Power grid energy storage regulation method, device, equipment, medium and product

Abstract

The application relates to a power grid energy storage regulation method, device, equipment, medium and product. The method comprises the following steps: in response to a power grid regulation event, obtaining current operation data of a target transformer, current energy storage amount of an energy storage device associated with the target transformer, and an operation control strategy table corresponding to a current period, determining a current energy storage state corresponding to the current energy storage amount, determining an energy storage regulation strategy according to the current operation data, the current energy storage state and the operation control strategy table, and regulating the energy storage device according to the energy storage regulation strategy, wherein the operation control strategy table contains action value groups corresponding to different sampling time points, the action value group corresponding to each sampling time point comprises action values when different energy storage regulation actions are performed on the energy storage device in different energy storage states at the sampling time point, and the energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The method can improve the reliability of energy storage regulation.

Description

Technical Field

[0001] This application relates to the field of power distribution network technology, and in particular to a power grid energy storage regulation method, device, equipment, medium and product. Background Technology

[0002] With the continuous development of the power grid, energy storage devices are increasingly widely used in distribution networks. One crucial aspect of the effectiveness of energy storage devices is ensuring the stable operation of transformer substations. Energy storage devices can control the load rate of distribution substation transformers by adjusting the power during charging and discharging. For example, when a transformer substation is under heavy overload, the energy storage device can inject active power into the grid, increasing the system margin and thus reducing the transformer's output; when the load inside the transformer is low, the energy storage device can absorb active power, allowing the transformer to operate at a higher energy efficiency level.

[0003] Currently, the regulation methods for energy storage devices in transformer load management generally draw on the operation and control strategies of energy storage cabinets in industrial and commercial applications. That is, when the load rate of the transformer in the distribution area is greater than the heavy overload rate, the energy storage device discharges to meet the power difference required to reduce the load to the heavy load threshold; when the load of the transformer in the distribution area is less than a certain configuration value and is in a specified time period (e.g., off-peak hours), the energy storage device charges at its maximum capacity.

[0004] However, due to the randomness and uncontrollability of the load on the transformer in the distribution area, the above-mentioned energy storage regulation methods aimed at peak-valley arbitrage will reduce the reliability of energy storage regulation. Summary of the Invention

[0005] Therefore, it is necessary to provide a grid energy storage regulation method, device, equipment, medium, and product that can improve the reliability of energy storage regulation in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a grid energy storage regulation method, including:

[0007] In response to power grid control events, the system acquires the current operating data of the target transformer, the current energy storage capacity of the energy storage devices associated with the target transformer, and the corresponding operation control strategy table for the current time period.

[0008] Determine the current energy storage state corresponding to the current energy storage capacity;

[0009] Based on the current operating data, current energy storage status, and operating control strategy table, determine the energy storage regulation strategy, and regulate the energy storage equipment according to the energy storage regulation strategy;

[0010] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0011] In one embodiment, the operation control policy table is constructed in the following manner:

[0012] Acquire sample data at different sampling times within the sample period; wherein, the sample data at each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at the sampling time; the time characteristics corresponding to the sample period are the same as the time characteristics corresponding to the current period;

[0013] Based on sample data at different sampling times, preset energy storage states, and energy storage regulation actions, an operation control strategy table is constructed; where each preset energy storage state corresponds to an energy storage range.

[0014] In one embodiment, an operation control strategy table is constructed based on sample data at different sampling times, preset energy storage states, and energy storage regulation actions, including:

[0015] For each sampling time, based on the energy stored in the energy storage device at that sampling time and the energy storage range corresponding to each preset energy storage state, the target energy storage state corresponding to the sampling time is selected from each preset energy storage state; and,

[0016] Based on the average apparent power of the target transformer at the sampling time, determine the action value corresponding to each energy storage regulation action performed by the energy storage device at the sampling time;

[0017] Based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device, an operation control strategy table is constructed.

[0018] In one embodiment, based on the average apparent power of the target transformer at the sampling time, the action value corresponding to each energy storage regulation action performed by the energy storage device at the sampling time is determined, including:

[0019] For each energy storage regulation action, the power adjustment parameters are determined based on the energy storage regulation action and the maximum power of the target transformer;

[0020] The adjusted power is determined based on the power adjustment parameters and the average apparent power of the target transformer at the sampling time.

[0021] Based on the adjusted power and the rated power of the target transformer, determine the action value corresponding to the energy storage device performing energy storage regulation actions at the sampling time.

[0022] In one embodiment, an energy storage regulation strategy is determined based on current operating data, current energy storage status, and an operating control strategy table, including:

[0023] Determine the current load status of the target transformer based on the current operating data;

[0024] Determine the current control status of the energy storage device based on the current energy storage capacity;

[0025] Determine whether the current load status and current control status meet the energy storage control conditions; wherein, the energy storage control conditions are that the current load status indicates that the target transformer is not in an abnormal load state, and the current control status indicates that the energy storage device can perform charging and discharging processing.

[0026] Based on the judgment results, the current time, the current energy storage status, and the operation control strategy table, determine the energy storage regulation strategy.

[0027] In one embodiment, based on the judgment result, the current time, the current energy storage state, and the operation control strategy table, an energy storage regulation strategy is determined, including:

[0028] If the judgment result is that the energy storage regulation conditions are met, the energy storage regulation strategy is determined based on the current time, the current energy storage status, and the operation control strategy table.

[0029] If the judgment result is that the energy storage regulation conditions are not met, the standard regulation strategy that associates the current load state and the current regulation state will be used as the energy storage regulation strategy.

[0030] Secondly, this application also provides a power grid energy storage and regulation device, comprising:

[0031] The data acquisition module is used to respond to power grid control events by acquiring the current operating data of the target transformer, the current energy storage of the energy storage devices associated with the target transformer, and the operation control strategy table corresponding to the current time period.

[0032] The state determination module is used to determine the current energy storage state corresponding to the current energy storage.

[0033] The energy storage regulation module is used to determine the energy storage regulation strategy based on the current operating data, the current energy storage status, and the operating control strategy table, and to regulate the energy storage equipment according to the energy storage regulation strategy.

[0034] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0035] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0036] In response to power grid control events, the system acquires the current operating data of the target transformer, the current energy storage capacity of the energy storage devices associated with the target transformer, and the corresponding operation control strategy table for the current time period.

[0037] Determine the current energy storage state corresponding to the current energy storage capacity;

[0038] Based on the current operating data, current energy storage status, and operating control strategy table, determine the energy storage regulation strategy, and regulate the energy storage equipment according to the energy storage regulation strategy;

[0039] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0040] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0041] In response to power grid control events, the system acquires the current operating data of the target transformer, the current energy storage capacity of the energy storage devices associated with the target transformer, and the corresponding operation control strategy table for the current time period.

[0042] Determine the current energy storage state corresponding to the current energy storage capacity;

[0043] Based on the current operating data, current energy storage status, and operating control strategy table, determine the energy storage regulation strategy, and regulate the energy storage equipment according to the energy storage regulation strategy;

[0044] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0045] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0046] In response to power grid control events, the system acquires the current operating data of the target transformer, the current energy storage capacity of the energy storage devices associated with the target transformer, and the corresponding operation control strategy table for the current time period.

[0047] Determine the current energy storage state corresponding to the current energy storage capacity;

[0048] Based on the current operating data, current energy storage status, and operating control strategy table, determine the energy storage regulation strategy, and regulate the energy storage equipment according to the energy storage regulation strategy;

[0049] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0050] The aforementioned grid energy storage regulation methods, devices, equipment, media, and products introduce an operation control strategy table containing action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. By responding to grid regulation events, the current operating data of the target transformer, the current stored energy of the energy storage device, and the operation control strategy table corresponding to the current time period are obtained. Then, based on the current operating data, the current energy storage state corresponding to the current stored energy, and the operation control strategy table, an energy storage regulation strategy is determined, and the energy storage device is regulated according to the energy storage regulation strategy. By using the above method and combining the operation control strategy tables corresponding to different time periods to determine the energy storage regulation strategy, it is possible to ensure that the energy storage regulation actions are adapted to the transformer operation, thereby improving the reliability of energy storage regulation. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a flowchart illustrating a power grid energy storage control method in one embodiment;

[0053] Figure 2 This is a flowchart illustrating the process of constructing the operation control strategy table in one embodiment;

[0054] Figure 3 This is a flowchart illustrating the process of constructing the runtime control strategy table in another embodiment;

[0055] Figure 4 This is a flowchart illustrating the process of determining an energy storage control strategy in one embodiment;

[0056] Figure 5 This is a schematic diagram of the transformer state in one embodiment;

[0057] Figure 6 This is a flowchart illustrating the grid energy storage control method in another embodiment;

[0058] Figure 7 This is a structural block diagram of a power grid energy storage and control device in one embodiment;

[0059] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0061] With the continuous development of the power grid, energy storage devices are increasingly widely used in distribution networks. One crucial aspect of the effectiveness of energy storage devices is ensuring the stable operation of transformer substations. Energy storage devices can control the load rate of distribution substation transformers by adjusting the power during charging and discharging. For example, when a transformer substation is under heavy overload, the energy storage device can inject active power into the grid, increasing the system margin and thus reducing the transformer's output; when the load inside the transformer is low, the energy storage device can absorb active power, allowing the transformer to operate at a higher energy efficiency level.

[0062] Currently, the regulation methods for energy storage devices in transformer load management generally draw on the operation and control strategies of energy storage cabinets in industrial and commercial applications. That is, when the load rate of the transformer in the distribution area is greater than the heavy overload rate, the energy storage device discharges to meet the power difference required to reduce the load to the heavy load threshold; when the load of the transformer in the distribution area is less than a certain configuration value and is in a specified time period (e.g., off-peak hours), the energy storage device charges at its maximum capacity.

[0063] However, due to the randomness and uncontrollability of the load on the transformer in the distribution area, the above-mentioned energy storage regulation methods aimed at peak-valley arbitrage will reduce the reliability of energy storage regulation.

[0064] Based on this, in an exemplary embodiment, a grid energy storage regulation method is provided, which will be described using an application of this method to a server as an example. Figure 1 As shown, the specific steps include:

[0065] S101, in response to power grid control events, obtains the current operating data of the target transformer, the current energy storage of the energy storage device associated with the target transformer, and the operation control strategy table corresponding to the current time period.

[0066] In this context, a power grid control event refers to an event that regulates the load of transformers in the power grid; a target transformer is the transformer to be regulated; current operating data refers to the load data of the target transformer during the current time period, such as average apparent power; energy storage equipment is a device that stores electrical energy and performs charging and discharging functions on the distribution network; current stored energy is the percentage of remaining usable electricity in the energy storage device; and the current time period is the time period in which the user is currently located.

[0067] The so-called operation control strategy table is a strategy table used to regulate the operation of energy storage devices. Further, the operation control strategy table contains action value groups corresponding to different sampling times; each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The action value refers to the degree of contribution of the energy storage device to the stable operation of the target transformer after performing the energy storage regulation action; that is, the greater the action value, the more stable the operation of the target transformer after performing the energy storage regulation action. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device; the charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0068] For example, the charge / discharge power ratio can be expressed as: ,in, This is the maximum power of the energy storage converter; This represents the charging and discharging power of the energy storage device during the charging and discharging process. It is negative during charging and positive during discharging. For example, if the maximum power of the energy storage converter is 100kW, and the energy storage device regulates the discharge power to 80kW, the charging and discharging power ratio is 0.8; if the energy storage device regulates the charging power to 20kW, then the charging and discharging power ratio is -0.2.

[0069] Understandably, since there are significant differences in the operation of the power grid under different date characteristics, we can first combine the historical operation data of the target transformer in different time periods to train an operation control strategy table that is adapted to different date characteristics.

[0070] For example, operational data of the target transformer for at least the past year can be obtained, mainly including time and average apparent power. Then, the average apparent power per minute is serialized and sorted on a daily basis to obtain the operational curve. Subsequently, the time periods can be grouped according to season, weekday, short holidays (holidays no more than 3 days), long holidays (holidays more than 3 days), and regional customs. Based on the operational curve of the target transformer in each time period group and the selected energy storage equipment, reinforcement learning training can be performed to obtain the corresponding operation control strategy table for each time period group.

[0071] The reinforcement learning training process can be as follows: for each time period group, the operating curve of the target transformer in that time period group is used as training sample data, and the actual energy storage control actions of the energy storage devices associated with each operating curve are used as labels for the training sample data; then, the neural network model is trained using the training sample data and the corresponding labels, and after the neural network model converges, the optimal energy storage control actions of the energy storage devices under each condition are extracted from the neural network model to construct the operation control strategy table corresponding to that time period group.

[0072] Optionally, upon detecting changes in grid operation and / or fluctuations in the load of the target transformer, a grid control event for the target transformer can be generated. Subsequently, in response to the grid control event, the current operating data of the target transformer and the current energy storage capacity of the energy storage devices associated with the target transformer can be obtained from the grid database based on the equipment identification information of the target transformer.

[0073] Furthermore, based on the time period characteristics, the operation control strategy table corresponding to the current time period can be obtained from the operation control strategy table corresponding to each candidate time period.

[0074] S102, determine the current energy storage state corresponding to the current energy storage.

[0075] Here, the "current energy storage state" refers to the energy storage status of the energy storage device within the current time period. It can be understood that, to facilitate the management of the energy storage status of the energy storage device, multiple preset energy storage states can be pre-defined, each corresponding to a specific energy storage range. For example, the energy storage capacity before discharge can be set to 10%, and 10 preset energy storage states can be defined, with each preset energy storage state corresponding to a specific energy storage range. . .

[0076] Optionally, the current energy storage can be used as an index to compare with the energy storage range corresponding to each preset energy storage state, thereby obtaining a preset energy storage state that includes the current energy storage, and using the preset energy storage state as the current energy storage state.

[0077] S103. Based on the current operating data, current energy storage status, and operating control strategy table, determine the energy storage regulation strategy, and regulate the energy storage equipment according to the energy storage regulation strategy.

[0078] Among them, the so-called energy storage regulation strategy is the strategy for regulating energy storage devices, which includes energy storage regulation actions.

[0079] Optionally, it can be determined whether the target transformer is in a controllable state at the current moment based on the current operating data. For example, the current load state of the target transformer can be determined based on the current operating data. If the target transformer is in a heavy load or overload state, it is determined that the target transformer is not in a controllable state at the current moment; if the target transformer is in a normal load state, it is determined that the target transformer is in a controllable state at the current moment.

[0080] Furthermore, if it is determined that the target transformer is in a controllable state at the current moment, the current energy storage state is used to query the operation control strategy table to obtain energy storage control actions with high action value, and a corresponding energy storage control strategy is generated based on these actions. If it is determined that the target transformer is not in a controllable state at the current moment, the current operating data can be sent to the operation and maintenance terminal, which can then configure an energy storage control strategy based on the current operating data.

[0081] Furthermore, an energy storage regulation strategy can be adopted to regulate the energy storage equipment so that the load of the target transformer is in a stable operating state.

[0082] The aforementioned grid energy storage regulation method introduces an operation control strategy table containing action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. By responding to grid regulation events, the current operating data of the target transformer, the current energy storage capacity of the energy storage device, and the operation control strategy table corresponding to the current time period are obtained. Then, based on the current operating data, the current energy storage state corresponding to the current energy storage capacity, and the operation control strategy table, an energy storage regulation strategy is determined, and the energy storage device is regulated according to the energy storage regulation strategy. By combining the operation control strategy tables corresponding to different time periods to determine the energy storage regulation strategy, the method ensures that the energy storage regulation actions are compatible with the transformer operation, thereby improving the reliability of energy storage regulation.

[0083] Based on the above embodiments, this application provides an optional method for constructing an operation control strategy table, such as... Figure 2 As shown, the specific steps include:

[0084] S201, Obtain sample data at different sampling times within the sample period.

[0085] The sample data for each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at that time. The time characteristics corresponding to the sample period are the same as those corresponding to the current period, meaning that the operation control strategy table for the sample period is of reference value for the energy storage regulation actions in the current period.

[0086] Optionally, based on the target transformer's equipment identification information, the average apparent power of the target transformer at the sampling time, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device can be obtained from the power grid database. It is worth noting that the charge / discharge power ratio here corresponds to the energy storage regulation action.

[0087] For example, with sampling times at every minute, the average apparent power per day during the sampling period can be expressed as E. i =[s1,…,s 1440 ], where s t Let S be the average apparent power at minute t on day i. The stored energy of the energy storage device can be expressed as S. i =[Soc1,…,Soc 1440 ], where Soc t Let A be the energy storage state corresponding to the energy stored in the t-th minute of the i-th day. The energy storage regulation action can be represented as A. i =[a1,…,a 1440 ], where a tThe charging and discharging power (energy storage regulation action) is the power at minute t on day i.

[0088] S202, construct an operation control strategy table based on sample data at different sampling times, preset energy storage states, and energy storage regulation actions.

[0089] Each preset energy storage state corresponds to an energy storage range.

[0090] Optionally, an initial operation control strategy table can be constructed based on each preset energy storage state and each energy storage regulation action. For example, the operation control strategy table can be presented in the form of a three-dimensional matrix by referring to the following formulas (1) and (2).

[0091] (1)

[0092] (2)

[0093] Where t = 1, 2, ..., 1440; M represents the number of preset energy storage states corresponding to the energy storage device, i.e., S soc =[soc1, soc2, ..., soc M ]; N represents the number of discrete energy storage device charge / discharge power ratios. Although the charge / discharge power ratio can be any value in [-1, 1], a fixed discrete value can be chosen to enhance the convergence of learning. O ess =[o1, o2, ..., o N For example, if N=11, select discrete values ​​of -1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, and 1. Indicates at time t, At that time, execute energy storage regulation action a t (That is, the charge / discharge power ratio is 0) j The action value of ). During initialization, the execution control strategy table is defined. All are 0. It is worth noting that soc... i In this context, 'i' represents the index range of the preset energy storage state, where i = 1, 2, ..., M.

[0094] Furthermore, for each sampling moment, the element values ​​of the corresponding elements in the initial operation control strategy table can be optimized based on the average apparent power, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device in the sample data at that sampling moment. For example, the element to be optimized in the initial operation control strategy table can be located based on the preset energy storage state corresponding to the stored energy of the energy storage device and the energy storage regulation action corresponding to the charge / discharge power. Then, the element values ​​of the element to be optimized are optimized based on the transformer operating state represented by the average apparent power.

[0095] By using sample data at each sampling time and optimizing the initial operation control strategy table, the operation control strategy corresponding to the sampling period can be obtained.

[0096] In this embodiment of the application, by constructing an operation control strategy table based on sample data at different sampling times, each preset energy storage state, and each energy storage regulation action, the reliability of the operation control strategy table construction can be guaranteed.

[0097] Based on the above embodiments, this application provides another optional method for constructing the operation control strategy table, such as... Figure 3 As shown, the specific steps include:

[0098] S301, for each sampling time, based on the energy stored in the energy storage device at the sampling time and the energy storage range corresponding to each preset energy storage state, select the target energy storage state corresponding to the sampling time from each preset energy storage state.

[0099] The so-called target energy storage state is the preset energy storage state of the energy storage device at the corresponding sampling time.

[0100] Optionally, for each sampling time, the stored energy of the energy storage device at that sampling time can be used as an index to compare with the energy storage range corresponding to each preset energy storage state one by one, and the preset energy storage state corresponding to the energy storage range containing the stored energy at that sampling time can be used as the target energy storage state.

[0101] S302, for each sampling time, based on the average apparent power of the target transformer at the sampling time, determine the action value corresponding to the energy storage device performing each energy storage regulation action at the sampling time.

[0102] Optionally, for each sampling time, the average apparent power of the target transformer at that sampling time can be used to calculate the charging and discharging power corresponding to each energy storage control action, thereby obtaining the action value corresponding to each energy storage control action performed by the energy storage device at that sampling time.

[0103] For example, for each energy storage regulation action, the average apparent power of the target transformer and the charging and discharging power corresponding to the energy storage regulation action are weighted to obtain the value reference power; then, based on the transformer state of the target transformer represented by the value reference power and the difference between the value reference power and the rated power of the target transformer, the action value corresponding to the energy storage regulation action is determined.

[0104] S303, construct an operation control strategy table based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device.

[0105] Optionally, the element values ​​of the corresponding elements in the initial operation control strategy table can be optimized based on the target energy storage state at each sampling time and the action value corresponding to the energy storage device performing each energy storage regulation action, thereby obtaining the operation control strategy table.

[0106] For example, for each sampling date, the target energy storage state at the next sampling time on that sampling date and the action value corresponding to each energy storage regulation action performed by the energy storage device can be used to optimize the operation control strategy table.

[0107] Understandably, in order to ensure the reliability of the operation control strategy table optimization, for each sampling date, the target energy storage state and the action value corresponding to each energy storage regulation action performed by the energy storage device on that sampling date can be used to iterate the operation control strategy table obtained on the previous sampling date.

[0108] In this embodiment of the application, by constructing an operation control strategy table based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device, the accuracy of the operation control strategy table can be guaranteed.

[0109] Based on the above embodiments, this application provides an optional method for calculating the value of an action. Specifically, for each energy storage regulation action, a power adjustment parameter is determined based on the energy storage regulation action and the maximum power of the target transformer; the adjusted power is determined based on the power adjustment parameter and the average apparent power of the target transformer at the sampling time; and the action value corresponding to the energy storage device performing the energy storage regulation action at the sampling time is determined based on the adjusted power and the rated power of the target transformer.

[0110] The so-called power adjustment parameter is the parameter used to adjust the average apparent power. The so-called adjusted power is the adjusted average apparent power.

[0111] Optionally, for each energy storage regulation action, the maximum power of the target transformer can be processed using the charging and discharging power ratio corresponding to that action to obtain power adjustment parameters. Then, the power adjustment parameters are weighted with the average apparent power of the target transformer at the sampling time to obtain the adjusted power.

[0112] For example, the product of the charging and discharging power ratio corresponding to the energy storage regulation action and the maximum power of the target transformer can be used as the power adjustment parameter, referring to the following formula (3). Then, the sum of the power adjustment parameter and the average apparent power of the target transformer at the sampling time is used as the adjusted power.

[0113] (3)

[0114] in, At minute t, the charge / discharge power ratio is 0. j Adjusted power at time; s t Let be the average apparent power at minute t.

[0115] Furthermore, based on the load state corresponding to the adjusted power, the corresponding action value calculation method can be selected. Then, using this action value calculation method, the adjusted power and the rated power of the target transformer are processed to obtain the action value corresponding to the energy storage regulation action at the sampling time.

[0116] For example, the following formula (4) can be used to determine the load state corresponding to the adjusted power based on the ratio between the adjusted power and the rated power of the target transformer; then, the value of the energy storage regulation action can be obtained by combining the value calculation method corresponding to the load state.

[0117] (4)

[0118] in, At minute t, the charge / discharge power ratio is 0. j The value of action at that time; S rated For the rated power of the target transformer, 0.85S rated The load limit for the target transformer under heavy load conditions; the above This indicates that the target transformer is under overload or in a state of photovoltaic penetration, thus its value is minimal; This indicates that the target transformer is under heavy load, so the action value decreases as the heavy load rate increases.

[0119] Alternatively, the forgetting rate λ can be used, referring to the formula. λ=0.1, iterate through the operation control strategy table, and determine the operation control strategy table at time t. You can refer to the following formula (5). h is the index information corresponding to the preset energy storage state. i in formula (5) is the index interval of the preset energy storage state, i=1,...,M. Furthermore, i=h indicates that the preset energy storage state is in the corresponding index interval; i≠h indicates that the preset energy storage state is not in the corresponding index interval; This is a table of operational control strategies for each index range.

[0120] (5)

[0121] In this embodiment, by combining the energy storage regulation action, the maximum power of the target transformer, and the average apparent power of the target transformer at the sampling time, the action value corresponding to the energy storage device performing the energy storage regulation action at the sampling time can be determined, thus ensuring the reliability of the action value calculation.

[0122] Based on the above embodiments, this application provides an optional method for determining energy storage control strategies, such as... Figure 4 As shown, the specific steps include:

[0123] S401, based on the current operating data, determine the current load status of the target transformer.

[0124] The so-called current load status refers to the load status of the target transformer in the current time period.

[0125] Optionally, the current apparent power can be obtained from the current operating data; then, the current apparent power is used as an index to compare it in the power range corresponding to each load state, thereby obtaining the current load state of the target transformer.

[0126] S402, determine the current control status of the energy storage device based on the current energy storage capacity.

[0127] The so-called current control status refers to the control status of the energy storage device, which may include whether the energy storage device can perform charging and discharging processes.

[0128] Optionally, the current stored energy can be compared with the standard stored energy range when the energy storage device is in a charge-dischargeable state to obtain the current control state of the energy storage device. For example, when the current stored energy is within the standard stored energy range, the current control state indicates that the energy storage device can perform charge-discharge processing; when the current stored energy is outside the standard stored energy range, the current control state indicates that the energy storage device cannot perform charge-discharge processing.

[0129] S403 determines whether the current load status and current control status meet the energy storage control conditions.

[0130] Among them, the so-called energy storage regulation conditions are the conditions that restrict the energy storage equipment from performing energy storage regulation. Furthermore, the energy storage regulation conditions can be the current load state indicating that the target transformer is not in an abnormal load state, and the current regulation state indicating that the energy storage equipment can perform charging and discharging processing.

[0131] Abnormal load conditions can refer to the target transformer being under heavy load or overload, or to the target transformer being in a photovoltaic penetration state. Further, when the real-time load of the target transformer is greater than 85% but less than 100% of its rated load, it is determined to be under heavy load; when the real-time load of the target transformer is greater than 100% of its rated load, it is determined to be under overload. Photovoltaic penetration refers to the phenomenon where the power generation of distributed photovoltaic systems in the transformer substation exceeds the local load demand, causing power to flow back to the target transformer.

[0132] Optionally, it can be determined whether the current load status indicates that the target transformer is not in an abnormal load state, and whether the current control status indicates whether the energy storage device can perform charging and discharging processes.

[0133] Furthermore, if the current load state indicates that the target transformer is not in an abnormal load state, and the current control state indicates that the energy storage device can perform charging and discharging processing, then the judgment result is determined to meet the energy storage control conditions; if the current load state indicates that the target transformer is in an abnormal load state, and / or the current control state indicates that the energy storage device cannot perform charging and discharging processing, then the judgment result is determined to not meet the energy storage control conditions.

[0134] For example, based on the current apparent power s t and current energy storage SOC t To determine whether the energy storage regulation conditions are met. This is the minimum charge rate of the energy storage device. When the stored energy of the energy storage device is less than the minimum charge rate, the energy storage device cannot discharge.

[0135] Specifically, when the target transformer load is within the normal operating range, i.e., the load factor range is 0-85%, the energy storage device has greater flexibility in regulation. Therefore, referring to... Figure 5 The diagram showing the transformer status is as follows: ,and In the case where the target transformer is overloaded and the energy storage device can discharge, the energy storage device needs to perform precise discharge operations, therefore, the energy storage regulation conditions are not met; ,and In the case where the target transformer is under photovoltaic penetration and the energy storage device can be charged, the energy storage device needs to absorb excess power, therefore, the energy storage regulation conditions are not met; ,and In the case where the target transformer is overloaded, but the energy storage device cannot discharge, or... ,and In the case where the target transformer is under photovoltaic penetration but the energy storage device cannot be charged, charging and discharging are impossible, and therefore, the energy storage regulation conditions are not met. Under all other conditions, the energy storage regulation conditions are met.

[0136] S404. Based on the judgment result, the current time, the current energy storage status, and the operation control strategy table, determine the energy storage regulation strategy.

[0137] Optionally, based on the judgment results, it can be determined whether to combine the operation control strategy table to determine the energy storage regulation strategy. If so, the energy storage regulation strategy can be determined based on the current time, the current energy storage state, and the operation control strategy table. For example, the current time and the current energy storage state can be used as index information to query the operation control strategy table, thereby obtaining the energy storage regulation action matching the current time and the current energy storage state; then, based on the energy storage regulation action, the corresponding energy storage regulation strategy is constructed.

[0138] If not required, an anomaly alert can be sent to the operation and maintenance team to prompt them to adjust and handle the energy storage equipment.

[0139] In this embodiment of the application, by judging whether the current load state and the current control state meet the energy storage control conditions, and then combining the operation control strategy table, the energy storage control strategy is determined, which can ensure the rationality of the energy storage control strategy determination.

[0140] Based on the above embodiments, this application provides an optional method for determining an energy storage control strategy. Specifically, if the determination result is that the energy storage control conditions are met, the energy storage control strategy is determined based on the current time, the current energy storage state, and the operation control strategy table. If the determination result is that the energy storage control conditions are not met, the standard control strategy associated with the current load state and the current control state is used as the energy storage control strategy.

[0141] The so-called standard control strategy is a fixed control strategy configured for a specific situation.

[0142] Optionally, if the judgment result indicates that the energy storage regulation conditions are met, the current time and current energy storage state can be used as index information to query the operation control strategy table, thereby obtaining energy storage regulation actions that match the current time and current energy storage state and are within a preset charge / discharge ratio range. Then, based on the energy storage regulation actions, a corresponding energy storage regulation strategy is constructed. The charge / discharge ratio range can be determined by combining the current apparent power and the maximum power of the energy storage converter.

[0143] If the judgment result is that the energy storage control conditions are not met, the current load state and the current control state can be used as index information to query among a variety of preset standard control strategies, and the standard control strategy that is compatible with the current load state and the current control state can be used as the energy storage control strategy.

[0144] For example, the following formula (6) can be used to determine the energy storage regulation action.

[0145] (6)

[0146] in, Indicates the use of SoC t The action of querying the operation control strategy table as an input parameter; express .

[0147] That is, in ,and In the case of using the formula Combined with the current apparent power S t The rated power S of the target transformer rated and the maximum power of the energy storage converter The energy storage regulation action (charge and discharge power ratio) is calculated.

[0148] exist ,and In this case, the formula can be used. Combined with the current apparent power S t and the maximum power of the energy storage converter The energy storage regulation action (charge and discharge power ratio) is calculated.

[0149] exist ,and In the case where the target transformer is overloaded, but the energy storage device cannot discharge, or... ,and In such cases, the energy storage regulation action is to not perform charging and discharging.

[0150] In other cases, the following formula (7) can be used to calculate the selectable range of charge / discharge ratios based on the current apparent power and the maximum power of the energy storage converter. Next, considering the selectable range of charge / discharge ratios, the system queries the operation control strategy table using the current time and energy storage state to obtain energy storage regulation actions within the charge / discharge ratio range. It is worth noting that when multiple energy storage regulation actions exist, the action with the highest value is prioritized. Furthermore, an energy storage regulation strategy is generated based on the selected energy storage regulation action.

[0151] (7)

[0152] In this embodiment of the application, by providing two different methods for determining the energy storage control strategy, the flexibility of determining the energy storage control strategy can be guaranteed.

[0153] Figure 6 This is a flowchart illustrating a grid energy storage control method in another embodiment. Based on the above embodiments, this embodiment provides an optional example of a grid energy storage control method. Figure 6 The specific implementation process is as follows:

[0154] S601, obtain sample data at different sampling times within the current time period.

[0155] The sample data at each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at that sampling time; the time characteristics corresponding to the sample period are the same as the time characteristics corresponding to the current period.

[0156] S602, for each sampling time, based on the energy stored in the energy storage device at the sampling time and the energy storage range corresponding to each preset energy storage state, select the target energy storage state corresponding to the sampling time from each preset energy storage state, and determine the action value corresponding to the energy storage device performing each energy storage regulation action at the sampling time based on the average apparent power of the target transformer at the sampling time.

[0157] Optionally, for each energy storage regulation action, the power adjustment parameters are determined based on the energy storage regulation action and the maximum power of the target transformer; the adjusted power is determined based on the power adjustment parameters and the average apparent power of the target transformer at the sampling time; and the action value corresponding to the energy storage device performing the energy storage regulation action at the sampling time is determined based on the adjusted power and the rated power of the target transformer.

[0158] S603, constructs an operation control strategy table based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device.

[0159] Each preset energy storage state corresponds to an energy storage range.

[0160] S604, in response to power grid control events, acquires the current operating data of the target transformer, the current energy storage of the energy storage devices associated with the target transformer, and the operating control strategy table corresponding to the current time period.

[0161] S605 determines the current energy storage state corresponding to the current energy storage, and determines the current load state of the target transformer based on the current operating data.

[0162] S606, determine the current control status of the energy storage device based on the current energy storage capacity.

[0163] S607 determines whether the current load status and current control status meet the energy storage control conditions.

[0164] Among them, the energy storage control conditions are that the current load state indicates that the target transformer is not in an abnormal load state, and the current control state indicates that the energy storage device can perform charging and discharging processes.

[0165] S608: If the judgment result is that the energy storage regulation conditions are met, the energy storage regulation strategy is determined based on the current time, the current energy storage state, and the operation control strategy table. If the judgment result is that the energy storage regulation conditions are not met, the standard regulation strategy associated with the current load state and the current regulation state is used as the energy storage regulation strategy.

[0166] The specific processes of S601-S608 described above can be found in the description of the above method embodiments. Their implementation principles and technical effects are similar, and will not be repeated here.

[0167] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0168] Based on the same inventive concept, this application also provides a grid energy storage control device for implementing the grid energy storage control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the grid energy storage control device provided below can be found in the limitations of the grid energy storage control method described above, and will not be repeated here.

[0169] In one exemplary embodiment, such as Figure 7 As shown, a power grid energy storage and control device 1 is provided, comprising: a data acquisition module 10, a status determination module 20, and an energy storage and control module 30, wherein:

[0170] The data acquisition module 10 is used to respond to power grid control events and acquire the current operating data of the target transformer, the current energy storage of the energy storage device associated with the target transformer, and the operation control strategy table corresponding to the current time period.

[0171] The state determination module 20 is used to determine the current energy storage state corresponding to the current energy storage.

[0172] The energy storage regulation module 30 is used to determine the energy storage regulation strategy based on the current operating data, the current energy storage status and the operation control strategy table, and to regulate the energy storage device according to the energy storage regulation strategy;

[0173] The operation control strategy table includes action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device. The charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device.

[0174] In one exemplary embodiment, the grid energy storage regulation device 1 further includes a construction module, wherein the construction module is specifically used for:

[0175] Acquire sample data at different sampling times within the sample period; wherein, the sample data at each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at the sampling time; the time characteristics corresponding to the sample period are the same as the time characteristics corresponding to the current period; construct an operation control strategy table based on the sample data at different sampling times, each preset energy storage state, and each energy storage control action; wherein, each preset energy storage state corresponds to an energy storage range.

[0176] In one exemplary embodiment, the building module is further configured to:

[0177] For each sampling time, based on the energy stored in the energy storage device at the sampling time and the energy storage range corresponding to each preset energy storage state, the target energy storage state corresponding to the sampling time is selected from each preset energy storage state; and based on the average apparent power of the target transformer at the sampling time, the action value corresponding to each energy storage regulation action performed by the energy storage device at the sampling time is determined; and based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device, an operation control strategy table is constructed.

[0178] In one exemplary embodiment, the building module is further configured to:

[0179] For each energy storage regulation action, the power adjustment parameters are determined based on the energy storage regulation action and the maximum power of the target transformer; the adjusted power is determined based on the power adjustment parameters and the average apparent power of the target transformer at the sampling time; and the action value corresponding to the energy storage device performing the energy storage regulation action at the sampling time is determined based on the adjusted power and the rated power of the target transformer.

[0180] In one exemplary embodiment, the energy storage regulation module 30 is specifically used for:

[0181] Based on the current operating data, determine the current load state of the target transformer; based on the current energy storage, determine the current control state of the energy storage device; determine whether the current load state and the current control state meet the energy storage control conditions; wherein, the energy storage control conditions are that the current load state indicates that the target transformer is not in an abnormal load state, and the current control state indicates that the energy storage device can perform charging and discharging processing; based on the judgment results, the current time, the current energy storage state, and the operation control strategy table, determine the energy storage control strategy.

[0182] In one exemplary embodiment, the energy storage regulation module 30 is specifically used for:

[0183] If the judgment result indicates that the energy storage regulation conditions are met, the energy storage regulation strategy is determined based on the current time, the current energy storage status, and the operation control strategy table. If the judgment result indicates that the energy storage regulation conditions are not met, the standard regulation strategy associated with the current load status and the current regulation status is used as the energy storage regulation strategy.

[0184] Each module in the aforementioned power grid energy storage and control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0185] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 8As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores device operating data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When the computer program is executed by the processor, it implements a power grid energy storage regulation method.

[0186] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0187] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0188] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0189] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0190] It should be noted that the data involved in this application (including but not limited to equipment operation data) are all data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0191] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0192] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0193] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A power grid energy storage regulation method, characterized in that, The method includes: In response to power grid control events, the system acquires the current operating data of the target transformer, the current energy storage capacity of the energy storage devices associated with the target transformer, and the operating control strategy table corresponding to the current time period. Determine the current energy storage state corresponding to the current energy storage capacity; Based on the current operating data, the current energy storage status, and the operating control strategy table, an energy storage regulation strategy is determined, and the energy storage device is regulated according to the energy storage regulation strategy. The operation control strategy table includes action value groups corresponding to different sampling times; each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time; the energy storage regulation action is to adjust the charging and discharging power ratio of the energy storage device; the charging and discharging power ratio is the ratio between the charging and discharging power of the energy storage device during the charging and discharging process and the maximum power of the energy storage converter in the energy storage device; The operation control strategy table is constructed in the following manner: Acquire sample data at different sampling times within a sample period; wherein, the sample data at each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at the sampling time; the time characteristics corresponding to the sample period are the same as the time characteristics corresponding to the current period. For each sampling time, based on the energy stored in the energy storage device at that sampling time and the energy storage range corresponding to each preset energy storage state, a target energy storage state corresponding to the sampling time is selected from each preset energy storage state; and, For each energy storage regulation action, a power adjustment parameter is determined based on the energy storage regulation action and the maximum power of the target transformer; the adjusted power is determined based on the power adjustment parameter and the average apparent power of the target transformer at the sampling time; and the action value corresponding to the energy storage device performing the energy storage regulation action at the sampling time is determined based on the adjusted power and the rated power of the target transformer. Based on the target energy storage state at different sampling times and the action value corresponding to each energy storage regulation action performed by the energy storage device, an operation control strategy table is constructed.

2. The method according to claim 1, characterized in that, The step of determining the energy storage regulation strategy based on the current operating data, the current energy storage status, and the operating control strategy table includes: Based on the current operating data, determine the current load status of the target transformer; Based on the current stored energy, determine the current control state of the energy storage device; Determine whether the current load state and the current control state meet the energy storage control conditions; wherein, the energy storage control conditions are that the current load state indicates that the target transformer is not in an abnormal load state, and the current control state indicates that the energy storage device can perform charging and discharging processing; Based on the judgment result, the current time, the current energy storage state, and the operation control strategy table, the energy storage regulation strategy is determined.

3. The method according to claim 2, characterized in that, The step of determining the energy storage regulation strategy based on the judgment result, the current time, the current energy storage state, and the operation control strategy table includes: If the judgment result is that the energy storage regulation conditions are met, the energy storage regulation strategy is determined based on the current time, the current energy storage state, and the operation control strategy table. If the determination result is that the energy storage control conditions are not met, the standard control strategy associated with the current load state and the current control state shall be used as the energy storage control strategy.

4. A power grid energy storage and control device, characterized in that, The device includes: The data acquisition module is used to respond to power grid control events by acquiring the current operating data of the target transformer, the current energy storage of the energy storage device associated with the target transformer, and the operation control strategy table corresponding to the current time period. A state determination module is used to determine the current energy storage state corresponding to the current energy storage; An energy storage regulation module is used to determine an energy storage regulation strategy based on the current operating data, the current energy storage state, and the operating control strategy table, and to regulate the energy storage device according to the energy storage regulation strategy. The operating control strategy table contains action value groups corresponding to different sampling times. Each action value group corresponding to a sampling time includes the action value when the energy storage device performs different energy storage regulation actions under different energy storage states at the sampling time. The energy storage regulation action is to adjust the charge / discharge power ratio of the energy storage device. The charge / discharge power ratio is the ratio between the charge / discharge power of the energy storage device during the charge / discharge process and the maximum power of the energy storage converter in the energy storage device. A construction module is used to acquire sample data at different sampling times within a sample period. The sample data at each sampling time includes the average apparent power of the target transformer, the stored energy of the energy storage device, and the charge / discharge power ratio of the energy storage device at that sampling time. The time characteristics corresponding to the sample period are the same as those corresponding to the current period. For each sampling time, based on the stored energy of the energy storage device at that sampling time and the stored energy range corresponding to each preset energy storage state, a target energy storage state corresponding to the sampling time is selected from each preset energy storage state. Furthermore, for each energy storage control action, a power adjustment parameter is determined based on the energy storage control action and the maximum power of the target transformer. The adjusted power is determined based on the power adjustment parameter and the average apparent power of the target transformer at the sampling time. The action value corresponding to the energy storage device performing the energy storage control action at the sampling time is determined based on the adjusted power and the rated power of the target transformer. An operation control strategy table is constructed based on the target energy storage state at different sampling times and the action value corresponding to the energy storage device performing each energy storage control action.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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