Active power regulation and control method, device and equipment based on electrochemical energy storage power station and medium

Abstract

The invention discloses an active power regulation and control method, device and equipment based on an electrochemical energy storage power station, and a medium, and relates to the technical field of active power control of the electrochemical energy storage power station, the regulation and control method comprises the steps: obtaining the required power and the current actual output of the whole energy storage power station, and according to the required power and the current actual output, obtaining the required power of the whole energy storage power station; determining an applicable power adjustment strategy to extract active output data of the whole station of the corresponding energy storage power station, and calculating a pre-running instruction corresponding to each energy storage converter in the whole station of the energy storage power station based on the active output data, the required power and the current actual output; and then the SOC margin of a battery stack controlled by the energy storage converter is used to correct each pre-operation instruction to obtain a corrected total station execution instruction so as to control the operation of each energy storage converter of the total station. According to the regulation and control method, instruction execution deviation caused by charging and discharging efficiency and real-time state difference can be effectively reduced, and accurate regulation and control of the active power of the energy storage power station and balanced operation of equipment are realized.

Description

Technical Field

[0001] The present invention generally relates to the technical field of active power control of electrochemical energy storage power stations, and specifically relates to an active power control method, device, equipment and medium based on an electrochemical energy storage power station. Background Art

[0002] Currently, during the operation of an electrochemical energy storage power station, the energy management system (EMS) of the energy storage power station receives station-wide automatic generation control (AGC) instructions from the dispatching system and decomposes the station-wide AGC instructions to the power conversion system (PCS) under each energy storage unit for execution.

[0003] At present, commonly used instruction decomposition methods include the equal proportion method, the equal margin method, and the battery state of capacity (SOC) balancing method. However, these methods are not fully adapted to the dynamic characteristics and real-time operation constraints of energy storage converters. It is very easy for the energy storage converter to have deviations in the execution of operating instructions, resulting in a mismatch between the actual output of the energy storage system and the grid frequency regulation requirements, and delayed or excessive frequency adjustment, thereby exacerbating grid frequency fluctuations. In the context of large-scale grid connection and frequent calls of energy storage, the existing methods are no longer applicable. Summary of the Invention

[0004] In view of the above-mentioned defects or deficiencies in the prior art, it is desired to provide an active power control method, device, equipment and medium based on an electrochemical energy storage power station.

[0005] In a first aspect, the present invention provides an active power control method based on an electrochemical energy storage power station, the control method comprising: Obtaining the required power and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the required power and the current actual output; extracting the corresponding active output data of the entire energy storage power station based on the determined power adjustment strategy, and calculating advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active output data, the required power, and the current actual output; wherein the current actual output is the actual output of the entire energy storage power station at the current moment; The SOC margin of the battery stack controlled by each energy storage converter is obtained, and each of the pre-instructions is corrected according to the SOC margin to obtain a corrected full-station execution instruction; the full-station execution instruction is used to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0006] According to the technical solution provided by the present invention, determining an applicable power adjustment strategy based on the required power and the current actual output includes: When the required power is greater than the current actual output, determining that the power adjustment strategy is an increase power adjustment strategy; Alternatively, when the required power is less than the current actual output, the power adjustment strategy is determined to be a power reduction adjustment strategy.

[0007] According to the technical solution provided by the present invention, according to the determined power adjustment strategy, the active power output data of the corresponding energy storage power station is extracted, and based on the active power output data, the required power and the current actual output, the advance instructions corresponding to each energy storage converter in the energy storage power station are calculated, including: Obtaining the power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, extracting first active output data, and calculating the power increase margin of the entire station based on the first active output data; the first active output data at least includes: a historical maximum active output and actual active power of each of the energy storage converters; Calculating a demand-adjusted power according to the demand power and the current actual output, and obtaining a first power adjustment factor based on the station-wide power margin and the demand-adjusted power; The advance instruction corresponding to each energy storage converter is obtained by calculation according to the actual active power and the historical maximum active output corresponding to each energy storage converter, and the first power adjustment factor.

[0008] According to the technical solution provided by the present invention, according to the determined power adjustment strategy, the active power output data of the corresponding energy storage power station is extracted, and based on the active power output data, the required power and the current actual output, the advance instructions corresponding to each energy storage converter in the energy storage power station are calculated, including: Obtain the power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, extract second active output data, and calculate the power reduction margin of the entire station based on the second active output data; the second active output data at least includes: a historical minimum active output value and actual active power of each of the energy storage converters; Calculating a demand-reduced adjusted power according to the required power and the current actual output, and obtaining a second power adjustment factor based on the station-wide power reduction margin and the demand-reduced adjusted power; The advance instruction corresponding to each energy storage converter is obtained by calculation according to the actual active power and the historical minimum active output corresponding to each energy storage converter, and the second power adjustment factor.

[0009] According to the technical solution provided by the present invention, the SOC margin of the battery stack controlled by each energy storage converter is obtained, and each pre-execution instruction is corrected according to the SOC margin to obtain a corrected full-station execution instruction, including: Obtaining the SOC margin of the battery stack controlled by each of the energy storage converters; Based on the SOC margin of each battery stack, calculating the SOC margin variance of the battery stacks controlled by all energy storage converters in the energy storage power station; If it is determined that the SOC margin variance is greater than a first preset threshold, performing paired averaging processing on advance instructions of the energy storage converter corresponding to the maximum SOC margin and the minimum SOC margin in the battery stack to obtain a corrected advance instruction; According to the revised advance instructions, the advance instructions of the remaining energy storage converters in the entire energy storage power station are adjusted to obtain the final execution instructions for the entire station.

[0010] According to the technical solution provided by the present invention, the SOC margin of the battery stack controlled by each energy storage converter is obtained, and each pre-execution instruction is corrected according to the SOC margin to obtain a corrected full-station execution instruction, which also includes: If it is determined that the SOC margin variance is less than or equal to the first preset threshold, the pre-execution instruction corresponding to each of the energy storage converters is used as the whole station execution instruction.

[0011] According to the technical solution provided by the present invention, determining an applicable power adjustment strategy based on the required power and the current actual output includes: When the required power is equal to the current actual output, the power adjustment strategy is determined to be no power adjustment.

[0012] In a second aspect, the present invention provides an active power control device based on an electrochemical energy storage power station, comprising: An acquisition module is used to obtain the required power and current actual output of the energy storage power station, and determine an applicable power adjustment strategy based on the required power and the current actual output; a calculation module configured to extract active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculate advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the required power, and the current actual output; A correction module is used to obtain the SOC margin of the battery stack controlled by each energy storage converter, and to correct each of the pre-instructions according to the SOC margin to obtain a corrected full-station execution instruction; and to use the full-station execution instruction to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0013] According to the technical solution provided by the present invention, the acquisition module is also used to determine that the power adjustment strategy is an increase power adjustment strategy when the required power is greater than the current actual output; or, when the required power is less than the current actual output, determine that the power adjustment strategy is a decrease power adjustment strategy.

[0014] According to the technical solution provided by the present invention, the calculation module is also used to obtain the power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, the first active output data is extracted, and the power increase margin of the entire station is calculated based on the first active output data; the first active output data at least includes: the historical maximum active output and the actual active power of each of the energy storage converters; the demand adjustment power is calculated based on the demand power and the current actual output, and the first power adjustment factor is obtained based on the power increase margin of the entire station and the demand adjustment power; the advance instruction corresponding to each of the energy storage converters is calculated based on the actual active power and the historical maximum active output corresponding to each of the energy storage converters, as well as the first power adjustment factor.

[0015] According to the technical solution provided by the present invention, the calculation module is also used to obtain the power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, the second active output data is extracted, and the power reduction margin of the entire station is calculated based on the second active output data; the second active output data at least includes: the historical minimum active output and the actual active power of each of the energy storage converters; the demand reduction adjustment power is calculated based on the demand power and the current actual output, and the second power adjustment factor is obtained based on the power reduction margin of the entire station and the demand reduction adjustment power; the advance instruction corresponding to each of the energy storage converters is calculated based on the actual active power and the historical minimum active output corresponding to each of the energy storage converters, as well as the second power adjustment factor.

[0016] According to the technical solution provided by the present invention, the correction module is further used to calculate the SOC margin variance of the battery stacks controlled by all energy storage converters in the entire energy storage power station based on the SOC margin of each battery stack; if it is determined that the SOC margin variance is greater than a first preset threshold, the advance instructions of the energy storage converter corresponding to the maximum SOC margin and the minimum SOC margin in the battery stack are paired and averaged to obtain corrected advance instructions; according to the corrected advance instructions, the advance instructions of the remaining energy storage converters in the entire energy storage power station are adjusted to obtain the final execution instructions for the entire station.

[0017] According to the technical solution provided by the present invention, the correction module is further used to determine if the SOC margin variance is less than or equal to the first preset threshold, and then use the pre-execution instruction corresponding to each of the energy storage converters as the whole station execution instruction.

[0018] According to the technical solution provided by the present invention, the acquisition module is used to determine that the power adjustment strategy is not to perform power adjustment when the required power is equal to the current actual output.

[0019] In a third aspect, the present invention provides a terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0020] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program, which implements the steps of the above method when executed by a processor.

[0021] In summary, the present technical solution specifically discloses a method, device, equipment and medium for controlling active power based on an electrochemical energy storage power station. The control method includes: obtaining the required power and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the required power and current actual output; extracting the corresponding active output data of the entire energy storage power station according to the determined power adjustment strategy, and calculating the advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active output data, required power and current actual output; wherein the current actual output is the actual output of the entire energy storage power station at the current moment; obtaining the SOC margin of the battery stack controlled by each energy storage converter, and correcting each advance instruction based on the SOC margin to obtain a corrected full-station execution instruction; using the full-station execution instruction to control the operation of each energy storage converter to achieve active power control of the entire energy storage power station.

[0022] Existing AGC instruction decomposition methods cannot accurately determine the differences in the charging and discharging efficiency and real-time status of each energy storage converter, resulting in deviations in the execution of operating instructions for the energy storage converter, thereby exacerbating grid frequency fluctuations. The present invention compares the required power corresponding to the AGC target instruction with the current actual output of the entire energy storage power station, accurately selecting a power increase or power decrease adjustment strategy. At the same time, when calculating the pre-instructions, the corresponding active output data of the entire energy storage power station is introduced, and the overall power demand is allocated according to the difference between the equipment potential and the current status. Finally, by obtaining the SOC margin of the battery stack controlled by each energy storage converter, the instruction allocation scheme is dynamically optimized. This control method can effectively reduce the instruction execution deviation caused by differences in charging and discharging efficiency and real-time status, and achieve precise control of the active power of the entire energy storage power station and balanced operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 The figure is a flow chart of an active power control method based on an electrochemical energy storage power station.

[0024] Figure 2 Schematic diagram of the expanded flow of step S100 in the active power control method based on the electrochemical energy storage power station.

[0025] Figure 3 Schematic diagram of an expanded flow chart of step S200 in the active power control method based on an electrochemical energy storage power station.

[0026] Figure 4 This is another expanded flow chart of step S200 in the active power control method based on an electrochemical energy storage power station.

[0027] Figure 5 This is a schematic diagram of an expanded flow chart of step S300 in the active power control method based on an electrochemical energy storage power station.

[0028] Figure 6 This is another expanded flow chart of step S300 in the active power control method based on an electrochemical energy storage power station.

[0029] Figure 7 The diagram is a structural diagram of an active power control device based on an electrochemical energy storage power station.

[0030] Figure 8 This is a functional block diagram of a terminal device.

[0031] Numbers in the figure: 500, terminal device; 501, CPU; 502, ROM; 503, RAM; 504, bus; 505, I / O interface; 506, input part; 507, output part; 508, storage part; 509, communication part; 510, drive; 511, removable medium; 600, control device; 601, acquisition module; 602, calculation module; 603, correction module. DETAILED DESCRIPTION

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are intended only to illustrate the relevant invention and are not intended to limit the invention. It should also be noted that, for ease of description, only portions relevant to the invention are shown in the accompanying drawings.

[0033] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0034] Example 1 In order to make the technical solutions of the embodiments of the present invention clearer and easier to understand, the following introduces the application background of the embodiments of the present invention.

[0035] With the increasing installed capacity of renewable energy and grid-connected power generation, the intermittent, random, and uncertain nature of renewable energy generation poses significant challenges to the safe and stable operation of the power grid. New energy storage is a key means of addressing the power system's lack of flexible adjustment resources and improving system operational control. By the end of 2024, the cumulative installed capacity of new energy storage projects completed and operational nationwide will reach 73.76 million kilowatts, an increase of over 130% from the end of 2023. The dispatch and utilization of new energy storage continues to improve, reaching approximately 1,000 equivalent hours in 2024. New energy storage plays a significant role in promoting the development and absorption of renewable energy, ensuring peak power supply, and ensuring the safe and stable operation of the power system.

[0036] Currently, during the operation of an electrochemical energy storage power station, the energy management system (EMS) receives station-wide automatic generation control (AGC) instructions from the dispatching system. After comprehensively considering factors such as constraints and fault alarms, it decomposes the station-wide AGC instructions to the power conversion system (PCS) under each energy storage unit for execution. Common instruction decomposition methods currently used include the equal proportion method, the equal margin method, and the battery state of capacity (SOC) balancing method. These methods are simple in principle and easy to implement, but they do not comprehensively consider the relationship between the active power margin and SOC margin of each PCS. They cannot accurately determine the differences in the charging and discharging efficiency and real-time status of each PCS, and lack a command correction mechanism of "pre-issuance execution-result analysis-feedback correction". Therefore, existing methods are no longer applicable in the context of large-scale grid-connected energy storage and frequent calls.

[0037] Specifically, the introduction to the application background can be understood through the following explanations.

[0038] AGC is a crucial component of power system automation. Its core objective is to maintain grid frequency stability and control the power of inter-regional interconnection lines by automatically adjusting the output of generators (or energy storage plants). An AGC instruction is typically a specific power value (measured in MW), indicating the output target that the energy storage plant should achieve at a given moment in order to participate in the grid's frequency regulation, peak regulation, or power balancing. This instruction is typically generated by the grid dispatching center (or higher-level energy management system) based on the grid's real-time operational needs (such as load changes, frequency fluctuations, and fluctuations in renewable energy output). It is then transmitted to the energy storage plant via the communication system. Upon receiving the instruction, the plant adjusts the battery charge and discharge status through the control system, enabling the entire plant's output to rapidly track the target value, thereby providing dynamic support for the grid.

[0039] An entire energy storage power station is generally composed of multiple independent energy storage units, and each energy storage unit is configured with an indefinite number of PCSs. Each PCS controls multiple battery clusters. Therefore, after the energy storage power station's entire control layer receives the AGC command, it will control each PCS to respond to the corresponding control command by decomposing the AGC command. The existing equal proportion method, equal margin method, and battery state of capacity (SOC) balancing method have varying degrees of disadvantages in command decomposition. For example, the equal proportion method and equal margin method can easily cause some PCSs to overload or batteries to overcharge or over-discharge, shortening battery life. The battery state of capacity balancing method ignores the differences in battery charging and discharging efficiency, which can easily lead to power distribution deviations in actual application.

[0040] In view of this, the present invention proposes an active power control method based on an electrochemical energy storage power station, which includes: obtaining the required power and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the required power and the current actual output; extracting the corresponding active output data of the entire energy storage power station according to the determined power adjustment strategy, and calculating the advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active output data, the required power and the current actual output; wherein the current actual output is the actual output of the entire energy storage power station at the current moment; obtaining the SOC margin of the battery stack controlled by each energy storage converter, and correcting each advance instruction according to the SOC margin to obtain a corrected full-station execution instruction; and using the full-station execution instruction to control the operation of each energy storage converter to achieve active power control of the entire energy storage power station.

[0041] It can be seen that the present invention is based on the above-mentioned existing problems. First, according to the differences in the upper and lower limits of the historical output of each PCS, based on the corresponding active output data, "preliminary instructions" that meet the actual capabilities of each device are dynamically constructed to avoid overload or protection false triggering caused by over-allocation of instructions, thereby improving system reliability; secondly, the active output data, required power and current actual output that can reflect the real-time operating data of the electrochemical energy storage power station are used to calculate the SOC change rate of the battery stack controlled by each PCS after the "preliminary instructions" are issued, and the SOC margin of the battery stack controlled by each PCS is obtained by variance analysis. The SOC margin deviation of the battery cluster after the instruction is executed is comprehensively evaluated, so that each battery cluster operates in the optimal state; finally, the SOC margin of the battery stack controlled by each PCS is fed back to the active power decomposition layer to quickly correct the "preliminary instructions", forming a good balance between the accuracy of instruction issuance and the simplicity of calculation, and further improving the consistency of the SOC of each battery cluster on the basis of the active power distribution "according to PCS capability".

[0042] Below, please refer to Figure 1 The flow chart of a method for controlling active power based on an electrochemical energy storage power station provided in this embodiment is shown to further explain the steps of the present invention. The control method includes the following steps: S100, obtaining the required power and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the required power and current actual output; The execution entity of the embodiment of the present invention can be the control layer of the entire electrochemical energy storage power station or the energy management system of the energy storage power station. It can receive the AGC target instructions issued by the power grid dispatching center (or the upper-level energy management system), thereby controlling and adjusting the PCS configured for each energy storage unit in the entire energy storage power station to perform power adjustment according to the corresponding execution instructions, thereby achieving the output target that the entire energy storage power station should achieve at a certain moment and maintaining the stability of the power grid frequency.

[0043] It should be noted that the power demand in the embodiment of the present invention is the content displayed by the AGC target instruction issued by the power grid dispatching center. The power demand is the specific value of the power regulation power required by the entire energy storage power station generated by the power grid dispatching center based on parameters such as power grid load demand and frequency regulation demand. It is recorded here as In actual situations, after receiving the AGC target instruction from the grid dispatching center, the energy management system of the energy storage power station can parse the content of the target instruction to obtain the specific required power. The current actual output of the entire energy storage power station refers to the power value actually output to the grid (or absorbed from the grid) through battery charging and discharging at the current moment, which is recorded here as .

[0044] Combining the above, the actual output of the entire energy storage power station at the current moment and the required power indicated by the AGC target instruction are ultimately obtained through the sensor layer and data acquisition unit of the superior energy management system. This can confirm the power regulation direction of the energy storage power station and determine the applicable power adjustment strategy.

[0045] In a preferred embodiment, see Figure 2 , step S100 is expanded to include: S101. When the required power is greater than the current actual output, determining that the power adjustment strategy is an increase power adjustment strategy; Combined with the above example, at this time, the required power value obtained after parsing the AGC target instruction is greater than the current actual output of the energy storage power station, that is, , indicating that the grid needs to increase the discharge power of the entire energy storage power station, and the power increase adjustment strategy can be directly selected. For example, if the AGC instruction is -800kW (the data here is a negative value, used to indicate that the AGC instruction is a discharge instruction, and the actual output is calculated according to its absolute value), and the actual output is -500kW, it means that the power increase adjustment strategy needs to be selected at this time.

[0046] Alternatively, in S102 , when the required power is less than the current actual output, the power adjustment strategy is determined to be a power reduction adjustment strategy.

[0047] At this time, the required power value is less than the actual output of the energy storage power station, that is, , indicating that the grid needs the entire energy storage power station to reduce discharge power (or increase charging power), then the power reduction adjustment strategy can be directly adopted. For example, if the AGC instruction is +300kW (the data here is a positive value, used to indicate that the AGC instruction is a charging instruction) and the actual output is +500kW, it means that the power reduction adjustment strategy needs to be selected at this time.

[0048] In a preferred embodiment, the comparison result between the AGC target instruction and the current actual output of the entire energy storage power station also includes the case where the two are the same, that is, Therefore, in the embodiment of the present invention, it also includes: when the required power is equal to the current actual output, determining the power adjustment strategy as not performing power adjustment.

[0049] When the AGC target command is equal to the actual output, it means that the entire energy storage power station has entered a dynamic equilibrium state, which generally exhibits the following characteristics: Feature 1: Power balance: The real-time output power of each energy storage unit, PCS, and battery pack matches the target demand of grid dispatch, achieving "zero deviation" operation; Feature 2: Stability maintenance: The system does not stop working, but instead offsets small power deviations caused by factors such as grid fluctuations and battery parameter changes through continuous monitoring and fine-tuning; Feature 3, Task Switching: Control priority shifts from "power tracking" to battery health management, efficiency optimization, and backup response, preparing for possible subsequent power adjustments.

[0050] As can be seen, based on the AGC target instructions and the current actual output of the entire energy storage power station, three scenarios can be obtained: a power increase adjustment strategy, a power decrease adjustment strategy, and no power adjustment. To address these different scenarios, the present invention proposes an equal-margin active power decomposition method that considers the historical output data of each PCS based on the differences in the upper and lower limits of the historical output of each PCS, thereby forming a "pre-command," specifically including the following: S200, extracting active power output data of the corresponding energy storage power station according to the determined power adjustment strategy, and calculating advance instructions corresponding to each energy storage converter in the energy storage power station based on the active power output data, the required power, and the current actual output; The Power Conversion System (PCS) is a core power electronic device that connects energy storage batteries to the grid / load. Its core function is to achieve bidirectional conversion and precise control of electrical energy. For example, when a pre-command requires a PCS to discharge at 200kW, the PCS converts the battery's DC power into AC power through an inverter circuit and controls the output power to precisely match the command value.

[0051] After determining the power adjustment strategy (either a power increase or power decrease strategy), the energy storage power station needs to rationally distribute the required power to each energy storage converter, thereby generating advance instructions corresponding to each energy storage converter. Therefore, this step is divided into the generation of advance instructions under the power increase strategy and the power decrease strategy, which are described in detail below.

[0052] Specifically, see Figure 3, the generation of advance instructions under the power-up adjustment strategy is carried out through the following steps: S201. Obtain a power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, obtain first active output data and calculate a power increase margin for the entire station based on the first active output data. The first active output data includes at least the historical maximum active output and the actual active power of each energy storage converter. First, the active power output data of the entire energy storage power station refers to the actual active power output value of the energy storage power station in a specific time period. The active power value can be obtained through recording or monitoring statistics, which is used to reflect the effective electric power transmitted by the energy storage power station to the power grid (or load) at different times; the power margin of the entire station is used to characterize the potential for increasing the overall active power of the energy storage power station. It can be calculated based on the following formula (2), which will not be repeated here.

[0053] Now, returning to this solution, when the power increase adjustment strategy is selected, the active output data of the corresponding energy storage power station is obtained according to the grid demand, which is the first active output data. In practical applications, the first active output data can be obtained from the energy storage power station operation database. This first active output data is used to calculate the power increase margin of the entire station. This data includes at least: the historical maximum active output of each energy storage converter. The historical maximum active output reflects the maximum output capacity of the PCS under ideal operating conditions and is a key reference for evaluating the margin. In addition, this first active output data may also include: the rated power and actual active power of the PCS, as well as the rated power and actual output of the entire station, etc., without special restrictions here.

[0054] Combined with the actual application scenario, the energy storage power station is assumed to consist of m An independent energy storage unit is composed of n PCS, each PCS controls p Taking a cluster battery group as an example, the power increase margin of each PCS can be obtained, and thus the power increase margin of the entire station can be calculated.

[0055] First, based on the first active power output data, the second active power output can be calculated according to the following formula (1): j The first energy storage unit i Power margin per PCS : Formula (1); In formula (1): Expressed as j The first energy storage unit i Rated power of each PCS; For the j The first energy storage unit iThe actual active power of each PCS; Expressed as j The first energy storage unit i The historical maximum active power output of each PCS; 0.9 is the empirical coefficient for balancing "equipment utilization" and "safety redundancy".

[0056] Based on the obtained i Power margin per PCS The power margin of the entire station can be calculated by the following formula (2): : Formula (2); in, m Represents the total number of independent energy storage units, n Indicates the total number of PCSs configured for each energy storage unit.

[0057] S202: Calculate the increased demand adjustment power based on the demand power and the current actual output, and obtain a first power adjustment factor based on the total station increased power margin and the increased demand adjustment power; The required power can be obtained from the AGC target instruction issued by the grid dispatching center, and the current actual output of the energy storage power station is It can be calculated by the following formula (3): Formula (3); Finally, the power needs to be adjusted It is calculated by the following formula (4): Formula (4); Then, based on the power margin of the entire station The power needs to be adjusted , the first power adjustment factor is calculated by the following formula (5): S 1; Formula (5).

[0058] S203, calculating a pre-command corresponding to each energy storage converter based on the actual active power and historical active output maximum value corresponding to each energy storage converter, and a first power adjustment factor; Here, the historical maximum active output can reflect the potential upper limit of PCS. The actual active power refers to the active power value actually output by the power equipment (such as energy storage power station) to the grid or load. It can be used to judge the current load of each energy storage converter and then use the first power adjustment factor S 1. Assign reasonable advance instructions to each energy storage converter.

[0059] Specifically, according to the actual active power , the first power adjustment factor S 1 and the corresponding historical maximum active output The advance instruction of each energy storage converter is calculated by the following formula (6): .

[0060] Formula (6).

[0061] See below. Figure 4 , the generation of advance instructions under the power reduction adjustment strategy is carried out through the following steps: S204: Obtain a power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, obtain second active output data and calculate a power reduction margin for the entire station based on the second active output data. The second active output data includes at least: a historical minimum active output value and actual active power of each energy storage converter. Following the introduction to active power output data above, the power reduction margin of the entire station here refers to the maximum value of the active power that can be additionally reduced by the energy storage power station under the current operating state. It is used to reflect the adjustment ability of the power station to actively reduce active power output (such as sending less power to the grid and charging more). It can be calculated based on the following formula (8) and will not be repeated here.

[0062] Next, when the power reduction adjustment strategy is selected, the corresponding energy storage power station's active output data is obtained according to grid demand, which is the second active output data. This second active output data can also be obtained from the energy storage power station operation database. This second active output data is used as the basis for calculating the power reduction margin of the entire station under this strategy. It includes at least the historical minimum active output value of each energy storage converter. The historical minimum active output value reflects the stable output capability of the PCS under extreme operating conditions. The second active output data can also include the rated power and actual active power of the PCS, as well as the rated power and actual output of the entire station, etc., without special restrictions here.

[0063] Now the entire energy storage power station is also composed of m An independent energy storage unit is composed of n PCS, each PCS controls p Taking a cluster battery group as an example, the power reduction margin of each PCS can be obtained, thereby calculating the power reduction margin of the entire station.

[0064] Based on the second active power output data, the second active power output can be calculated according to the following formula (7): j The first energy storage unit i Power reduction margin of each PCS : Formula (7); In formula (7): Expressed as j The first energy storage unit i The historical minimum active power output of the PCS.

[0065] Based on the obtained i Power reduction margin of each PCS , the power reduction margin of the entire station can be calculated by the following formula (8): : Formula (8); S205. Calculate the demand-reduced adjusted power based on the demand power and the current actual output, and obtain a second power adjustment factor based on the station-wide power reduction margin and the demand-reduced adjusted power. The required power can be obtained from the AGC target instruction issued by the grid dispatching center, and the current actual output of the energy storage power station is The final demand-reduction adjustment power is calculated based on the above formulas (3) and (4). Because these are two different power adjustment strategies based on the comparison between the demand power and the actual output of the energy storage power station, the demand-reduction adjustment power calculated here should be .

[0066] Next, based on the power margin of the entire station and power adjustment with reduced demand , the second power adjustment factor is calculated by the following formula (9): S 2; Formula (9).

[0067] S206 , calculating and obtaining a corresponding advance instruction for each energy storage converter based on the actual active power and the historical minimum active power output corresponding to each energy storage converter, as well as the second power adjustment factor.

[0068] Here, the historical minimum active output can reflect the stable output capability of PCS, and the actual active power can be used to judge the current load of each energy storage converter, and then use the second power adjustment factor S 2. Assign reasonable advance instructions to each energy storage converter.

[0069] Specifically, according to the actual active power , the second power adjustment factor S 2 and the corresponding historical minimum active power output The advance instruction of each energy storage converter is calculated by the following formula (10): .

[0070] Formula (10).

[0071] Based on the foregoing, the present invention can accurately select a power-up adjustment strategy or a power-down adjustment strategy based on the comparison result between the demand power indicated by the AGC target instruction and the current actual output of the entire energy storage power station, and clearly define the adjustment direction. Similarly, when calculating the advance instruction, the historical maximum active output or historical minimum active output corresponding to each energy storage converter and the actual active power are introduced, and combined with the first power adjustment factor or the second power adjustment factor, the overall power demand is allocated according to the difference between the equipment potential and the current state. This ensures that the PCS with a larger adjustable amount of active power has a larger adjustment amount allocated, which can effectively improve the adjustment efficiency and response speed of the entire energy storage power station, thereby optimizing the equipment life and cost.

[0072] S300. Obtain the SOC margin of the battery stack controlled by each energy storage converter, modify each pre-command based on the SOC margin, and obtain a modified station-wide execution command; use the station-wide execution command to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0073] Considering the differences in energy efficiency among battery clusters in an energy storage power station during the long-term, unified charging and discharging process, in order to ensure that each battery cluster operates in the optimal state, in an embodiment of the present invention, after calculating the advance instructions, it is necessary to comprehensively evaluate the deviation of the battery cluster SOC margin after the instructions are executed based on the variance of the SOC margin of each battery cluster after the instructions are issued. The advance instructions are further corrected to obtain the final execution instructions that are reasonably distributed to each PCS, thereby achieving precise control of the active power of the entire energy storage power station and balanced operation of the equipment.

[0074] Specifically, see Figure 5 and Figure 6 , step S300 includes the following steps: S301, obtaining the SOC margin of the battery stack controlled by each energy storage converter; S302. Based on the SOC margin of each battery stack, calculate the SOC margin variance of the battery stacks controlled by all energy storage converters in the energy storage power station; S303: If it is determined that the SOC margin variance is greater than a first preset threshold, performing paired averaging processing on the advance instructions of the energy storage converter corresponding to the maximum SOC margin and the minimum SOC margin in the battery stack to obtain a corrected advance instruction; S304: According to the revised pre-command, adjust the pre-commands of the remaining energy storage converters in the entire energy storage power station to obtain the final execution command for the entire station.

[0075] The method further includes: S305 , determining that if the SOC margin variance is less than or equal to a first preset threshold, taking the pre-execution instruction corresponding to each energy storage converter as the whole station execution instruction.

[0076] It should be noted that both power adjustment strategies are applicable to the above adjustment method, and the SOC margin is used in the embodiment of the present invention to reflect the remaining charge / discharge capacity of the battery cluster energy storage, which is calculated by the following formula (11) and formula (12).

[0077] Regarding step S300: Under the power increase adjustment strategy: According to the definition, power increase can be described as a process of charging with high power - charging with low power - discharging with low power - discharging with high power. It is mainly related to the current state of the PCS. The overall change trend of SOC under power increase is divided into the following two types: ① If the current state is charging, it is still charging with low power after the power increase. At this time, the SOC has an upward trend, but the rate of increase is slower. ② If the current state is charging / discharging, it becomes discharging after the power increase. At this time, the SOC has a downward trend.

[0078] To calculate the SOC margin of the battery stack controlled by each PCS under the power adjustment strategy, it is necessary to first calculate the SOC margin of the battery stack controlled by each PCS according to the following formula (11): j The first energy storage unit i The next moment of the battery stack controlled by the PCS ( t +1 moment), is recorded as : Formula (11); In formula (11): for t At this moment, j The first energy storage unit i The initial SOC value of the battery stack controlled by each PCS; is the sampling time; For the j The first energy storage unit i Coulombic efficiency of battery stack controlled by PCS; is the jth energy storage unit i The battery stack capacity controlled by each PCS, For the j The first energy storage unit i Battery stack voltage controlled by each PCS; Next, the following formula (12) is used to calculate the first j The first energy storage unit i PCS controlled battery stack SOC margin .

[0079] Formula (12); In general, The smaller it is, the greater the SOC margin of the battery stack controlled by the PCS.

[0080] For example, when getting the current j The first energy storage unit i The initial SOC value of the battery stack controlled by the PCS is 60%, that is, ; After executing the pre-command, we can get ; Then the final calculation is the SOC margin have: .

[0081] SOC margin of battery stack controlled by each PCS based on power adjustment strategy The SOC margin variance of the battery stacks controlled by all PCSs in the entire station under the power adjustment strategy is calculated using the following formula (13): : Formula (13); in, is the average value of the SOC change rate of the battery stacks controlled by all PCSs in the entire station. This value can be calculated using the following formula (14): Formula (14); Next, the variance of the SOC margin of each battery cluster is used to comprehensively evaluate the SOC margin deviation of the battery cluster after the instruction is executed: if the SOC margin variance of the battery stack controlled by all PCSs in the whole station under the power adjustment strategy is , which proves that the SOC margin change of the entire station caused by the execution of the current PCS advance instruction is consistent. There is no need to correct the advance instruction. The power adjustment demand can be met by directly controlling the PCS operation with the calculated advance instruction.

[0082] like , it proves that the consistency of the SOC margin change of the entire station caused by the execution of the current PCS advance instruction is poor, and the advance instruction needs to be corrected; Among them, the first preset threshold under the power adjustment strategy is referred to as , the value can be designed according to the specific situation, for example, c Set to 0.1; the setting principle can be: if you want the active power margin of all PCSs in the whole station to be more consistent, then The value should be as large as possible; if you want the battery stacks controlled by all PCSs in the entire station to have better SOC consistency, then The value should be as small as possible.

[0083] Next, for situations that require correction, it is necessary to obtain a data set consisting of the SOC margins of the battery stacks controlled by all energy storage converters, and obtain the maximum and minimum values ​​in the set, namely the maximum SOC margin and the minimum SOC margin.

[0084] For example, the set is , and assume that the maximum SOC margin and the minimum SOC margin in this set are and , among which ,Right now After the power is increased f The first energy storage unit e The SOC margin of the battery stack controlled by the PCS, After the power is increased h The SOC margin of the battery stack controlled by the g-th PCS of the energy storage unit; In addition, and The corresponding pre-command is recorded as and .

[0085] The embodiment of the present invention uses the following formula (15) to calculate the advance instruction and Perform pairing averaging to obtain the corrected advance instructions: Formula (15); In formula (15), and Respectively f The first energy storage unit e PCS and h The actual active power of the g-th PCS of the energy storage unit; and Respectively f The first energy storage unit e PCS and h The power margin of the g-th PCS of the energy storage unit.

[0086] Based on the above description, it can be seen that in the embodiment of the present invention, the active power "increment" reflected by the advance instructions corresponding to the maximum SOC margin and the minimum SOC margin is averaged to correct the "advance instructions", and the consistency of the SOC of each battery cluster is further improved on the basis of the active power distribution "according to PCS capability".

[0087] Since the AGC target instructions of the entire energy storage power station are certain, and After the correction, it is also necessary to make some adjustments to the pre-commands of the entire site (change the pre-commands and Independent, removed from the overall distribution and ), and finally get the following formula (16) of the full station execution instruction: Formula (16).

[0088] Regarding step S300: Under the power reduction adjustment strategy: According to the definition, power reduction can be described as a process of discharging with high power, discharging with low power, charging with low power, and then charging with high power. This is mainly related to the current state of the PCS. The overall change trend of SOC under power reduction is divided into the following two types: ① If the current state is discharging, low-power discharge is still in progress after power reduction. At this time, SOC has a downward trend, but the rate of decline is slower. ② If the current state is discharging / charging, charging is changed after power reduction. At this time, SOC has an upward trend.

[0089] The SOC margin of the battery stack controlled by each PCS under the power reduction adjustment strategy can still be calculated according to formula (11), and the first SOC margin under the power reduction adjustment strategy can also be obtained by the above formula (12). j The first energy storage unit i PCS controlled battery stack SOC margin , generally speaking, The smaller it is, the greater the SOC margin of the battery stack controlled by the PCS is. SOC margin of battery stack controlled by each PCS based on power reduction adjustment strategy The SOC margin variance of the battery stacks controlled by all PCSs in the entire station under the power reduction adjustment strategy is calculated using the following formula (13): : Formula (17); Next, if the SOC margin variance of the battery stacks controlled by all PCSs in the entire station under the power reduction adjustment strategy is , which proves that the SOC margin change of the entire station caused by the execution of the current PCS advance instruction is consistent. There is no need to correct the advance instruction. The power adjustment demand can be met by directly controlling the PCS operation with the calculated advance instruction.

[0090] like , it proves that the consistency of the SOC margin change of the entire station caused by the execution of the current PCS pre-command is poor, and the pre-command needs to be corrected; among them, the first preset threshold under the power reduction adjustment strategy is referred to here as , the value can be designed according to the specific situation, for example, Also set to 0.1, if you want the active power margin of all PCSs in the whole station to be more consistent, then The value should be as large as possible; if you want the battery stacks controlled by all PCSs in the entire station to have better SOC consistency, then The value should be as small as possible.

[0091] Next, for situations that require correction, it is necessary to obtain a data set consisting of the SOC margins of the battery stacks controlled by all energy storage converters, and obtain the maximum and minimum values ​​in the set, namely the maximum SOC margin and the minimum SOC margin.

[0092] For example, the collection remains , and assume that the maximum SOC margin and the minimum SOC margin in this set are and , among which ,Right now After power reduction v The first energy storage unit u The SOC margin of the battery stack controlled by the PCS, After power reduction x The first energy storage unit w The SOC margin of the battery stack controlled by the PCS; In addition, and The corresponding pre-command is recorded as and .

[0093] Consistent with the above principle, the embodiment of the present invention uses the following formula (18) to calculate the pre-command and Perform pairing averaging to obtain the corrected advance instructions: Formula (18); In formula (15), and Respectively v The first energy storage unit u PCS and x The first energy storage unit w The actual active power of each PCS; and Respectively v The first energy storage unit u PCS and x The first energy storage unit w The power reduction margin of each PCS.

[0094] Since the AGC target instructions of the entire energy storage power station are certain, and After the correction, it is also necessary to make some adjustments to the pre-commands of the entire site (change the pre-commands and Independent, removed from the overall distribution and ), and finally the full-station execution instruction of the following formula (19) is obtained.

[0095] Formula (19).

[0096] It should be noted that, regardless of whether it is a power increase adjustment strategy or a power decrease adjustment strategy, on the basis of obtaining the corrected advance instructions, it is still necessary to re-compare the SOC margin variance with the first preset threshold according to the current advance instructions until the obtained SOC margin variance is less than the first preset threshold, and then adjust the advance instructions of the remaining energy storage converters to obtain the final full-station execution instructions.

[0097] This shows that the present invention not only uses historical data to reflect differences in equipment efficiency, but also monitors the current status of the equipment through real-time SOC margin, ultimately outputting correction instructions that fit the actual capabilities of each energy storage converter. This effectively reduces instruction execution deviations caused by differences in charging and discharging efficiency and real-time status, achieving precise control of the active power of the entire energy storage power station and balanced operation of the equipment.

[0098] Based on the above description, the present invention proposes an active power control method for an electrochemical energy storage power station. This method systematically addresses the shortcomings of existing AGC command decomposition, from determining power strategies, issuing pre-commands, analyzing control results, and providing feedback and corrections. Specifically, the method first compares the power demand indicated by the AGC target command with the actual output of the entire energy storage power station, accurately selecting a power increase or decrease strategy and clarifying the adjustment direction. Next, when calculating the pre-command, the method incorporates the historical maximum or minimum active output data of each energy storage converter, along with data such as actual output power, to calculate a first power adjustment factor or a second power adjustment factor for preliminary allocation of the pre-command. This factor allocates the overall power demand based on the difference between the device's real-time potential and its current state. Finally, the pre-command is further modified by obtaining the SOC margin of the battery stack controlled by each energy storage converter. This effectively takes into account key factors such as the health status and charge / discharge capacity of the battery cluster, dynamically optimizing the command allocation scheme.

[0099] The present invention adopts the above technical solution. On the one hand, it innovatively combines the PCS historical output data to decompose the instructions of the entire station, comprehensively considering the actual upper and lower limits of active output and ±0.9 times the rated active power of different PCSs of each energy storage unit, so that the PCS with a larger active adjustable amount is allocated a larger active adjustment amount, which can effectively ensure the adjustment efficiency and response speed of each PCS of the energy storage power station; on the other hand, the present invention also takes into account the energy efficiency differences of each battery cluster group in the energy storage power station during the long-term unified charging and discharging process. By calculating the variance of the SOC margin of each battery cluster after the "pre-instruction" is issued, the SOC margin deviation of the battery cluster after the instruction is executed is comprehensively evaluated, thereby quickly correcting the "pre-instruction". On the basis of allocating active power "according to PCS capability", the consistency of the SOC of each battery cluster is further improved, so that each battery cluster operates in the best state.

[0100] Combined with the above Figures 1-6 The active power control method based on electrochemical energy storage power station provided by the embodiment of the present invention is described in detail. Figure 7 、 Figure 8 The apparatus, device and medium provided by the embodiments of the present invention are introduced.

[0101] Based on the active power control method based on an electrochemical energy storage power station shown in Example 1, this embodiment of the present invention provides an active power control device based on an electrochemical energy storage power station. The control device 600 includes: Acquisition module 601, which is used to obtain the required power and current actual output of the energy storage power station, and determine an applicable power adjustment strategy based on the required power and current actual output; Calculation module 602 is used to extract the active power output data of the corresponding energy storage power station according to the determined power adjustment strategy, and calculate the advance instructions corresponding to each energy storage converter in the energy storage power station based on the active power output data, the required power and the current actual output; Correction module 603 is used to obtain the SOC margin of the battery stack controlled by each energy storage converter, and to correct each pre-execution instruction based on the SOC margin to obtain a corrected full-station execution instruction; the full-station execution instruction is used to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0102] In this embodiment of the present invention, the acquisition module 601 first determines the power adjustment direction based on the relationship between the required power indicated by the AGC target instruction of the entire energy storage power station and the current actual output of the entire energy storage power station, thereby selecting the corresponding power adjustment strategy (a power increase adjustment strategy or a power decrease adjustment strategy). After obtaining the corresponding power adjustment strategy, the calculation module 602 calculates the corresponding advance instructions for each energy storage converter based on the active power output data of the entire energy storage power station. The correction module 603 then determines whether the current advance instructions need to be modified based on the obtained advance instructions. If so, the advance instructions are modified according to the SOC margin of the battery stack controlled by the energy storage converter to obtain the modified execution instructions for the entire station, thereby achieving active power control of the entire energy storage power station.

[0103] In some embodiments, the acquisition module 601 is further configured to determine that the power adjustment strategy is an increase power adjustment strategy when the required power is greater than the current actual output; or to determine that the power adjustment strategy is a decrease power adjustment strategy when the required power is less than the current actual output.

[0104] In some embodiments, the calculation module 602 is also used to obtain a power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, the first active output data is extracted, and the power increase margin of the entire station is calculated based on the first active output data; the first active output data at least includes: the historical maximum active output and the actual active power of each energy storage converter; the demand adjustment power is calculated based on the demand power and the current actual output, and the first power adjustment factor is obtained based on the power increase margin and the power increase margin of the entire station; the advance instruction corresponding to each energy storage converter is calculated based on the actual active power and the historical maximum active output corresponding to each energy storage converter, as well as the first power adjustment factor.

[0105] In some embodiments, the calculation module 602 is also used to obtain a power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, the second active output data is extracted, and the power reduction margin of the entire station is calculated based on the second active output data; the second active output data at least includes: the historical minimum active output and the actual active power of each energy storage converter; the demand reduction adjustment power is calculated based on the demand power and the current actual output, and the second power adjustment factor is obtained based on the power reduction margin of the entire station and the demand reduction adjustment power; the advance instruction corresponding to each energy storage converter is calculated based on the actual active power and the historical minimum active output corresponding to each energy storage converter, as well as the second power adjustment factor.

[0106] In some embodiments, the correction module 603 is further used to calculate the SOC margin variance of the battery stacks controlled by all energy storage converters in the entire energy storage power station based on the SOC margin of each battery stack; if it is determined that the SOC margin variance is greater than a first preset threshold, the advance instructions of the energy storage converter corresponding to the maximum SOC margin and the minimum SOC margin in the battery stack are paired and averaged to obtain a corrected advance instruction; according to the corrected advance instruction, the advance instructions of the remaining energy storage converters in the entire energy storage power station are adjusted to obtain a final execution instruction for the entire station.

[0107] In some embodiments, the correction module 603 is further configured to determine if the SOC margin variance is less than or equal to a first preset threshold, and then use the pre-executed instructions corresponding to each energy storage converter as the station-wide execution instructions.

[0108] In some embodiments, the acquisition module 601 is configured to determine that the power adjustment strategy is to not perform power adjustment when the required power is equal to the current actual output.

[0109] Based on the above description, it can be seen that the acquisition module 601, calculation module 602, and correction module 603 in this embodiment of the present invention work together to construct an active power control system for an energy storage power station. These modules work together to effectively overcome the shortcomings of traditional control methods and improve system performance. Acquisition module 601 accurately selects a power adjustment strategy based on the required power and actual output presented by the AGC target command, clarifying the direction for subsequent control. Calculation module 602 allocates pre-executed commands based on device characteristics based on policy call history and real-time data, combined with power adjustment factors, addressing the problem of traditional methods ignoring device differences. Correction module 603 incorporates battery stack SOC margin to further optimize commands, taking into account the real-time status of the device and battery health, and avoiding execution errors caused by charge and discharge imbalances. These three modules form a closed-loop control system of "strategy determination - command calculation - dynamic correction," enabling refined and intelligent regulation of the energy storage power station's active power, improving grid response accuracy, ensuring safe device operation, optimizing resource utilization efficiency, and enhancing overall system reliability and stability.

[0110] The control device 600 according to the embodiment of the present invention may be configured to execute the method described in the embodiment of the present invention, and the above and other operations and / or functions of each module of the active power control device 600 are respectively for realizing Figure 1 For the sake of brevity, the corresponding process of the method in the illustrated embodiment will not be repeated here.

[0111] The present invention also provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, the steps of the active power control method based on the electrochemical energy storage power station as described in Example 1 are implemented.

[0112] In this embodiment, if Figure 8 As shown, the terminal device 500 includes a CPU (Central Processing Unit) 501, which can perform various appropriate actions and processes according to the program stored in the ROM (Read Only Memory) 502 or the program loaded from the storage part into the RAM (Random Access Memory) 503. Various programs and data required for system operation are also stored in the RAM 503. The CPU 501, ROM 502 and RAM 503 are connected to each other via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.

[0113] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output section 507 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 508 including a hard disk; and a communication section 509 including a network interface card such as a LAN card or a modem. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 510 as needed, so that computer programs read therefrom can be installed into the storage section 508 as needed.

[0114] In particular, according to an embodiment of the present invention, the above reference process diagram Figure 1 The described processes can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication component and / or installed from removable media. When the computer program is executed by CPU 501, the aforementioned functions defined in the system of the present invention are performed.

[0115] It should be noted that the computer-readable medium described in the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, RAM 503, ROM 502, an erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or component. In the present invention, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, or any suitable combination thereof.

[0116] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0117] The units involved in the embodiments of the present invention may be implemented in software or in hardware, and the units described may also be provided in a processor. The names of these units do not, in some cases, constitute a limitation on the units themselves. The units or modules described may also be provided in a processor, for example, they may be described as: a processor comprising a first generation module, an acquisition module, a search module, a second generation module, and a merging module. The names of these units or modules do not, in some cases, constitute a limitation on the units or modules themselves, for example, the acquisition module may also be described as "an acquisition module for acquiring multiple instances to be detected in the basic table."

[0118] The present invention also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments, or may exist independently and not incorporated into the electronic device. The computer-readable medium carries one or more programs. When executed by the electronic device, the one or more programs enable the electronic device to implement the active power control method for an electrochemical energy storage power station described in the above embodiments.

[0119] The above description is merely a preferred embodiment of the present invention and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in the present invention.

Claims

1. A method for controlling active power based on an electrochemical energy storage power station, characterized in that: The control method comprises: Obtaining the required power and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the required power and the current actual output; extracting the corresponding active output data of the entire energy storage power station based on the determined power adjustment strategy, and calculating advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active output data, the required power, and the current actual output; wherein the current actual output is the actual output of the entire energy storage power station at the current moment; The SOC margin of the battery stack controlled by each energy storage converter is obtained, and each of the pre-instructions is corrected according to the SOC margin to obtain a corrected full-station execution instruction; the full-station execution instruction is used to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

2. The active power control method based on the electrochemical energy storage power station according to claim 1 is characterized in that: Determining an applicable power adjustment strategy based on the required power and the current actual output includes: When the required power is greater than the current actual output, determining that the power adjustment strategy is an increase power adjustment strategy; Alternatively, when the required power is less than the current actual output, the power adjustment strategy is determined to be a power reduction adjustment strategy.

3. The active power control method based on the electrochemical energy storage power station according to claim 2 is characterized in that: According to the determined power adjustment strategy, the corresponding active power output data of the entire energy storage power station is extracted, and based on the active power output data, the required power, and the current actual output, the advance instructions corresponding to each energy storage converter in the entire energy storage power station are calculated, including: Obtaining the power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, extracting first active output data, and calculating the power increase margin of the entire station based on the first active output data; the first active output data at least includes: a historical maximum active output and actual active power of each of the energy storage converters; Calculating a demand-adjusted power according to the demand power and the current actual output, and obtaining a first power adjustment factor based on the station-wide power margin and the demand-adjusted power; The advance instruction corresponding to each energy storage converter is obtained by calculation according to the actual active power and the historical maximum active output corresponding to each energy storage converter, and the first power adjustment factor.

4. The active power control method based on an electrochemical energy storage power station according to claim 2, characterized in that: According to the determined power adjustment strategy, the corresponding active power output data of the entire energy storage power station is extracted, and based on the active power output data, the required power, and the current actual output, the advance instructions corresponding to each energy storage converter in the entire energy storage power station are calculated, including: Obtain the power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, extract second active output data, and calculate the power reduction margin of the entire station based on the second active output data; the second active output data at least includes: a historical minimum active output value and actual active power of each of the energy storage converters; Calculating a demand-reduced adjusted power according to the required power and the current actual output, and obtaining a second power adjustment factor based on the station-wide power reduction margin and the demand-reduced adjusted power; The advance instruction corresponding to each energy storage converter is obtained by calculation according to the actual active power and the historical minimum active output corresponding to each energy storage converter, and the second power adjustment factor.

5. The active power control method based on an electrochemical energy storage power station according to claim 3 or 4, characterized in that: Obtaining the SOC margin of the battery stack controlled by each of the energy storage converters, and modifying each of the pre-execution instructions according to the SOC margin to obtain a modified full-station execution instruction, including: Obtaining the SOC margin of the battery stack controlled by each of the energy storage converters; Based on the SOC margin of each battery stack, calculating the SOC margin variance of the battery stacks controlled by all energy storage converters in the energy storage power station; If it is determined that the SOC margin variance is greater than a first preset threshold, performing paired averaging processing on advance instructions of the energy storage converter corresponding to the maximum SOC margin and the minimum SOC margin in the battery stack to obtain a corrected advance instruction; According to the revised advance instructions, the advance instructions of the remaining energy storage converters in the entire energy storage power station are adjusted to obtain the final execution instructions for the entire station.

6. The active power control method based on the electrochemical energy storage power station according to claim 5 is characterized in that: Obtaining the SOC margin of the battery stack controlled by each energy storage converter, and modifying each of the pre-execution instructions according to the SOC margin to obtain a modified full-station execution instruction, further comprising: If it is determined that the SOC margin variance is less than or equal to the first preset threshold, the pre-execution instruction corresponding to each of the energy storage converters is used as the whole station execution instruction.

7. The active power control method based on an electrochemical energy storage power station according to claim 1, characterized in that: Determining an applicable power adjustment strategy based on the required power and the current actual output includes: When the required power is equal to the current actual output, the power adjustment strategy is determined to be no power adjustment.

8. An active power control device based on an electrochemical energy storage power station, characterized in that: An acquisition module is used to obtain the required power and current actual output of the energy storage power station, and determine an applicable power adjustment strategy based on the required power and the current actual output; a calculation module configured to extract active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculate advance instructions corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the required power, and the current actual output; A correction module, the correction module is used to obtain the SOC margin of the battery stack controlled by each energy storage converter, and to correct each of the pre-execution instructions according to the SOC margin to obtain a corrected full-station execution instruction; The entire station execution instruction is used to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, 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 7 are implemented.

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