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

Abstract

This invention discloses an active power regulation method, device, equipment, and medium based on an electrochemical energy storage power station, relating to the field of active power control technology for electrochemical energy storage power stations. The regulation method includes: acquiring the total power demand and current actual output of the entire energy storage power station; determining an applicable power adjustment strategy based on the power demand and current actual output to extract the corresponding active power output data of the entire energy storage power station; and calculating pre-executed commands corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, power demand, and current actual output; subsequently, correcting each pre-executed command using the SOC margin of the battery stack controlled by the energy storage converter to obtain corrected execution commands for the entire station, thereby controlling the operation of each energy storage converter in the entire station. This regulation method can effectively reduce command execution deviations caused by differences in charging and discharging efficiency and real-time status, achieving precise control of the active power of the energy storage power station and balanced operation of the equipment.

Description

Technical Field

[0001] This invention generally relates to the field of active power control technology for electrochemical energy storage power stations, and specifically to an active power regulation method, device, equipment, and medium based on electrochemical energy storage power stations. Background Technology

[0002] Currently, during the operation of an electrochemical energy storage power station, the Energy Management System (EMS) receives Automatic Generation Control (AGC) commands from the dispatch system and decomposes these AGC commands to the Power Conversion System (PCS) under each energy storage unit for execution.

[0003] Currently, commonly used command decomposition methods include the proportional method, the margin method, and the state of capacity (SOC) balancing method. However, these methods are not fully adapted to the dynamic characteristics and real-time operating constraints of energy storage converters. They are prone to deviations in the execution of operating commands by energy storage converters, resulting in a mismatch between the actual output of the energy storage system and the frequency regulation needs of the power grid, and frequency adjustment that is either lagging or excessive. This exacerbates power grid frequency fluctuations. Under the background of large-scale grid connection and frequent use 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 desirable to provide a method, device, equipment and medium for active power regulation based on electrochemical energy storage power station.

[0005] In a first aspect, the present invention provides an active power regulation method based on an electrochemical energy storage power station, the regulation method comprising:

[0006] The system acquires the required power and current actual output of the entire energy storage power station, and determines an applicable power adjustment strategy based on the required power and the current actual output. According to the determined power adjustment strategy, it extracts the corresponding active power output data of the entire energy storage power station, and calculates the pre-execution commands 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. Here, the current actual output is the actual output of the entire energy storage power station at the current moment.

[0007] The SOC margin of the battery stack controlled by each of the energy storage converters is obtained, and the pre-execution instructions are modified according to the SOC margin to obtain the modified full-station execution instructions. The full-station execution instructions are used to control the operation of each of the energy storage converters to achieve active power regulation of the entire energy storage power station.

[0008] According to the technical solution provided by the present invention, a suitable power adjustment strategy is determined based on the required power and the current actual output, including:

[0009] When the required power is greater than the current actual output, the power adjustment strategy is determined to be a power increase adjustment strategy.

[0010] 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.

[0011] According to the technical solution provided by the present invention, based on the determined power adjustment strategy, the 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 pre-execution command corresponding to each energy storage converter in the entire energy storage power station is calculated, including:

[0012] The power adjustment strategy is obtained. If the power adjustment strategy is a power increase adjustment strategy, the first active power output data is extracted, and the power increase margin of the entire station is calculated based on the first active power output data. The first active power output data includes at least the historical maximum active power output and actual active power of each energy storage converter.

[0013] Based on the required power and the current actual output, the power adjustment for demand increase is calculated, and based on the power increase margin of the entire station and the power adjustment for demand increase, the first power adjustment factor is obtained;

[0014] Based on the actual active power and historical maximum active power output corresponding to each of the energy storage converters, and the first power adjustment factor, the pre-execution command corresponding to each of the energy storage converters is calculated.

[0015] According to the technical solution provided by the present invention, based on the determined power adjustment strategy, the 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 pre-execution command corresponding to each energy storage converter in the entire energy storage power station is calculated, including:

[0016] The power adjustment strategy is obtained. If the power adjustment strategy is a power reduction adjustment strategy, the second active power output data is extracted, and the power reduction margin of the entire station is calculated based on the second active power output data. The second active power output data includes at least the historical minimum active power output and actual active power of each energy storage converter.

[0017] Based on the required power and the current actual output, the power adjustment for demand reduction is calculated, and based on the power reduction margin of the entire station and the power adjustment for demand reduction, a second power adjustment factor is obtained;

[0018] Based on the actual active power and historical minimum active power output corresponding to each of the energy storage converters, and the second power adjustment factor, the pre-execution command corresponding to each of the energy storage converters is calculated.

[0019] 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 the pre-execution instructions are modified according to the SOC margin to obtain the modified full-site execution instructions, including:

[0020] Obtain the SOC margin of the battery stack controlled by each of the energy storage converters;

[0021] Based on the SOC margin of each battery stack, the variance of the SOC margin of all battery stacks controlled by the energy storage converters in the entire energy storage power station is calculated.

[0022] If the SOC margin variance is greater than a first preset threshold, then the pre-execution commands of the energy storage converters corresponding to the maximum and minimum SOC margins in the battery stack are paired and averaged to obtain the corrected pre-execution commands.

[0023] Based on the revised pre-execution instructions, the pre-execution 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.

[0024] According to the technical solution provided by the present invention, the SOC margin of each energy storage converter-controlled battery stack is obtained, and the pre-execution instructions are modified according to the SOC margin to obtain the modified full-station execution instructions, which further includes:

[0025] If the SOC margin variance is less than or equal to the first preset threshold, then the pre-execution command corresponding to each of the energy storage converters is used as the whole-site execution command.

[0026] According to the technical solution provided by the present invention, a suitable power adjustment strategy is determined based on the required power and the current actual output, including:

[0027] When the required power is equal to the current actual output, the power adjustment strategy is determined to be no power adjustment.

[0028] Secondly, the present invention provides an active power regulation device based on an electrochemical energy storage power station, comprising:

[0029] The acquisition module is used to acquire the power demand and current actual output of the entire energy storage power station, and determine the applicable power adjustment strategy based on the power demand and the current actual output.

[0030] The calculation module is used to extract the active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculate the pre-execution command corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the demand power and the current actual output.

[0031] The correction module is used to obtain the SOC margin of the battery stack controlled by each energy storage converter, correct each pre-execution command according to the SOC margin, and obtain the corrected whole-station execution command; and use the whole-station execution command to control the operation of each energy storage converter to realize the active power regulation of the whole energy storage power station.

[0032] According to the technical solution provided by the present invention, the acquisition module is further configured to determine that the power adjustment strategy is a power increase adjustment strategy when the demand power is greater than the current actual output; or, when the demand power is less than the current actual output, determine that the power adjustment strategy is a power decrease adjustment strategy.

[0033] According to the technical solution provided by the present invention, the calculation module is further configured to obtain the power adjustment strategy; if the power adjustment strategy is a power increase adjustment strategy, then extract the first active power output data, and calculate the power increase margin of the entire station based on the first active power output data; the first active power output data includes at least: the historical maximum active power output and the actual active power generated by each of the energy storage converters; calculate the demand adjustment power based on the demand power and the current actual output, and obtain the first power adjustment factor based on the power increase margin of the entire station and the demand adjustment power; calculate the pre-execution command corresponding to each of the energy storage converters based on the actual active power generated and the historical maximum active power output corresponding to each of the energy storage converters, and the first power adjustment factor.

[0034] According to the technical solution provided by the present invention, the calculation module is further configured to obtain the power adjustment strategy; if the power adjustment strategy is a power reduction adjustment strategy, then extract the second active power output data, and calculate the power reduction margin of the entire station based on the second active power output data; the second active power output data includes at least: the historical minimum active power output and the actual active power generated by each of the energy storage converters; calculate the demand reduction adjustment power based on the demand power and the current actual output, and obtain the second power adjustment factor based on the power reduction margin of the entire station and the demand reduction adjustment power; calculate the pre-execution command corresponding to each of the energy storage converters based on the actual active power generated and the historical minimum active power output corresponding to each of the energy storage converters, and the second power adjustment factor.

[0035] According to the technical solution provided by the present invention, the correction module is further configured to calculate the SOC margin variance of all energy storage converters controlling the battery stacks within the entire energy storage power station based on the SOC margin of each battery stack; determine if the SOC margin variance is greater than a first preset threshold, then perform paired averaging processing on the pre-execution commands of the energy storage converters corresponding to the maximum and minimum SOC margins in the battery stacks to obtain corrected pre-execution commands; and adjust the pre-execution commands of the remaining energy storage converters within the entire energy storage power station according to the corrected pre-execution commands to obtain the final execution command for the entire station.

[0036] According to the technical solution provided by the present invention, the correction module is further configured 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.

[0037] 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.

[0038] Thirdly, the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0039] Fourthly, the present invention provides a computer-readable storage medium having a computer program that, when executed by a processor, implements the steps of the above-described method.

[0040] In summary, this technical solution specifically discloses a method, device, equipment, and medium for active power regulation based on an electrochemical energy storage power station. The regulation method includes: acquiring the total power demand and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the power demand and current actual output; extracting the corresponding active power output data of the entire energy storage power station based on the determined power adjustment strategy, and calculating the pre-execution commands corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the power demand, 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; acquiring the SOC margin of the battery stack controlled by each energy storage converter, and modifying each pre-execution command based on the SOC margin to obtain the modified execution command for the entire station; and using the execution command to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0041] Existing AGC command decomposition methods cannot accurately assess the differences in charging and discharging efficiency and real-time status of each energy storage converter, leading to operational command execution deviations and exacerbating grid frequency fluctuations. This invention compares the power demand corresponding to the AGC target command with the actual current output of the entire energy storage power station, precisely selecting either a power increase or decrease adjustment strategy. Furthermore, when calculating the pre-executed commands, it incorporates the active power output data of the entire energy storage power station, allocating the overall power demand according to the differences between equipment potential and current status. Finally, by obtaining the SOC margin of the battery stack controlled by each energy storage converter, the command allocation scheme is dynamically optimized. This control method effectively reduces command 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 equipment operation. Attached Figure Description

[0042] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 This is a flowchart illustrating an active power regulation method for an electrochemical energy storage power station.

[0044] Figure 2 This is a schematic diagram illustrating the unfolded process of step S100 in the active power regulation method based on electrochemical energy storage power station.

[0045] Figure 3 This is a schematic diagram of an expanded process for step S200 in the active power regulation method based on electrochemical energy storage power station.

[0046] Figure 4 This is a schematic diagram of another unfolding process of step S200 in the active power regulation method based on electrochemical energy storage power station.

[0047] Figure 5 This is a schematic diagram of an expanded process for step S300 in the active power regulation method based on electrochemical energy storage power station.

[0048] Figure 6 This is a schematic diagram of another unfolding process of step S300 in the active power regulation method based on electrochemical energy storage power station.

[0049] Figure 7 This is a schematic diagram of an active power regulation device based on an electrochemical energy storage power station.

[0050] Figure 8 This is a schematic diagram of a terminal device.

[0051] The diagram is labeled as follows: 500, Terminal device; 501, CPU; 502, ROM; 503, RAM; 504, Bus; 505, I / O interface; 506, Input section; 507, Output section; 508, Storage section; 509, Communication section; 510, Driver; 511, Removable media; 600, Control device; 601, Acquisition module; 602, Calculation module; 603, Correction module. Detailed Implementation

[0052] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0053] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0054] Example 1

[0055] To make the technical solutions of the embodiments of the present invention clearer and easier to understand, the application background of the embodiments of the present invention will be introduced below.

[0056] With the increasing installed capacity and grid-connected power generation of new energy sources, the intermittent, random, and uncertain nature of new energy power generation has brought enormous challenges to the safe and stable operation of the power grid. New energy storage is an important means to address the insufficient flexible adjustment resources of the power system and improve the system's operation and control level. By the end of 2024, the cumulative installed capacity of new energy storage projects built and put into operation nationwide reached 73.76 million kilowatts, an increase of over 130% compared to the end of 2023. The level of dispatch and utilization of new energy storage has continued to improve, with the equivalent utilization hours of new energy storage reaching approximately 1,000 hours in 2024. New energy storage has played a crucial role in promoting the development and consumption of new energy sources, ensuring peak supply, and guaranteeing the safe and stable operation of the power system.

[0057] Currently, during the operation of electrochemical energy storage power stations, the Energy Management System (EMS) receives Automatic Generation Control (AGC) commands from the dispatch system. After comprehensively considering factors such as constraints and fault alarms, the EMS decomposes the AGC commands to the Power Conversion Systems (PCS) under each energy storage unit for execution. Commonly used command decomposition methods include the proportional method, the equal margin method, and the 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 the SOC margin of each PCS. They cannot accurately judge the differences in 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". In the context of large-scale grid connection and frequent use of energy storage, the existing methods are no longer applicable.

[0058] Specifically, the introduction to the application background can be understood through the following explanations.

[0059] Automatic Generation Control (AGC) is an important component of power system automation. Its core objective is to maintain grid frequency stability and control inter-regional tie-line power by automatically adjusting the output of generator sets (or energy storage stations). An AGC command is typically a specific power value (in MW) that instructs the energy storage station to achieve a certain output target at a given time to participate in grid frequency regulation, peak shaving, or power balancing. This command is generally generated by the grid dispatch center (or the higher-level energy management system) based on the real-time operating needs of the grid (such as load changes, frequency fluctuations, and fluctuations in renewable energy output), and then sent to the energy storage station through the communication system. After receiving the command, the energy storage station adjusts the battery charging and discharging state through the control system, enabling the entire station's output to quickly track the target value, thereby achieving dynamic support for the grid.

[0060] A typical energy storage power station consists of multiple independent energy storage units, and each energy storage unit is equipped with a variable number of PCS (Power Control System). Each PCS controls multiple battery clusters. Therefore, after the overall control layer of the energy storage power station receives the AGC (Automatic Generation Control) command, it decomposes the AGC command to control each PCS to respond to the corresponding control command. Existing proportional methods, equal margin methods, and state of capacity (SOC) balancing methods have different disadvantages in command decomposition. For example, proportional methods and equal margin methods are prone to overloading some PCS or overcharging and over-discharging of batteries, shortening battery life. The state of capacity balancing method ignores the differences in battery charging and discharging efficiency, which can easily lead to power distribution deviations in practical applications.

[0061] In view of this, the present invention proposes an active power regulation method based on an electrochemical energy storage power station. The method includes: acquiring the power demand and current actual output of the entire energy storage power station, and determining an applicable power adjustment strategy based on the power demand and current actual output; extracting the corresponding active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculating the pre-execution command corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the power demand, 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; acquiring the SOC margin of the battery stack controlled by each energy storage converter, and modifying each pre-execution command according to the SOC margin to obtain the modified execution command for the entire station; and using the execution command for the entire station to control the operation of each energy storage converter to achieve active power regulation of the entire energy storage power station.

[0062] As can be seen, this invention addresses the aforementioned problems by first dynamically constructing "pre-execution instructions" that match the actual capabilities of each device based on the differences in the historical upper and lower limits of each PCS's output, thereby avoiding overload or false protection triggering caused by instruction over-allocation and improving system reliability. Secondly, it uses active power output data, demand power, and current actual output that reflect the real-time operation of the electrochemical energy storage power station to calculate the SOC change rate of the battery stacks controlled by each PCS after the issuance of the "pre-execution instructions." It then uses variance analysis to obtain the SOC margin of the battery stacks controlled by each PCS, comprehensively evaluating the SOC margin deviation of the battery clusters after instruction execution, ensuring that each battery cluster operates in its optimal state. Finally, it feeds back the SOC margin of the battery stacks controlled by each PCS to the active power decomposition layer to quickly correct the "pre-execution instructions." This achieves a good balance between instruction issuance accuracy and calculation simplicity, further improving the consistency of SOC among battery clusters based on the "PCS capability" allocation of active power.

[0063] Please refer to the following. Figure 1 The flowchart shown in this embodiment illustrates an active power regulation method based on electrochemical energy storage power station, further explaining each step of the invention. The regulation method includes the following steps:

[0064] S100: Obtain the power demand and current actual output of the entire energy storage power station, and determine the applicable power adjustment strategy based on the power demand and current actual output.

[0065] The execution entity of this 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 AGC target instructions issued by the power grid dispatch center (or the superior energy management system), thereby controlling and adjusting the PCS configured in each energy storage unit in the entire energy storage power station to adjust the power according to the corresponding execution instructions, so as to achieve the output target that the entire energy storage power station should achieve at a certain moment and maintain the stability of the power grid frequency.

[0066] It should be noted that, in this embodiment of the invention, the required power is the content displayed by the AGC target instruction issued by the power grid dispatch center. This required power is a specific value of the current regulation power required by the entire energy storage power station, generated by the power grid dispatch center based on parameters such as power grid load demand and frequency regulation demand. Here it is denoted as... In practice, after receiving the AGC target command from the power grid dispatch center, the energy management system of the energy storage power station can parse the content of the target command to obtain the specific power demand. The current actual output of the entire energy storage power station refers to the power value that the entire energy storage power station actually outputs to the grid (or absorbs from the grid) through battery charging and discharging at the current moment, denoted here as... .

[0067] Based on the above, the actual power output of the entire energy storage power station at the current moment and the demand power displayed by the AGC target command can be obtained through the sensor layer and data acquisition unit of the upper-level energy management system. This allows us to confirm the power adjustment direction of the energy storage power station and determine the appropriate power adjustment strategy.

[0068] In a preferred embodiment, see Figure 2 Step S100 further includes:

[0069] S101. When the demand power is greater than the current actual output, the power adjustment strategy is determined to be the power increase adjustment strategy.

[0070] Based on the previous examples, this means that the required power value obtained after parsing the AGC target command is greater than the current actual output of the entire energy storage power station, i.e., This indicates that the power grid needs the energy storage power station to increase its discharge power across the entire station. In this case, the power increase adjustment strategy can be directly adopted. For example, if the AGC command is -800kW (the data here is negative to indicate that the AGC command is a discharge command, 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.

[0071] Alternatively, S102, when the demand power is less than the current actual output, determine the power adjustment strategy as a power reduction adjustment strategy.

[0072] At this point, the required power is less than the actual output of the entire energy storage power station, i.e., This indicates that the power grid needs the energy storage power station to reduce its discharge power (or increase its charging power). In this case, the power reduction adjustment strategy can be directly adopted. For example, if the AGC command is +300kW (the data here is a positive value to indicate that the AGC command is a charging command) and the actual output is +500kW, it means that the power reduction adjustment strategy needs to be selected at this time.

[0073] In a preferred embodiment, the comparison result between the AGC target command and the current actual output of the entire energy storage power station also includes the case where the two are the same, i.e., there are... Therefore, in this embodiment of the invention, it is also included that when the required power is equal to the current actual output, the power adjustment strategy is determined to be no power adjustment.

[0074] When the AGC target command equals the actual output, it means that the entire energy storage power station has entered a dynamic equilibrium state, which generally exhibits the following characteristics:

[0075] 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;

[0076] Feature 2, Stable Maintenance: The system does not stop working, but rather compensates for minor power deviations caused by factors such as grid fluctuations and changes in battery parameters through continuous monitoring and fine-tuning;

[0077] Feature 3, Task Switching: The control priority shifts from "Power Tracking" to battery health management, efficiency optimization, and backup response, preparing for possible subsequent power adjustments.

[0078] Therefore, based on the AGC target instructions for the entire energy storage power station and the current actual output of the entire energy storage power station, three scenarios can be obtained: power increase adjustment strategy, power decrease adjustment strategy, and no power adjustment. For different scenarios, this invention proposes an equal margin active power decomposition method that considers the differences in the upper and lower limits of the historical output of each PCS, thereby forming "pre-action instructions," specifically including the following:

[0079] S200. Based on the determined power adjustment strategy, extract the active power output data of the entire energy storage power station, and calculate the pre-execution command 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.

[0080] A power conversion system (PCS) is a core power electronic device that connects energy storage batteries to the power grid / load. Its core function is to achieve bidirectional conversion and precise control of electrical energy. For example, when a pre-execution command requires a PCS to discharge at a power of 200kW, the PCS converts the DC power from the battery to AC power through an inverter circuit and controls the output power to precisely match the command value.

[0081] After determining the power adjustment strategy (either a power increase strategy or a power decrease strategy), the energy storage power station needs to reasonably allocate the required power to each energy storage converter, thereby generating pre-execution commands corresponding to each energy storage converter. Therefore, this step is divided into the generation of pre-execution commands under the power increase strategy and the power decrease strategy, which will be introduced in detail below.

[0082] Specifically, see Figure 3 The generation of pre-execution instructions under the power adjustment strategy is carried out through the following steps:

[0083] S201. Obtain the power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, obtain the first active power output data and calculate the power increase margin of the entire station based on the first active power output data. The first active power output data includes at least the historical maximum active power output and actual active power generated by each energy storage converter.

[0084] 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 within a specific time period. This active power value can be obtained through recording or monitoring statistics. It is used to reflect the effective electrical power delivered by the energy storage power station to the grid (or load) at different times. The overall power margin 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 elaborated here.

[0085] Returning to the original scheme, when selecting the power increase adjustment strategy, the active power output data of the corresponding energy storage power station is obtained according to the grid demand; this is the first active power output data. In practical applications, the first active power output data can be obtained from the energy storage power station's operation database. This first active power output data is the basis for calculating the overall power increase margin of the station. This data includes at least: the historical maximum active power output of each energy storage converter. The historical maximum active power output reflects the maximum output capacity of the PCS under ideal operating conditions and is a key reference for assessing the margin. In addition, the first active power 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 limitations here.

[0086] To illustrate this in a practical application scenario, let's assume that the entire energy storage power station is composed of... m It consists of several independent energy storage units, each equipped with...n PCS, each PCS controls p Taking a cluster battery pack as an example, the power margin of the entire station can be calculated by obtaining the power margin of each PCS.

[0087] 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 of Taiwan PCS :

[0088] Formula (1);

[0089] In formula (1): Represented as the first j The first energy storage unit i Rated power of each PCS; For the first j The first energy storage unit i The actual active power generated by the PCS; Represented as the first j The first energy storage unit i The historical maximum active power output of the PCS; 0.9 is an empirical coefficient for balancing "equipment utilization" and "safety redundancy".

[0090] Based on the obtained first i Power margin of Taiwan PCS The power margin of the entire station can be calculated using the following formula (2). :

[0091] Formula (2);

[0092] in, m This represents the total number of independent energy storage units. n This indicates the total number of PCS configured in each energy storage unit.

[0093] S202. Based on the demand power and the current actual output, calculate the demand adjustment power, and based on the power margin of the entire station and the demand adjustment power, obtain the first power adjustment factor;

[0094] The required power can be obtained from the AGC target instructions issued by the power grid dispatch center, and the current actual output of the entire energy storage power station. It can be calculated using the following formula (3):

[0095] Formula (3);

[0096] Ultimately, power adjustment is required. It is calculated using the following formula (4):

[0097] Formula (4);

[0098] Then, based on the overall power margin Hesheng needs to adjust power The first power adjustment factor is calculated using the following formula (5). S 1;

[0099] Formula (5).

[0100] S203. Based on the actual active power and historical maximum active power output corresponding to each energy storage converter, and the first power adjustment factor, calculate the pre-execution command corresponding to each energy storage converter.

[0101] Here, the historical maximum active power output reflects the upper limit of the PCS's potential. Actual active power output refers to the actual active power output of power equipment (such as energy storage power stations) to the grid or load. This can be used to determine the current load of each energy storage converter, and then utilize the first power adjustment factor. S 1. Assign appropriate pre-execution instructions to each energy storage converter.

[0102] Specifically, based on the actual active power generated. First power adjustment factor S 1 and the corresponding historical maximum active power output The pre-command for each energy storage converter is calculated using the following formula (6). .

[0103] Formula (6).

[0104] See below Figure 4 The generation of pre-execution instructions under the power reduction adjustment strategy is achieved through the following steps:

[0105] S204. Obtain the power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, obtain the second active power output data and calculate the power reduction margin of the entire station based on the second active power output data. The second active power output data includes at least the historical minimum active power output and actual active power generated by each energy storage converter.

[0106] Following the introduction of active power output data above, the power reduction margin of the whole station is used to refer to the maximum value of active power that the energy storage power station can reduce under the current operating state. It is used to reflect the adjustment capability 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), which will not be repeated here.

[0107] Next, when selecting a power reduction adjustment strategy, the active power output data of the corresponding energy storage power station is obtained according to the grid demand; this is the second active power output data. The second active power output data can also be obtained from the energy storage power station's operation database. This second active power output data is the basis for calculating the overall power reduction margin under this strategy, and it includes at least: the historical minimum active power output of each energy storage converter. The historical minimum active power output reflects the stable output capability of the PCS under extreme operating conditions. The second active power 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 specific limitations here.

[0108] Currently, the entire energy storage power station is also composed of... m It consists of several independent energy storage units, each equipped with... n PCS, each PCS controls p Taking a cluster battery pack as an example, the power reduction margin of each PCS can be obtained to calculate the power reduction margin of the entire station.

[0109] Based on the second active power output data, the first active power output can be calculated according to the following formula (7). j The first energy storage unit i Power reduction margin of Taiwan PCS :

[0110] Formula (7);

[0111] In formula (7): Represented as the first j The first energy storage unit i The historical minimum active power output of the PCS in Taiwan.

[0112] Based on the obtained first i Power reduction margin of Taiwan PCS The power reduction margin of the entire station can be calculated using the following formula (8). :

[0113] Formula (8);

[0114] S205. Based on the demand power and the current actual output, calculate the demand reduction adjustment power, and based on the power reduction margin of the whole station and the demand reduction adjustment power, obtain the second power adjustment factor;

[0115] The required power can be obtained from the AGC target instructions issued by the power grid dispatch center, and the current actual output of the entire energy storage power station. The final demand reduction adjustment power is calculated based on the above formulas (3) and (4). Since these are two different power adjustment strategies based on the comparison between the demand power and the actual output of the entire energy storage power station, the power calculated here should be the demand reduction adjustment power. .

[0116] Next, based on the power reduction margin of the entire station And reduce power adjustment The second power adjustment factor is calculated using the following formula (9). S 2;

[0117] Formula (9).

[0118] S206. Based on the actual active power and historical minimum active power output corresponding to each energy storage converter, and the second power adjustment factor, calculate the pre-execution command corresponding to each energy storage converter.

[0119] Here, the historical minimum active power output reflects the stable output capability of the PCS, while the actual active power output can be used to determine the current load of each energy storage converter, and then the second power adjustment factor is used. S 2. Assign appropriate pre-execution commands to each energy storage converter.

[0120] Specifically, based on the actual active power generated. Second power adjustment factor S 2 and the corresponding historical minimum active power output The pre-command for each energy storage converter is calculated using the following formula (10). .

[0121] Formula (10).

[0122] Based on the foregoing, this invention, by comparing the power demand displayed by the AGC target command with the actual current output of the entire energy storage power station, can accurately select a power increase or power decrease adjustment strategy and clarify the adjustment direction. Similarly, when calculating the pre-execution command, the invention introduces the historical maximum or minimum active power output of each energy storage converter and the actual active power, and combines it with the first power adjustment factor or the second power adjustment factor to allocate the overall power demand according to the difference between the equipment potential and the current state. This results in the PCS with a larger active power adjustment capacity being allocated a larger adjustment amount, which can effectively improve the adjustment efficiency and response speed of the entire energy storage power station, thereby optimizing equipment lifespan and cost.

[0123] S300: Obtain the SOC margin of the battery stack controlled by each energy storage converter, modify each pre-execution command based on the SOC margin, and obtain the modified full-station execution command; use the full-station execution command to control the operation of each energy storage converter, so as to realize the active power regulation of the entire energy storage power station.

[0124] Considering the energy efficiency differences among battery clusters in an energy storage power station during long-term uniform charging and discharging, in order to ensure that each battery cluster operates in its optimal state, in this embodiment of the invention, after calculating the pre-execution command, it is also necessary to comprehensively evaluate the deviation of the battery cluster's SOC margin after the command is executed based on the variance of the SOC margin of each battery cluster after the command is issued, and further revise the pre-execution command to obtain the final execution command that is reasonably allocated to each PCS, thereby achieving precise control of the active power of the entire energy storage power station and balanced operation of the equipment.

[0125] Specifically, see Figure 5 and Figure 6 Step S300 includes the following steps:

[0126] S301. Obtain the SOC margin of the battery stack controlled by each energy storage converter;

[0127] S302. Based on the SOC margin of each battery stack, calculate the variance of the SOC margin of all battery stacks controlled by the energy storage converters in the entire energy storage power station.

[0128] S303. If the SOC margin variance is greater than the first preset threshold, then the pre-execution commands of the energy storage converters corresponding to the maximum and minimum SOC margins in the battery stack are paired and averaged to obtain the corrected pre-execution commands.

[0129] S304. Based on the revised pre-execution instructions, adjust the pre-execution instructions of the remaining energy storage converters in the entire energy storage power station to obtain the final execution instructions for the entire station.

[0130] It also includes: S305, if the SOC margin variance is less than or equal to the first preset threshold, then the pre-execution command corresponding to each energy storage converter is used as the whole station execution command.

[0131] It should be noted that both power adjustment strategies are applicable to the above adjustment methods, and the SOC margin in this embodiment of the invention is used to reflect the remaining charge / discharge capacity of the battery cluster, and is calculated by the following formulas (11) and (12).

[0132] Regarding step S300:

[0133] Under the power-up adjustment strategy: By definition, power-up can be described as a process of high charging power - low charging power - low discharging power - high discharging power. It is mainly related to the current state of the PCS. The overall trend of SOC change under power-up is divided into the following two types: ① If the current state is charging, it will still be low charging after power-up. At this time, SOC is on an upward trend, but the rate of increase is slowing down; ② If the current state is charging / discharging, it will become discharging after power-up. At this time, SOC is on a downward trend.

[0134] To calculate the SOC margin of the battery stack controlled by each PCS under the power increase adjustment strategy, it is necessary to first calculate the SOC margin of the battery stack after the power increase adjustment strategy according to the following formula (11). j The first energy storage unit i The next moment of the battery stack controlled by the PCS (Taiwan) t The SOC value at time (+1) is denoted as... :

[0135] Formula (11);

[0136] In formula (11): for t At this moment, the first j The first energy storage unit i Initial SOC value of the battery stack controlled by the PCS; Sampling time; For the first j The first energy storage unit i Coulombic efficiency of battery stack controlled by PCS in Taiwan; For the j-th energy storage unit i Battery stack capacity controlled by PCS in Taiwan For the first j The first energy storage unit i The voltage of the battery stack controlled by the PCS;

[0137] Next, the power increase adjustment strategy under the following formula (12) is calculated. j The first energy storage unit i Taiwan PCS-controlled battery stack SOC margin .

[0138] Formula (12);

[0139] Under normal circumstances, The smaller the value, the greater the SOC margin of the battery stack controlled by the PCS.

[0140] For example, when the current number is obtained j The first energy storage unit iThe initial SOC value of the battery stack controlled by the PCS is 60%, that is... ; The result after executing the pre-execution instruction is obtained by formula (11). ;

[0141] The final calculated SOC margin is then obtained. have: .

[0142] State of Charge (SOC) margin of each PCS controlled by the power-up adjustment strategy The variance of the SOC margin of all PCS-controlled battery stacks under the power-up adjustment strategy is calculated using the following formula (13). :

[0143] Formula (13);

[0144] in, The average value of the SOC change rate of all battery stacks controlled by PCS in the entire station can be calculated using the following formula (14):

[0145] Formula (14);

[0146] Next, using the variance of the SOC margin of each battery cluster, the deviation of the battery cluster SOC margin after command execution is comprehensively evaluated: if the variance of the SOC margin of all PCS-controlled battery stacks under the power-up adjustment strategy is... This proves that the consistency of the change in the SOC margin of the entire station after the execution of the current PCS pre-execution command is good, and there is no need to modify the pre-execution command. The power adjustment requirements can be met by directly controlling the operation of the PCS with the calculated pre-execution command.

[0147] like This proves that the consistency of the overall SOC margin change caused by the execution of the current PCS pre-execution instructions is poor, and the pre-execution instructions need to be corrected; where, the first preset threshold under the power increase adjustment strategy refers to This value can be designed according to specific circumstances; for example, it can be set to... c The setting is 0.1; the principle behind this setting is as follows: if better consistency in active power margin is desired across all PCS systems in the entire station, then... The value should be as large as possible; if better consistency of SOC across all PCS-controlled battery stacks is desired, then... The value should be as small as possible.

[0148] Next, for cases requiring correction, it is necessary to obtain a data set consisting of the SOC margins of all battery stacks controlled by the energy storage converters, and obtain the maximum and minimum values ​​in the set, namely the maximum SOC margin and the minimum SOC margin.

[0149] For example, the set is And assume that the maximum SOC margin and the minimum SOC margin in this set are respectively and Among them are ,Right now For the first time after power increase f The first energy storage unit e The SOC margin of the battery stack controlled by the PCS in Taiwan For the first time after power increase h The SOC margin of the battery stack controlled by the g-th PCS of each energy storage unit; in addition, with and The corresponding pre-execution instruction is denoted as and .

[0150] The embodiments of the present invention use the following formula (15) to process the pre-execution command. and Perform paired averaging to obtain the corrected pre-execution instructions:

[0151] Formula (15);

[0152] In formula (15), and The first f The first energy storage unit e PCS and the h The actual active power generated by the g-th PCS of the energy storage unit; and The first f The first energy storage unit e PCS and the h The up-power margin of the g-th PCS of the energy storage unit.

[0153] As can be seen from the above description, in the embodiments of the present invention, the active power "increment" reflected by the pre-execution command corresponding to the maximum SOC margin and the minimum SOC margin is averaged to correct the "pre-execution command", which further improves the consistency of SOC of each battery cluster on the basis of active power allocation "by PCS capability".

[0154] Since the AGC target instructions for the entire energy storage power station are fixed, the pre-execution instructions... and After making the corrections, it is also necessary to make certain adjustments to the pre-execution instructions for the entire station (the pre-execution instructions will be adjusted accordingly). and Independent, removed from the overall allocation and Finally, the following formula (16) is obtained as the full-site execution command:

[0155] Formula (16).

[0156] Regarding step S300:

[0157] Under the power reduction adjustment strategy: By definition, power reduction can be described as a process of high-power discharge - low-power discharge - low-power charging - high-power charging. It is mainly related to the current state of the PCS. The overall trend of SOC change under the power reduction situation is divided into the following two types: ① If the current state is discharge, it will still be low-power discharge after power reduction. At this time, the SOC will show a downward trend, but the rate of decline will slow down; ② If the current state is discharge / charge, it will change to charging state after power reduction. At this time, the SOC will show an upward trend.

[0158] The SOC margin of each PCS-controlled battery stack under the power reduction adjustment strategy can still be calculated according to formula (11). At the same time, the first power reduction adjustment strategy under the power reduction strategy can also be obtained through the aforementioned formula (12). j The first energy storage unit i Taiwan PCS-controlled battery stack SOC margin Under normal circumstances The smaller the value, the greater the SOC margin of the battery stack controlled by the PCS.

[0159] State of Charge (SOC) margin of each PCS controlled by the power reduction adjustment strategy The variance of the SOC margin of all PCS-controlled battery stacks under the power reduction adjustment strategy is calculated using the following formula (13). :

[0160] Formula (17);

[0161] Next, let's consider the variance of the SOC margin of all PCS-controlled battery stacks across the entire site under the power reduction adjustment strategy. This proves that the consistency of the change in the SOC margin of the entire station after the execution of the current PCS pre-execution command is good, and there is no need to modify the pre-execution command. The power adjustment requirements can be met by directly controlling the operation of the PCS with the calculated pre-execution command.

[0162] like This proves that the consistency of the overall SOC margin change caused by the current PCS pre-execution command is poor, and the pre-execution command needs to be corrected; where, the first preset threshold under the power reduction adjustment strategy refers to... This value can be designed according to specific circumstances; for example, it can be set to... It is also set to 0.1. If better consistency of active power margin is desired across all PCS systems in the entire site, then... The value should be as large as possible; if better consistency of SOC across all PCS-controlled battery stacks is desired, then... The value should be as small as possible.

[0163] Next, for cases requiring correction, it is necessary to obtain a data set consisting of the SOC margins of all battery stacks controlled by the energy storage converters, and obtain the maximum and minimum values ​​in the set, namely the maximum SOC margin and the minimum SOC margin.

[0164] For example, the set is still And assume that the maximum SOC margin and the minimum SOC margin in this set are respectively and Among them are ,Right now For the first time after power reduction v The first energy storage unit u The SOC margin of the battery stack controlled by the PCS in Taiwan For the first time after power reduction x The first energy storage unit w The SOC margin of the battery stack controlled by the PCS in Taiwan; in addition, with and The corresponding pre-execution instruction is denoted as and .

[0165] Consistent with the aforementioned principle, the embodiments of the present invention use the following formula (18) to pre-execute instructions. and Perform paired averaging to obtain the corrected pre-execution instructions:

[0166] Formula (18);

[0167] In formula (15), and The first v The first energy storage unit u PCS and the x The first energy storage unit w The actual active power generated by the PCS; and The first v The first energy storage unit u PCS and the x The first energy storage unit w Power reduction margin of the PCS.

[0168] Since the AGC target instructions for the entire energy storage power station are fixed, the pre-execution instructions... and After making the corrections, it is also necessary to make certain adjustments to the pre-execution instructions for the entire station (the pre-execution instructions will be adjusted accordingly). and Independent, removed from the overall allocation and Finally, the full-site execution command of the following formula (19) is obtained.

[0169] Formula (19).

[0170] It should be noted that, regardless of whether it is a power increase adjustment strategy or a power decrease adjustment strategy, after obtaining the corrected pre-execution command, it is still necessary to re-compare the SOC margin variance with the first preset threshold according to the current pre-execution command, until the obtained SOC margin variance is less than the first preset threshold, and then adjust the pre-execution commands of the remaining energy storage converters accordingly to obtain the final full-site execution command.

[0171] Therefore, this 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, and finally outputs correction commands that fit the actual capabilities of each energy storage converter. This effectively reduces command execution deviations caused by differences in charging and discharging efficiency and real-time status, and achieves precise control of the active power of the entire energy storage power station and balanced operation of the equipment.

[0172] Based on the above description, this invention proposes an active power regulation method for electrochemical energy storage power stations. From determining the power strategy, issuing pre-execution commands, analyzing regulation results, to feedback correction, it systematically solves the shortcomings of existing AGC command decomposition methods. Specifically, this method first compares the power demand shown by the AGC target command with the actual output of the entire energy storage power station to accurately select a power increase or decrease strategy and clarify the adjustment direction. Next, when calculating pre-execution commands, it incorporates the historical maximum or minimum active power output data from each energy storage converter, along with actual power output data, to calculate a first or second power adjustment factor for initially allocating pre-execution commands, distributing the overall power demand according to the difference between the equipment's real-time potential and current state. Finally, by obtaining the SOC margin of the battery stack controlled by each energy storage converter, the pre-execution commands are further corrected, essentially taking into account key factors such as the battery cluster's health status and charge / discharge capacity, dynamically optimizing the command allocation scheme.

[0173] This invention employs the above technical solutions. On one hand, it innovatively combines historical output data of the PCS to decompose the commands for the entire station. By comprehensively considering the upper and lower limits of the actual active power output of different PCS in each energy storage unit and ±0.9 times the rated active power, the PCS with larger active power adjustable capacity is allocated a larger active power adjustment amount, which can effectively ensure the adjustment efficiency and response speed of each PCS in the energy storage power station. On the other hand, this invention also considers the energy efficiency differences of each battery cluster in the long-term uniform charging and discharging process of the energy storage power station. By calculating the variance of the SOC margin of each battery cluster after the issuance of the "pre-execution command", it comprehensively evaluates the deviation of the SOC margin of the battery cluster after the execution of the command, thereby quickly correcting the "pre-execution command". On the basis of active power allocation "by PCS capability", it further improves the consistency of SOC of each battery cluster, so that each battery cluster works in the optimal state.

[0174] The above text combined Figures 1-6 The active power regulation method based on electrochemical energy storage power station provided in the embodiments of the present invention has been described in detail below. Figure 7 , Figure 8 The apparatus, equipment, and media provided in the embodiments of the present invention will be described.

[0175] Based on the active power regulation method for an electrochemical energy storage power station shown in Example 1, this invention proposes an active power regulation device for an electrochemical energy storage power station, the regulation device 600 comprising:

[0176] The acquisition module 601 is used to acquire the power demand and current actual output of the entire energy storage power station, and determine the applicable power adjustment strategy based on the power demand and current actual output.

[0177] The calculation module 602 is used to extract the active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculate the pre-execution command 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.

[0178] The 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 command based on the SOC margin to obtain the corrected whole-station execution command; the whole-station execution command is used to control the operation of each energy storage converter to achieve active power regulation of the whole energy storage power station.

[0179] In this embodiment of the invention, the acquisition module 601 first determines the power adjustment direction based on the relationship between the required power displayed by the AGC target command 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 (power increase adjustment strategy or power decrease adjustment strategy). After obtaining the corresponding power adjustment strategy, the calculation module 602 calculates the pre-execution command corresponding to each energy storage converter based on the active power output data of the entire energy storage power station. Then, the correction module 603 determines whether the current pre-execution command needs to be modified based on the obtained pre-execution command. If so, the pre-execution command is corrected according to the SOC margin of the battery stack controlled by the energy storage converter to obtain the corrected execution command for the entire station, thereby realizing the active power regulation of the entire energy storage power station.

[0180] In some embodiments, the acquisition module 601 is further configured to determine the power adjustment strategy as an increase power adjustment strategy when the demand power is greater than the current actual output; or, when the demand power is less than the current actual output, determine the power adjustment strategy as a decrease power adjustment strategy.

[0181] In some embodiments, the calculation module 602 is further configured to obtain a power adjustment strategy. If the power adjustment strategy is a power increase adjustment strategy, then the first active power output data is extracted, and the power increase margin of the entire station is calculated based on the first active power output data. The first active power output data includes at least: the historical maximum active power output and the actual active power generated by 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 of the entire station and the demand adjustment power. The pre-execution command corresponding to each energy storage converter is calculated based on the actual active power generated and the historical maximum active power output corresponding to each energy storage converter, as well as the first power adjustment factor.

[0182] In some embodiments, the calculation module 602 is further configured to obtain a power adjustment strategy. If the power adjustment strategy is a power reduction adjustment strategy, then the second active power output data is extracted, and the power reduction margin of the entire station is calculated based on the second active power output data. The second active power output data includes at least: the historical minimum active power output and the actual active power generated by 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 pre-execution command corresponding to each energy storage converter is calculated based on the actual active power generated and the historical minimum active power output corresponding to each energy storage converter, as well as the second power adjustment factor.

[0183] In some embodiments, the correction module 603 is further configured to calculate the SOC margin variance of all energy storage converters controlling the battery stacks within the entire energy storage power station based on the SOC margin of each battery stack; determine if the SOC margin variance is greater than a first preset threshold, then perform paired averaging processing on the pre-execution instructions of the energy storage converters corresponding to the maximum and minimum SOC margins in the battery stacks to obtain the corrected pre-execution instructions; and adjust the pre-execution instructions of the remaining energy storage converters within the entire energy storage power station according to the corrected pre-execution instructions to obtain the final execution instructions for the entire station.

[0184] 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-execution instructions corresponding to each energy storage converter as the whole station execution instructions.

[0185] In some embodiments, the acquisition module 601 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.

[0186] As described above, the acquisition module 601, calculation module 602, and correction module 603 in this embodiment of the invention cooperate to construct an active power regulation system for an energy storage power station. Each module works collaboratively, effectively overcoming the shortcomings of traditional regulation methods and improving system performance. The acquisition module 601 accurately selects a power adjustment strategy based on the required power and actual output presented by the AGC target command, providing a clear direction for subsequent regulation. The calculation module 602, based on historical and real-time data of strategy calls, combined with power adjustment factors, allocates pre-executed commands according to equipment characteristics, solving the problem of traditional methods ignoring equipment differences. The correction module 603 introduces battery stack SOC margin to further optimize commands, taking into account both real-time equipment status and battery health, avoiding execution deviations caused by uneven charging and discharging. These three modules form a closed-loop control of "determining the strategy - calculating the command - dynamic correction," achieving refined and intelligent regulation of the active power of the energy storage power station, improving the accuracy of grid response, ensuring safe equipment operation, optimizing resource utilization efficiency, and enhancing the overall reliability and stability of the system.

[0187] The control device 600 according to an embodiment of the present invention can correspond to performing 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 implementing Figure 1 The corresponding process of the method in the illustrated embodiment will not be described in detail here for the sake of brevity.

[0188] The present invention also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of an active power regulation method based on an electrochemical energy storage power station as described in Example 1.

[0189] In this embodiment, as 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 a program stored in ROM (Read-Only Memory) 502 or a program loaded from storage into RAM (Random Access Memory) 503. RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.

[0190] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 510 as needed so that computer programs read from it can be installed into storage section 508 as needed.

[0191] In particular, according to embodiments of the present invention, the above-described flowchart is as follows. Figure 1 The described process can be implemented as a computer software program. 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 performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by CPU 501, it performs the functions defined above in the system of the present invention.

[0192] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium 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), an 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 this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0193] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0194] The units described in the embodiments of the present invention can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself. The described units or modules can also be located in a processor; for example, a processor can be described as including 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 necessarily limit the specific unit or module itself; for example, the acquisition module can also be described as "an acquisition module for acquiring multiple instances to be probed in the base table".

[0195] The present invention also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to implement the active power regulation method for an electrochemical energy storage power station as described in the above embodiments.

[0196] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention is not limited to the specific combination of the above-described technical features, but also includes other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this invention.

Claims

1. A method for active power regulation based on an electrochemical energy storage power station, characterized in that, The control method includes: The system acquires the required power and current actual output of the entire energy storage power station, and determines an applicable power adjustment strategy based on the required power and the current actual output. According to the determined power adjustment strategy, it extracts the corresponding active power output data of the entire energy storage power station, and calculates the pre-execution commands 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. Here, 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 of the energy storage converters is obtained, and the pre-execution instructions are modified according to the SOC margin to obtain the modified full-station execution instructions; the full-station execution instructions are used to control the operation of each of the energy storage converters to achieve active power regulation of the entire energy storage power station. Based on the determined power adjustment strategy, the active power output data of the entire energy storage power station is extracted. Then, based on the active power output data, the required power, and the current actual output, pre-execution commands corresponding to each energy storage converter in the entire energy storage power station are calculated, including: The power adjustment strategy is obtained. If the power adjustment strategy is a power increase adjustment strategy, the first active power output data is extracted, and the power increase margin of the entire station is calculated based on the first active power output data. The first active power output data includes at least the historical maximum active power output and actual active power of each energy storage converter. Based on the required power and the current actual output, the power adjustment for demand increase is calculated, and based on the power increase margin of the entire station and the power adjustment for demand increase, the first power adjustment factor is obtained; Based on the actual active power and historical maximum active power output corresponding to each of the energy storage converters, and the first power adjustment factor, the pre-execution command corresponding to each of the energy storage converters is calculated. Based on the determined power adjustment strategy, the active power output data of the entire energy storage power station is extracted. Then, based on the active power output data, the required power, and the current actual output, pre-execution commands corresponding to each energy storage converter in the entire energy storage power station are calculated, including: The power adjustment strategy is obtained. If the power adjustment strategy is a power reduction adjustment strategy, the second active power output data is extracted, and the power reduction margin of the entire station is calculated based on the second active power output data. The second active power output data includes at least the historical minimum active power output and actual active power of each energy storage converter. Based on the required power and the current actual output, the power adjustment for demand reduction is calculated, and based on the power reduction margin of the entire station and the power adjustment for demand reduction, a second power adjustment factor is obtained; Based on the actual active power and historical minimum active power output corresponding to each of the energy storage converters, and the second power adjustment factor, the pre-execution command corresponding to each of the energy storage converters is calculated. Obtain the SOC margin of the battery stack controlled by each of the energy storage converters, and modify each of the pre-execution instructions based on the SOC margin to obtain the modified full-site execution instructions, including: Obtain the SOC margin of the battery stack controlled by each of the energy storage converters; Based on the SOC margin of each battery stack, the variance of the SOC margin of all battery stacks controlled by the energy storage converters in the entire energy storage power station is calculated. If the SOC margin variance is greater than a first preset threshold, then the pre-execution commands of the energy storage converters corresponding to the maximum and minimum SOC margins in the battery stack are paired and averaged to obtain the corrected pre-execution commands. Based on the revised pre-execution instructions, the pre-execution 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.

2. The active power regulation method based on electrochemical energy storage power station according to claim 1, characterized in that, Based on the required power and the current actual output, determine the applicable power adjustment strategy, including: When the required power is greater than the current actual output, the power adjustment strategy is determined to be a power increase 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 regulation method based on electrochemical energy storage power station according to claim 2, characterized in that, The process includes obtaining the State of Charge (SOC) margin of each battery stack controlled by the energy storage converter, modifying each pre-execution command based on the SOC margin, and obtaining the modified full-site execution command. The process also includes: If the SOC margin variance is less than or equal to the first preset threshold, then the pre-execution command corresponding to each of the energy storage converters is used as the whole-site execution command.

4. The active power regulation method based on electrochemical energy storage power station according to claim 1, characterized in that, Based on the required power and the current actual output, determine the applicable power adjustment strategy, including: When the required power is equal to the current actual output, the power adjustment strategy is determined to be no power adjustment.

5. An active power regulation device based on an electrochemical energy storage power station, characterized in that, The acquisition module is used to acquire the power demand and current actual output of the entire energy storage power station, and determine the applicable power adjustment strategy based on the power demand and the current actual output. The calculation module is used to extract the active power output data of the entire energy storage power station according to the determined power adjustment strategy, and calculate the pre-execution command corresponding to each energy storage converter in the entire energy storage power station based on the active power output data, the demand power and the current actual output. The correction module is used to obtain the SOC margin of the battery stack controlled by each energy storage converter, correct each pre-execution command according to the SOC margin, and obtain the corrected whole-station execution command; and use the whole-station execution command to control the operation of each energy storage converter to realize the active power regulation of the whole energy storage power station. 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 power output data is extracted, and the power increase margin of the whole station is calculated based on the first active power output data. The first active power output data includes at least: the historical maximum active power output and actual active power output of each of the energy storage converters; calculating the demand adjustment power based on the demand power and the current actual output, and obtaining a first power adjustment factor based on the overall station power margin and the demand adjustment power; calculating the pre-execution command corresponding to each of the energy storage converters based on the actual active power output and the historical maximum active power output corresponding to each of the energy storage converters, and the first power adjustment factor; and obtaining the power adjustment strategy, wherein if the power adjustment strategy is a power reduction adjustment strategy, then... The second active power output data is obtained, and the power reduction margin of the entire station is calculated based on the second active power output data. The second active power output data includes at least: the historical minimum active power output and the actual active power generated by each of the energy storage converters. The demand reduction adjustment power is calculated based on the demand power and the current actual output, and a second power adjustment factor is obtained based on the power reduction margin of the entire station and the demand reduction adjustment power. The pre-execution command corresponding to each of the energy storage converters is calculated based on the actual active power generated and the historical minimum active power output corresponding to each of the energy storage converters, as well as the second power adjustment factor. The correction module is further configured to calculate the SOC margin variance of all energy storage converters controlling the battery stacks within the entire energy storage power station based on the SOC margin of each battery stack; if the SOC margin variance is greater than a first preset threshold, then the pre-execution commands corresponding to the energy storage converters with the largest and smallest SOC margins in the battery stacks are paired and averaged to obtain corrected pre-execution commands; based on the corrected pre-execution commands, the pre-execution commands of the remaining energy storage converters within the entire energy storage power station are adjusted to obtain the final execution command for the entire station.

6. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 4.

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