded that after receiving the energy storage request, the embodiment of the present application does not select the energy storage power station in a fixed order, but first determines the target reply information based on the initial energy storage information. For example, if the initial energy storage capacity carried by the initial energy storage information is too large, the current energy storage system cannot fully meet the initial energy storage capacity, and then the first reply information is replied to indicate that the current energy storage system can only accept part of the energy storage capacity; then the energy storage capacity is re-determined based on the target reply information to obtain the target energy storage information, and then the target energy storage power station group is determined from the energy storage system. By dynamically determining the target energy storage power station group, the real-time status of the energy storage system is taken into account, and the limitations caused by the fixed order are avoided, so that multiple energy storage power stations can work together more reasonably, thereby improving the reliability of collaborative energy storage control. Furthermore, when the target energy storage power station group contains one energy storage power station, the energy storage allocation strategy can be determined directly based on the target energy storage information, reducing energy loss and reducing system processing time. When the target energy storage power station group contains multiple energy storage power stations, the energy storage allocation strategy can be determined based on the particle swarm algorithm, which can better adapt to the actual operating conditions of the energy storage system, ensure the reasonable allocation of energy storage capacity, avoid waste or shortage of energy storage resources, and improve the reliability of coordinated energy storage control of multiple energy storage power stations.

[0044] In one embodiment of the present application, the energy storage system includes multiple energy storage power stations, and the target energy storage information includes: target transmission location, target energy storage capacity and target energy storage power; in this embodiment, the target transmission location is the access point location where the power generation system transmits electric energy to the energy storage system, which affects the length and loss of the transmission line. The target energy storage capacity is the total amount of electric energy to be stored, which is determined by the excess power of the power generation system and the available capacity of the energy storage system. The target energy storage power is the charging power requirement that needs to be met during the energy storage process, which is limited by the transmission capacity of the power grid and the rated power of the energy storage power station. However, in the embodiment of the present application, it is mainly limited by the rated power of the energy storage power station, because the rated power of the energy storage power station should be less than the maximum transmission power of the power grid.

[0045] Determining a target energy storage power station group from the energy storage system based on the target energy storage information includes:

[0046] Determine the energy storage loss characterization value corresponding to each energy storage power station based on the target transmission location;

[0047] Determining energy storage constraints based on the target energy storage power and the target energy storage capacity, and selecting at least one energy storage power station group from multiple energy storage power stations based on the energy storage constraints, wherein each energy storage power station group contains at least one energy storage power station, and the total energy storage power of each energy storage power station group is not less than the target energy storage power, and the total energy storage capacity of each energy storage power station group is not less than the target energy storage capacity;

[0048] For each energy storage power station group, a total loss representation value of the energy storage power station group is determined based on the energy storage loss representation value and the energy discharge loss representation value of each energy storage power station in the energy storage power station group; wherein the energy discharge loss representation value of each energy storage power station is determined based on the historical energy discharge loss data of the energy storage power station;

[0049] The energy storage power station group with the smallest total loss characteristic value among at least one energy storage power station group is determined as the target energy storage power station group.

[0050] In this embodiment, the energy storage loss representation value is used to represent the energy loss during the process of transmitting electric energy from the transmission location to the energy storage station and storing it. The energy storage loss representation value is not equal to the energy storage loss during the actual energy storage process. It can be understood as the corresponding loss when a unit of electricity is sent from the target transmission location to the energy storage station. In other words, the energy storage loss representation value is proportional to the length of the transmission line and does not consider influencing conditions such as transmission voltage and environmental factors. This avoids the situation where an excessive number of energy storage stations and the consideration of too many factors lead to excessive calculation complexity, reduced system response time, and prolonged non-response to energy storage requests from the power generation system. Therefore, in this embodiment, the energy storage loss characterization value of each energy storage power station can be determined based on the target transmission location through a simple linear relationship or mapping relationship. The slope and intercept of the linear relationship can be determined based on multiple experiments or conventional parameters in the field. The slope of the linear relationship represents the correspondence between the target transmission location and the energy storage loss characterization value of each energy storage power station, and the intercept represents the minimum energy storage loss characterization value. In this embodiment, when the distance between the target transmission location and each energy storage power station is 0, that is, the grid line length is 0 (this is a hypothetical situation), the energy storage loss characterization value is 0 at this time, so the intercept can be 0.

[0051] In this embodiment, the energy-discharge loss characterization value corresponds to the energy-storage loss characterization value in a similar manner. However, due to differences in energy storage type, electrical parameters, equipment specifications, etc., different energy storage power stations may have different corresponding historical energy-discharge loss data. Therefore, the energy-discharge loss characterization value derived from the historical energy-discharge loss data may also vary. In this embodiment, for each energy storage power station, the historical energy-discharge loss data can be averaged to obtain the historical energy-discharge loss data characterization value.

[0052] In this embodiment, energy storage constraints are determined based on the target energy storage power and the target energy storage capacity, and at least one energy storage power station group is selected from multiple energy storage power stations based on the energy storage constraints. Specifically, the following steps may be performed: obtaining the rated power and current remaining available capacity of each energy storage power station in a non-full load state in the energy storage system; using the target energy storage power and the target energy storage capacity as energy storage constraints; and selecting at least one energy storage power station group from each energy storage power station in a non-full load state based on the energy storage constraints and the rated power and current remaining available capacity of each energy storage power station in the energy storage system.

[0053] In this embodiment, the energy storage constraints are conditions that must be met when selecting energy storage power station groups. At a minimum, they must satisfy the following conditions: total available capacity ≥ target energy storage capacity, and total energy storage power ≥ target energy storage power. The total available capacity is the sum of the available capacities of the energy storage stations in the selected energy storage power station group, and the total energy storage power is the sum of the rated powers of the energy storage stations in the selected energy storage power station group. A partially loaded energy storage station refers to one where the ratio of the current stored energy to its maximum storage capacity is less than a first ratio. The first ratio can be 90%-95%, or other values, and can be set based on experience and preference.

[0054] In this embodiment, all possible energy storage power station combinations are traversed based on the aforementioned energy storage constraints, and combinations that meet the aforementioned constraints are screened out, for example:

[0055] Candidate power stations: A (rated power 10MW, remaining capacity 15MWh), B (rated power 8MW, remaining capacity 20MWh), C (rated power 12MW, remaining capacity 10MWh). This value is for reference only;

[0056] Target energy storage power = 15MW, target energy storage capacity = 28MWh;

[0057] The combinations that meet the conditions are: {A+B} (total power 18MW, total capacity 35MWh), {B+C} (total power 20MW, total capacity 30MWh), and {A+B+C} (total power 30MW, total capacity 45MWh). This results in three energy storage power station groups: {A+B}, {B+C}, and {A+B+C}. It should be noted that if a single power station also satisfies the constraints, then it can also be considered a group. In this embodiment, after obtaining at least one energy storage power station group, the total loss representation value of each energy storage power station group can be calculated. The energy storage power station with the smallest total loss representation value is selected as the target energy storage power station group. The total loss representation value of an energy storage power station is equal to the sum of its energy storage loss representation value and its energy discharge loss representation value. The total loss representation value of an energy storage power station group is equal to the sum of the total loss representation values ​​of its individual energy storage power stations. In this embodiment, the target energy storage power station group can be determined from the partially loaded energy storage power stations using traversal or enumeration methods based on the constraints.

[0058] As can be seen from the above, the embodiments of the present application comprehensively consider the energy storage losses caused by the transmission location and the power and capacity limitations of the energy storage station itself, and can screen out a group of energy storage stations that better meets actual energy storage needs, avoiding the low energy storage efficiency caused by selecting inappropriate energy storage stations, and improving the reliability of coordinated energy storage control of multiple energy storage stations.

[0059] In one embodiment of the present application, the target energy storage information includes: target energy storage power and target energy storage capacity. In this embodiment of the present application, the energy storage allocation strategy of the target energy storage power station group is determined based on the target energy storage information and the particle swarm algorithm, including:

[0060] Get the reference values ​​of each parameter in the particle swarm algorithm;

[0061] Determine the particle dimension in the particle swarm algorithm based on the number of energy storage power stations in the target energy storage power station group;

[0062] Determine the particle positions of the particle swarm algorithm based on the particle dimensions in the particle swarm algorithm;

[0063] Determine the iterative constraints of the particle swarm algorithm based on the target energy storage power and target energy storage capacity;

[0064] Iterative calculations are performed based on the particle dimensions, particle positions, iteration constraints, and reference values ​​corresponding to each parameter in the particle swarm algorithm until the fitness function value of the particle swarm algorithm meets the preset iteration conditions or the number of iterations reaches a preset number. The energy storage allocation strategy corresponding to the particle in the global optimal position is used as the energy storage allocation strategy corresponding to the target energy storage power station group.

[0065] The preset number of times can be a default value of the particle swarm algorithm or set based on the scenario.

[0066] In this embodiment, the various parameters in the particle swarm algorithm can be, for example, the number of particles, inertia weight, individual learning factor, group learning factor, etc. In this embodiment of the application, the default values ​​of the algorithm or the commonly used parameter values ​​in the field can be directly set as reference values. In addition, the particle swarm algorithm should also contain particle dimensions, particle position iteration constraints, etc.

[0067] In this example, particle dimension refers to the number of parameters per particle, corresponding to the number of variables in the energy storage allocation problem. Particle position is the coordinate of the particle in the search space, representing a specific energy storage power allocation solution. Iterative constraints are the mathematical conditions that must be met during the particle swarm iterative optimization process.

[0068] In this embodiment, in the process of selecting at least one energy storage power station group from multiple energy storage power stations based on energy storage constraints, in order to reduce the amount of calculation, the losses used are all representative values. However, after the target energy storage power station group is determined, the transmission voltage should be considered in the process of determining the energy storage allocation strategy. Therefore, the particle dimension should not be equal to the number of energy storage power stations, that is, not only the energy storage power and energy storage capacity should be considered, but also the energy storage voltage should be considered to optimize the energy storage loss. At this time, one energy storage power station corresponds to three dimensions (energy storage power, energy storage capacity and energy storage voltage). Therefore, the number of energy storage power stations in the target energy storage power station group should be one-third of the particle dimension in the particle swarm algorithm. After determining the particle dimension, the particle position can be determined based on the particle dimension. More specifically, for example, if the number of energy storage power stations in the target energy storage power station group is 3, the particle dimension is 9, and the particle position in the particle swarm algorithm should be expressed as ,in, Indicates the number of the target energy storage power station group The energy storage power allocated to each energy storage power station, Indicates the number of the target energy storage power station group The transmission voltage distributed by each energy storage station, Indicates the number of the target energy storage power station group The amount of energy stored in a storage power station, .

[0069] The iteration constraints can be , In addition, there can be capacity constraints ,in, represents the target energy storage power, represents the target energy storage capacity, Indicates the number of the target energy storage power station group The maximum energy storage capacity of an energy storage power station, Indicates the number of energy storage power stations included in the target energy storage power station group.

[0070] In this embodiment, the preset iteration condition can be that the difference between the fitness function values ​​of a first number of consecutive values ​​is less than the first difference. The first number and the first difference can be determined based on multiple experiments, or set based on conventional parameters in the field. When the difference between the fitness function values ​​of a first number of consecutive values ​​is less than the first difference, it means that the iteration is close to the end and the optimal position will not change significantly, so the iteration can be stopped at this time. At this time, the global optimal position, that is, the value of each dimension corresponding to the particle position with the minimum (or maximum, in this scenario, the goal of the fitness function is to minimize loss, so it is limited to the minimum) calculated fitness function, is used as the energy storage allocation strategy corresponding to the target energy storage power station group.

[0071] From the above, it can be concluded that when determining the energy storage allocation strategy for the target energy storage power station group, the embodiment of the present application not only considers the target energy storage power and target energy storage capacity, but also introduces the energy storage voltage, so that the particle dimension covers the three dimensions of energy storage power, transmission voltage and energy storage power, and considers various influencing factors in the energy storage process, so as to be able to formulate an energy storage allocation strategy that is more in line with actual needs. This application sets iterative constraints, such as power constraints, capacity constraints, etc., to ensure that the energy storage allocation strategy generated during the iteration process meets the actual operating capacity of the energy storage power station and the scheduling requirements of the power grid, avoids the energy storage allocation strategy from exceeding the tolerance range of the energy storage power station, ensures the safe and stable operation of the energy storage system, prevents equipment damage or power grid failure caused by unreasonable energy storage allocation, and improves the reliability of collaborative energy storage control of multiple energy storage power stations.

[0072] In one embodiment of the present application, the target energy storage information further includes: target power transmission location; the particle location includes: energy storage power and energy storage voltage;

[0073] The fitness function value is determined in the following way:

[0074] For each energy storage station in the target energy storage station group, determine the energy storage loss of the energy storage station based on the target transmission location, the energy storage power corresponding to the energy storage station, and the energy storage voltage corresponding to the energy storage station;

[0075] For each energy storage power station in the target energy storage power station group, determine the energy discharge loss of the energy storage power station based on the historical energy discharge loss data of the energy storage power station;

[0076] Based on the energy storage loss and energy release loss corresponding to each energy storage power station in the target energy storage power station group, the fitness function value is determined through the fitness function.

[0077] In this embodiment, considering the problem of energy storage loss, the fitness function can be .in, represents the fitness function, represents the weight corresponding to the energy storage loss, represents the weight corresponding to the energy release loss, and Can be set based on experience, Indicates the number of the target energy storage power station group The energy storage power allocated to each energy storage power station, Indicates the number of the target energy storage power station group The transmission line resistance of an energy storage station, The target energy storage power station group The energy storage time of an energy storage power station, Indicates the number of the target energy storage power station group The energy loss of a storage power station, Indicates the number of the target energy storage power station group The energy storage voltage of an energy storage power station. Related to the target transmission location, specifically ,in represents the resistivity, The target energy storage power station group The length of the line between the energy storage station and the target transmission location, The cross-sectional area of ​​the line conductor is the resistivity and the cross-sectional area of ​​the line conductor can be set based on the conventional cable specifications. The above fitness function does not directly reflect the particle dimension. , but through Indirectly reflected, , Indicates the number of the target energy storage power station group The amount of energy stored in a storage power station, , Represents the number of energy storage power stations included in the target energy storage power station group. Substituting the position value of each particle in the particle swarm algorithm into the fitness function, the fitness function value can be obtained.

[0078] In this embodiment, the energy storage loss is understood as the actual loss, that is, the transmission voltage is taken into account, rather than the aforementioned energy storage loss representation value. However, the energy release loss can be equal to the energy release loss representation value or different. Because the energy release loss and the energy release loss representation value are both determined based on historical energy release loss data, both can be determined by taking the average, and will not have a significant impact on the calculation time. However, since the target transmission position is not fixed each time the energy storage loss is calculated, it cannot be determined based on historical energy storage data. The energy release loss is relatively fixed and depends on its own electrical performance, etc.

[0079] From the above, it can be concluded that the fitness function in the embodiment of the present application comprehensively considers the energy storage loss and energy discharge loss of each energy storage power station in the target energy storage power station group. The energy storage loss is determined based on the target transmission position, the energy storage power and energy storage voltage corresponding to the energy storage power station, and can reflect the energy loss caused by factors such as line resistance, transmission distance, and energy storage parameters during the actual transmission and energy storage process; the energy discharge loss is determined based on the historical energy discharge loss data of each energy storage power station, reflecting the actual energy loss of the energy storage power station during the energy discharge process. The fitness function can comprehensively and accurately evaluate the advantages and disadvantages of different energy storage allocation schemes and provide a basis for selecting the optimal energy storage allocation strategy. The present application continuously optimizes the energy storage allocation strategy through the particle swarm algorithm, and can find the energy storage power and energy storage voltage combination that minimizes the fitness function value, thereby effectively reducing the energy loss in the energy storage process, reducing energy waste, reducing the operating cost of the energy storage system, and improving the energy utilization efficiency of the energy storage system, thereby improving the reliability of collaborative energy storage control of multiple energy storage power stations.

[0080] In one embodiment of the present application, when the target reply information is the first reply information, the first reply information also carries the maximum acceptable energy storage capacity of the current energy storage system;

[0081] The process of determining target response information based on the initial energy storage information carried in the energy storage request and sending the target response information to the power generation system includes:

[0082] In response to the initial energy storage capacity exceeding the maximum energy storage capacity of the current energy storage system, determining a maximum accepted energy storage capacity based on the electric energy currently stored in the energy storage system, determining the target reply information to be a first reply information, and sending the first reply information carrying the maximum accepted energy storage capacity to the power generation system; the maximum accepted energy storage capacity is the electric energy capacity that can be stored when the current energy storage system reaches a full load state;

[0083] In response to the initial energy storage capacity not exceeding the maximum energy storage capacity of the current energy storage system, determining the target reply information as the second reply information, and sending the second reply information to the power generation system; the maximum accepted energy storage capacity is the electrical energy capacity required to be stored when the current energy storage system reaches a full load state; the second reply information represents that the energy storage system can currently store electrical energy of the initial energy storage capacity requested in the energy storage request;

[0084] In response to the current state of the energy storage system being a full load state, the target reply information is determined as the third reply information, and the third reply information is sent to the power generation system; the full load state means that the electric energy currently stored in the energy storage system is greater than the target stored electric energy of the energy storage system, and the target stored electric energy is the product of the maximum stored electric energy of the energy storage system and the preset proportion. The third reply information indicates that the energy storage system is currently unable to continue to store the electric energy delivered by the power generation system.

[0085] In this embodiment, the first reply message is the response sent by the energy storage system when it cannot fully meet the initial energy storage request of the power generation system, and carries the maximum accepted energy storage capacity (i.e., the actual amount of electricity that can be stored at present). The second reply message is the response sent by the energy storage system when it can fully meet the initial energy storage request, indicating that the requested amount of electricity can be received in full. The third reply message is the response sent when the energy storage system is in a fully loaded state, indicating that it cannot receive any additional electricity. The maximum accepted energy storage capacity is the maximum amount of electricity that the energy storage system can currently accept. The full load state means that the energy storage system currently stores more electricity than the target stored energy, for example, the current stored energy is greater than the total design capacity × the preset proportion (e.g., 90%).

[0086] In this embodiment, the maximum energy storage capacity can be understood as the amount of electricity required for the current energy storage system to reach a fully loaded state. That is, the concept of maximum energy storage capacity exists only when the energy storage system is not in a fully loaded state.

[0087] For example, the initial energy storage capacity exceeds the maximum acceptable energy storage capacity (first reply information). The energy storage system status is: current SOC = 70%, current stored electrical energy = 100 × 70% = 70 MWh, and the maximum acceptable energy storage capacity = total design capacity × (1-current SOC) - reserved safety capacity = 100 × 30% - 5 = 25 MWh. SOC stands for State-of-Charge, which means the battery state of charge, or the remaining power.

[0088] Logical judgment: Initial energy storage capacity (30MWh) > maximum accepted energy storage capacity (25MWh), triggering the first response logic.

[0089] Response result: The energy storage system sends a first reply message to the power generation system: "The current maximum energy storage capacity that can be received is 25MWh, and the storage request of 30MWh cannot be met."

[0090] Subsequent processing: The power generation system adjusts the power delivery to 25MWh, and the remaining 5MWh is processed through other means (such as reducing power generation or finding other energy storage points).

[0091] In one embodiment of the present application, the energy storage request further carries an initial power transmission location and an initial energy storage power; the target energy storage information further includes: a target power transmission location and a target energy storage power;

[0092] The energy storage capacity is re-determined based on the first reply information to obtain target energy storage information, including:

[0093] determining an initial power transmission location as a target power transmission location;

[0094] Determine the maximum accepted energy storage capacity as the target energy storage capacity;

[0095] The initial energy storage power is determined as the target energy storage power.

[0096] In this embodiment, considering that in actual application scenarios, if the power generation system finds that the initial settings of the energy storage system cannot meet the initial energy storage power, that is, the sum of the transmission line or inherent rated power cannot meet the initial energy storage power, then the energy storage system will not be selected. Therefore, the power generation system will not emit an initial energy storage power that exceeds the maximum power of the energy storage system. Therefore, the initial energy storage power can be determined as the target energy storage power. If the initial energy storage power cannot be met, the target energy storage power station group cannot be screened out in the subsequent constraint screening process because the initial energy storage power is greater than the maximum power of the energy storage system, and the constraint cannot be met at this time. The transmission location cannot be changed either, so only the target energy storage capacity can be determined based on the maximum accepted energy storage capacity. Finally, the target transmission location, target energy storage capacity, and target energy storage power are used as target energy storage information to determine the energy storage allocation strategy.

[0097] From the above, it can be concluded that the embodiment of the present application sends different reply messages based on the relationship between the initial energy storage capacity and the current maximum energy storage capacity of the energy storage system, allowing the power generation system to understand the current energy storage status and acceptable energy storage capacity of the energy storage system. This helps the power generation system to rationally arrange power generation plans and avoid energy waste or excess power generation due to the energy storage system's inability to receive electricity. In the embodiment of the present application, re-determining the energy storage capacity based on the first reply message helps to formulate an energy storage allocation strategy that better suits the actual situation of the energy storage system, improving the rationality and effectiveness of energy storage allocation.

[0098] Corresponding to the energy storage system control method of the above embodiment, Figure 2 This is a structural block diagram of an energy storage system control device provided in one embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 2 The energy storage system control device 20 includes: a request receiving module 21 , an energy storage power station determination module 22 , a first strategy determination module 23 , a second strategy determination module 24 and an energy storage control module 25 .

[0099] The request receiving module 21 is configured to, in response to receiving an energy storage request, determine target response information based on the initial energy storage information carried in the energy storage request, and send the target response information to the power generation system; the energy storage request is a request sent by the power generation system to the energy storage system when preset conditions are met; the initial energy storage information includes: initial energy storage capacity;

[0100] an energy storage power station determining module 22 for, in response to the target reply information being the first reply information, re-determining the energy storage capacity based on the first reply information, obtaining target energy storage information, and determining a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicating that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; and the target energy storage power station group including at least one energy storage power station;

[0101] A first strategy determination module 23 is configured to determine an energy storage allocation strategy for the target energy storage power station group based on target energy storage information in response to the target energy storage power station group containing one energy storage power station;

[0102] A second strategy determination module 24 is configured to determine an energy storage allocation strategy for the target energy storage power station group based on target energy storage information and a particle swarm algorithm in response to the target energy storage power station group containing at least two energy storage power stations;

[0103] The energy storage control module 25 is used to control the energy storage power stations in the target energy storage power station group to store the electric energy delivered by the power generation system based on the energy storage allocation strategy.

[0104] In one embodiment of the present application, the energy storage system includes multiple energy storage power stations, and the target energy storage information includes: a target transmission location, a target energy storage capacity, and a target energy storage power;

[0105] The energy storage power station determination module 22 is specifically configured to determine the energy storage loss characterization value corresponding to each energy storage power station based on the target transmission location;

[0106] Determining energy storage constraints based on the target energy storage power and the target energy storage capacity, and selecting at least one energy storage power station group from multiple energy storage power stations based on the energy storage constraints, wherein each energy storage power station group contains at least one energy storage power station, and the total energy storage power of each energy storage power station group is not less than the target energy storage power, and the total energy storage capacity of each energy storage power station group is not less than the target energy storage capacity;

[0107] For each energy storage power station group, a total loss representation value of the energy storage power station group is determined based on the energy storage loss representation value and the energy discharge loss representation value of each energy storage power station in the energy storage power station group; wherein the energy discharge loss representation value of each energy storage power station is determined based on the historical energy discharge loss data of the energy storage power station;

[0108] The energy storage power station group with the smallest total loss characteristic value among at least one energy storage power station group is determined as the target energy storage power station group.

[0109] In one embodiment of the present application, the target energy storage information includes: target energy storage power and target energy storage capacity;

[0110] The second strategy determination module 24 is specifically used to obtain reference values ​​of various parameters in the particle swarm algorithm;

[0111] Determine the particle dimension in the particle swarm algorithm based on the number of energy storage power stations in the target energy storage power station group;

[0112] Determine the particle positions of the particle swarm algorithm based on the particle dimensions in the particle swarm algorithm;

[0113] Determine the iterative constraints of the particle swarm algorithm based on the target energy storage power and target energy storage capacity;

[0114] Iterative calculations are performed based on the particle dimensions, particle positions, iteration constraints, and reference values ​​corresponding to each parameter in the particle swarm algorithm until the fitness function value of the particle swarm algorithm meets the preset iteration conditions or the number of iterations reaches a preset number. The energy storage allocation strategy corresponding to the particle in the global optimal position is used as the energy storage allocation strategy corresponding to the target energy storage power station group.

[0115] In one embodiment of the present application, the target energy storage information further includes: target power transmission location; the particle location includes: energy storage power and energy storage voltage;

[0116] The energy storage system control device 20 further includes: a fitness function value determination module for determining, for each energy storage station in the target energy storage station group, the energy storage loss of the energy storage station based on the target transmission location, the energy storage power corresponding to the energy storage station, and the energy storage voltage corresponding to the energy storage station;

[0117] For each energy storage power station in the target energy storage power station group, determine the energy discharge loss of the energy storage power station based on the historical energy discharge loss data of the energy storage power station;

[0118] Based on the energy storage loss and energy release loss corresponding to each energy storage power station in the target energy storage power station group, the fitness function value is determined through the fitness function.

[0119] In one embodiment of the present application, the energy storage power station determination module 22 is further configured to obtain the rated power and the current remaining available capacity of each energy storage power station in a non-full load state in the energy storage system;

[0120] Taking the target energy storage power and target energy storage capacity as energy storage constraints;

[0121] Based on energy storage constraints, the rated power and current remaining available capacity of each energy storage power station in a non-fully loaded state in the energy storage system, at least one energy storage power station group is selected from each energy storage power station in a non-fully loaded state.

[0122] In one embodiment of the present application, when the target reply information is the first reply information, the first reply information also carries the maximum acceptable energy storage capacity of the current energy storage system;

[0123] The request receiving module 21 is specifically configured to, in response to the initial energy storage capacity exceeding the maximum energy storage capacity of the current energy storage system, determine a maximum accepted energy storage capacity based on the electric energy currently stored in the energy storage system, determine the target reply information to be a first reply information, and send the first reply information carrying the maximum accepted energy storage capacity to the power generation system; the maximum accepted energy storage capacity is the electric energy capacity that can be stored when the current energy storage system reaches a full load state;

[0124] In response to the initial energy storage capacity not exceeding the maximum energy storage capacity of the current energy storage system, determining the target reply information as second reply information, and sending the second reply information to the power generation system; the second reply information represents that the energy storage system can currently store electrical energy of the initial energy storage capacity requested in the energy storage request;

[0125] In response to the current state of the energy storage system being a full load state, the target reply information is determined as the third reply information, and the third reply information is sent to the power generation system; the full load state means that the electric energy currently stored in the energy storage system is greater than the target stored electric energy of the energy storage system, and the target stored electric energy is the product of the maximum stored electric energy of the energy storage system and the preset proportion. The third reply information indicates that the energy storage system is currently unable to continue to store the electric energy delivered by the power generation system.

[0126] In one embodiment of the present application, the energy storage request further carries an initial power transmission location and an initial energy storage power; the target energy storage information further includes: a target power transmission location and a target energy storage power;

[0127] The energy storage power station determination module 22 is specifically configured to determine the initial power transmission location as the target power transmission location;

[0128] Determine the maximum accepted energy storage capacity as the target energy storage capacity;

[0129] The initial energy storage power is determined as the target energy storage power.

[0130] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules / units in the above-mentioned system embodiments, such as Figure 2 The receiving module request receiving module 21 , the energy storage power station determination module 22 , the first strategy determination module 23 , the second strategy determination module 24 and the energy storage control module 25 .

[0131] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0132] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0133] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store a representative value of the energy loss of each energy storage power station.

[0134] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present application can execute the implementation method described in the embodiment of the energy storage system control method provided in the embodiments of the present application, and can also execute the implementation method of the electronic device described in the embodiments of the present application, which will not be repeated here.

[0135] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0136] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.

[0137] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0138] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0139] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0140] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0141] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0142] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and such modifications or substitutions should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for controlling an energy storage system, characterized in that: include: In response to receiving the energy storage request, determining target reply information based on initial energy storage information carried in the energy storage request, and sending the target reply information to the power generation system; The energy storage request is a request sent by the power generation system to the energy storage system when a preset condition is met; The initial energy storage information includes: initial energy storage capacity; In response to the target reply information being the first reply information, re-determining the energy storage capacity based on the first reply information to obtain target energy storage information, and determining a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicates that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; the target energy storage power station group includes at least one energy storage power station; In response to the target energy storage power station group including one energy storage power station, determining an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information; In response to the target energy storage power station group containing at least two energy storage power stations, determining an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information and a particle swarm algorithm; Controlling the energy storage power stations in the target energy storage power station group to store electric energy delivered by the power generation system based on the energy storage allocation strategy; The target energy storage information includes: target energy storage power and target energy storage capacity; The determining of the energy storage allocation strategy of the target energy storage power station group based on the target energy storage information and the particle swarm algorithm includes: Get the reference values ​​of each parameter in the particle swarm algorithm; Determine the particle dimension in the particle swarm algorithm based on the number of energy storage power stations in the target energy storage power station group; Determining particle positions of the particle swarm algorithm based on particle dimensions in the particle swarm algorithm; Determining an iterative constraint condition of a particle swarm algorithm based on the target energy storage power and the target energy storage capacity; Iterative calculation is performed based on the particle dimension, the particle position, the iteration constraint condition, and the reference values ​​corresponding to the parameters in the particle swarm algorithm until the fitness function value of the particle swarm algorithm satisfies the preset iteration condition or the number of iterations reaches a preset number, and the energy storage allocation strategy corresponding to the particle in the global optimal position is used as the energy storage allocation strategy corresponding to the target energy storage power station group; The target energy storage information also includes: target power transmission location; the particle location includes: energy storage power and energy storage voltage; The fitness function value is determined by: For each energy storage power station in the target energy storage power station group, determining the energy storage loss of the energy storage power station based on the target power transmission location, the energy storage power corresponding to the energy storage power station, and the energy storage voltage corresponding to the energy storage power station; For each energy storage power station in the target energy storage power station group, determining the energy discharge loss of the energy storage power station based on the historical energy discharge loss data of the energy storage power station; The fitness function value is determined based on the energy storage loss and energy release loss corresponding to each energy storage power station in the target energy storage power station group and through the fitness function.

2. The energy storage system control method according to claim 1, wherein: The energy storage system includes multiple energy storage power stations, and the target energy storage information includes: a target transmission location, a target energy storage capacity, and a target energy storage power; Wherein, determining a target energy storage power station group from the energy storage system based on the target energy storage information includes: Determining energy storage loss characterization values ​​corresponding to each energy storage power station based on the target transmission location; determining an energy storage constraint condition based on the target energy storage power and the target energy storage capacity, and selecting at least one energy storage power station group from a plurality of energy storage power stations based on the energy storage constraint condition, wherein each energy storage power station group includes at least one energy storage power station, and the total energy storage power of each energy storage power station group is not less than the target energy storage power, and the total energy storage capacity of each energy storage power station group is not less than the target energy storage capacity; For each energy storage power station group, a total loss representation value of the energy storage power station group is determined based on the energy storage loss representation value and the energy discharge loss representation value of each energy storage power station in the energy storage power station group; wherein the energy discharge loss representation value of each energy storage power station is determined based on the historical energy discharge loss data of the energy storage power station; The energy storage power station group having the smallest total loss characteristic value among the at least one energy storage power station group is determined as the target energy storage power station group.

3. The energy storage system control method according to claim 2, wherein: The determining of energy storage constraints based on the target energy storage power and the target energy storage capacity, and selecting at least one energy storage power station group from a plurality of energy storage power stations based on the energy storage constraints, includes: Obtain the rated power and current remaining available capacity of each energy storage power station in the energy storage system that is not fully loaded; Taking the target energy storage power and the target energy storage capacity as energy storage constraint conditions; Based on the energy storage constraint condition, the rated power and current remaining available capacity of each energy storage power station in a non-full load state in the energy storage system, at least one energy storage power station group is selected from each energy storage power station in a non-full load state.

4. The energy storage system control method according to claim 1, wherein: When the target reply information is the first reply information, the first reply information also carries the maximum acceptable energy storage capacity of the current energy storage system; The step of determining target response information based on the initial energy storage information carried in the energy storage request and sending the target response information to the power generation system includes: In response to the initial energy storage capacity exceeding the maximum energy storage capacity of the current energy storage system, determining the maximum accepted energy storage capacity based on the electric energy currently stored in the energy storage system, determining the target reply information as the first reply information, and sending the first reply information carrying the maximum accepted energy storage capacity to the power generation system; the maximum accepted energy storage capacity is the electric energy capacity that can be stored when the current energy storage system reaches a full load state; In response to the initial energy storage capacity not exceeding the maximum energy storage capacity of the current energy storage system, determining the target reply information as second reply information, and sending the second reply information to the power generation system; the second reply information indicates that the energy storage system can currently store electrical energy of the initial energy storage capacity requested in the energy storage request; In response to the current state of the energy storage system being a full load state, the target reply information is determined as the third reply information, and the third reply information is sent to the power generation system; the full load state means that the electric energy currently stored in the energy storage system is greater than the target stored electric energy of the energy storage system, and the target stored electric energy is the product of the maximum stored electric energy of the energy storage system and a preset proportion. The third reply information indicates that the energy storage system is currently unable to continue to store the electric energy delivered by the power generation system.

5. The energy storage system control method according to claim 4, characterized in that: The energy storage request also carries an initial power transmission location and an initial energy storage power; The target energy storage information also includes: target power transmission location and target energy storage power; The re-determining the energy storage capacity based on the first reply information to obtain target energy storage information includes: determining the initial power transmission position as the target power transmission position; Determining the maximum accepted energy storage capacity as the target energy storage capacity; The initial energy storage power is determined as the target energy storage power.

6. An energy storage system control device, characterized in that: include: a request receiving module, configured to, in response to receiving an energy storage request, determine target reply information based on initial energy storage information carried in the energy storage request, and send the target reply information to the power generation system; The energy storage request is a request sent by the power generation system to the energy storage system when a preset condition is met; The initial energy storage information includes: initial energy storage capacity; an energy storage power station determination module, configured to, in response to the target reply information being a first reply information, re-determine the energy storage capacity based on the first reply information to obtain target energy storage information, and determine a target energy storage power station group from the energy storage system based on the target energy storage information; the first reply information indicating that the energy storage system is currently capable of storing a portion of the initial energy storage capacity in the energy storage request; the target energy storage power station group including at least one energy storage power station; a first strategy determination module, configured to determine, in response to the target energy storage power station group containing one energy storage power station, an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information; a second strategy determination module, configured to determine, in response to the target energy storage power station group containing at least two energy storage power stations, an energy storage allocation strategy for the target energy storage power station group based on the target energy storage information and a particle swarm algorithm; an energy storage control module, configured to control the energy storage power stations in the target energy storage power station group to store electric energy delivered by the power generation system based on the energy storage allocation strategy; The target energy storage information includes: target energy storage power and target energy storage capacity; The second strategy determination module is specifically used to obtain reference values ​​of various parameters in the particle swarm algorithm; Determine the particle dimension in the particle swarm algorithm based on the number of energy storage power stations in the target energy storage power station group; Determine the particle positions of the particle swarm algorithm based on the particle dimensions in the particle swarm algorithm; Determine the iterative constraints of the particle swarm algorithm based on the target energy storage power and target energy storage capacity; Iterative calculations are performed based on the particle dimensions, particle positions, iteration constraints, and reference values ​​corresponding to the various parameters in the particle swarm algorithm until the fitness function value of the particle swarm algorithm meets the preset iteration conditions or the number of iterations reaches a preset number. The energy storage allocation strategy corresponding to the particle in the global optimal position is used as the energy storage allocation strategy corresponding to the target energy storage power station group. The target energy storage information also includes: target transmission location; particle location includes: energy storage power and energy storage voltage; The energy storage system control device further includes: a fitness function value determination module for determining, for each energy storage station in the target energy storage station group, the energy storage loss of the energy storage station based on the target power transmission location, the energy storage power corresponding to the energy storage station, and the energy storage voltage corresponding to the energy storage station; For each energy storage power station in the target energy storage power station group, determine the energy discharge loss of the energy storage power station based on the historical energy discharge loss data of the energy storage power station; Based on the energy storage loss and energy release loss corresponding to each energy storage power station in the target energy storage power station group, the fitness function value is determined through the fitness function.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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