Method for optimizing active small load distribution of wind farm agc based on energy storage device

Abstract

This invention relates to a method for optimizing active power load allocation in wind farms using AGC (Automatic Guided Vehicle) based on energy storage devices. The method compares the station-wide load regulation commands issued by the AGC system with a pre-set active power load allocation threshold to determine whether to execute the active power load allocation strategy. Based on the status signals from each wind turbine group and energy storage device within the station, it determines whether the corresponding wind turbine group and energy storage device participate in active power load allocation. Based on the current operating conditions of each wind turbine group and energy storage device participating in the load allocation, an active power load allocation strategy is designed to ensure that the active power output of the wind turbines and energy storage devices within each wind turbine group is not affected by the active power regulation dead zone, correctly responding to load regulation commands and ultimately achieving the target active power output. This invention solves the problem that current wind farm AGC systems cannot adjust the load effectively when the station-wide load regulation is small.

Description

Technical Field

[0001] This invention belongs to the field of wind power plant monitoring automation, and in particular, it is a method for optimizing the active power load allocation of wind farm AGC based on energy storage devices. Background Technology

[0002] Automatic generation control (AGC) systems can improve the power quality of the power grid, ensure the safety and stability of grid operation, and solve the problems of intermittency and uncertainty in wind power generation.

[0003] Energy storage devices possess excellent regulation characteristics. When combined with wind and solar power to form a power generation system, and in conjunction with an AGC (Active Power Control) system, they can significantly improve the overall active power output characteristics. This ensures the safe and reliable operation of complex power grids, improves the economic operation of the grid, and minimizes wind / solar curtailment. Based on the received target load value from the power plant, the AGC obtains the target active power of the current adjustable equipment (wind turbine group, energy storage device, etc.) through an active power control algorithm, and then adjusts the load size through active power closed-loop control.

[0004] The main active power allocation strategies of AGC include allocation based on regulation capacity, allocation based on regulation margin, and average allocation. However, when the change amplitude of the target value received by the AGC system is small, the active power command increment of the whole station is distributed among multiple wind turbine groups or energy storage devices. This may cause the active power allocation increment of the wind turbine or energy storage device to be less than its own active power regulation dead zone, resulting in the failure to execute active power regulation. This leads to the inability of the whole station active power regulation command to respond quickly and accurately, ultimately causing the AGC regulation to be unqualified, the AGC to fail to achieve the control target, and the control quality to decline. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes a method for optimizing the active power load allocation of wind farm AGC based on energy storage devices. This method ensures that the wind turbine group and energy storage devices correctly execute active power load regulation commands without being affected by the active power regulation dead zone of the wind turbines and energy storage devices, thereby effectively improving the control quality of the wind farm AGC system.

[0006] The specific technical solution of the present invention is as follows:

[0007] A method for optimizing the allocation of small active loads in wind farms using AGC based on energy storage devices includes the following steps:

[0008] Step (1) Compare the station-wide load adjustment command issued by the AGC system with the pre-set active small load allocation threshold value to determine whether to execute the active small load allocation strategy;

[0009] Step (2) If active small load allocation is performed, the corresponding wind turbine group and energy storage device will be evaluated based on the status signal feedback of each wind turbine group and energy storage device.

[0010] Step (3) Based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, the active small load distribution is carried out so that the active power output of the wind turbine units and the active power output of the energy storage devices in each wind turbine group are not affected by the active power regulation dead zone, and the load regulation command is correctly responded to and the target active power output is finally achieved.

[0011] Furthermore, in step (1), if equation (1) is satisfied, the small load allocation strategy is executed; otherwise, the non-small load allocation strategy is executed.

[0012] |ΔP|<P set (1)

[0013] ΔP - Increment of load regulation command for the entire station;

[0014] P set - Threshold value for active small load allocation.

[0015] Furthermore, the status signal feedback for each wind turbine group and energy storage device specifically indicates whether each wind turbine group is in an abnormal grid-connected operation state, and whether each energy storage device is in an abnormal grid-connected operation state or an output lockout state.

[0016] Furthermore, in step (2), the set F(n) of all n wind turbine groups in the station is first defined:

[0017] F(n) = {F1, F2...F...} n} (2)

[0018] Suppose there are m wind turbine groups in an abnormal grid-connected operation state, obtain the active power non-adjustable subset F(m) and active power adjustable subset F(nm) of F(n):

[0019]

[0020]

[0021] Meanwhile, define the set C(p) of all p energy storage devices at the entire station:

[0022] C(p) = {C1, C2...C} p} (5)

[0023] Suppose that P energy storage devices are in an abnormal grid-connected operation state or an output-locked state, obtain the active non-adjustable subset C(q) and the active adjustable subset C(pq) of C(p):

[0024]

[0025]

[0026] Further, in step (3), assuming that there are r active power increase lockouts in the active power adjustable wind turbine group when the load command increases or r active power decrease lockouts in the active power adjustable wind turbine group when the load command decreases, the wind turbine group subset F(r) with active power increase lockout or decrease lockout and the wind turbine group subset F(nmr) that can actually participate in the allocation in a single active power increase or decrease direction are obtained:

[0027]

[0028]

[0029] Arrange the wind turbine groups in the subset F(nmr) in descending order of their active power adjustability margin, and then randomly arrange the wind turbine groups with equal active power adjustability margins to obtain the set F(a):

[0030] F(a)={F a1 F a2 ...F a(n-m-r)} (10)

[0031] P y (F a1 )≥P y (F a2 )≥...≥P y (F a(n-m-r) (11)

[0032] Among them, P y (F ai ) indicates wind turbine group F ai Active power margin;

[0033] At the same time, the energy storage devices in subset C(pq) are configured according to the active power adjustable margin P. y Arranged in descending order of magnitude, energy storage devices with equal active power adjustability margins are randomly arranged one after the other to obtain the set of energy storage devices that can actually participate in energy allocation in the direction of a single increase or decrease in active power:

[0034] C(b)={C b1 C a2 ...C b(p-q)} (12)

[0035] P y (C b1 )≥P y (C b2 )≥...≥P y (Cb (p-q) (13)

[0036] Among them, P y (C bi ) indicates energy storage device C bi Active power margin;

[0037] At this point, the small load allocation selects the strategy priority based on demand, and is no longer constrained by the current strategy when certain boundary conditions are reached.

[0038] Furthermore, in step (3), the small load allocation selects a strategy priority based on demand, as follows:

[0039] 1) Adopt an energy storage device-priority regulation strategy

[0040] Under normal circumstances, energy storage devices reserve a reasonable dynamic active power reserve to perform functions such as wind curtailment control, power smoothing control, and auxiliary peak shaving and frequency regulation. Let the limit of its reserved dynamic active power margin be [value missing]. Active power allocation is performed according to the active power adjustability margin of the energy storage device in C(b):

[0041] ① When equation (14) is satisfied, the instruction ΔP is allocated to the energy storage device C. b1 ;

[0042]

[0043] ② When equation (15) is satisfied, the instruction ΔP is pressed... Numerical proportions are allocated to the corresponding energy storage device C b1 ...C b(i+1) .

[0044]

[0045] 2) Adopt a wind turbine group regulation priority strategy

[0046] Active power allocation is performed based on the adjustable active power margin of the wind turbine group in F(a):

[0047] ③ When equation (16) is satisfied, the instruction ΔP is assigned to the wind turbine group F. a1 ;

[0048] |ΔP|<P y (F a1 (16)

[0049] ④ When equation (17) is satisfied, the instruction ΔP is allocated to the corresponding wind turbine group F according to the active power adjustable margin ratio. a1 ...F a(i+1) ;

[0050]

[0051] Furthermore, in step (3), after adopting the wind turbine group regulation priority strategy, the following is also included: 3) Supplementary strategy

[0052] When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy:

[0053] When equation (18) is satisfied, active power allocation is performed according to the methods described in ① and ②.

[0054]

[0055] When equation (19) is satisfied, active power allocation is performed according to the methods described in ③ and ④.

[0056]

[0057] When both equations (18) and (19) are satisfied, the dynamic margin limit reserved by the energy storage device is not considered, and the command ΔP is allocated to the energy storage device C. b1 .

[0058] The present invention also relates to an active small load allocation system for wind farms based on energy storage devices, including a collector and a processor. The collector collects the load adjustment instructions for the entire station issued by the AGC system, and the processor receives the instructions from the collector, compares them with the preset active small load allocation threshold value, and determines whether to execute the active small load allocation strategy.

[0059] Based on the status signal feedback of each wind turbine group and energy storage device in the station, it is determined whether the corresponding wind turbine group and energy storage device participate in the active power small load distribution; based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, active power small load distribution is carried out in accordance with the above method, so that the active power output of each wind turbine and energy storage device is not affected by the active power regulation dead zone, and correctly responds to the load regulation command to finally achieve the target active power output.

[0060] The present invention also relates to an electronic device, including a memory, a processor, and a computer program on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the above-described method.

[0061] The present invention also relates to a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0062] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0063] Based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, this invention designs an active small load distribution strategy. This strategy can ensure that the wind turbine group and energy storage device correctly execute the active small load adjustment command without being affected by the active power adjustment dead zone of the wind turbine and energy storage device, and ultimately achieve the active power adjustment target, thereby improving the AGC control quality and solving the problem that the current wind farm automatic generation control (AGC) cannot adjust in place when the total load adjustment is small. Attached Figure Description

[0064] Figure 1This is a flowchart of the method implemented in the embodiment;

[0065] Figure 2 This is a block diagram of a system according to an embodiment of the present invention. Detailed Implementation

[0066] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0067] Unless otherwise defined, the technical or scientific terms used in the embodiments of this application shall have the ordinary meaning understood by one of ordinary skill in the art. The terms "first," "second," and similar terms used in this embodiment do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Installed," "connected," and "linked" should be interpreted broadly; for example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal connection of two elements. Terms such as "upper," "lower," "left," "right," "horizontal," and "vertical" are used only relative to the orientation of the components in the accompanying drawings. These directional terms are relative concepts used for relative description and clarification, and they may change accordingly depending on the orientation of the components in the accompanying drawings.

[0068] like Figure 1 As shown, this embodiment describes an optimized AGC (Automatic Guided Vehicle) method for allocating small active loads in wind farms based on energy storage devices. The implementation platform consists of a wind farm turbine group monitoring system, an energy management platform, and an AGC substation. The method includes the following steps:

[0069] Step (1) Design the control strategy logic according to the specific requirements of the wind turbine group monitoring system, energy management platform and AGC substation.

[0070] The system compares the load adjustment commands issued by the wind farm's automatic voltage control (AGC) system with the pre-set active power load allocation threshold to determine whether to implement the active power load allocation strategy.

[0071] When equation (1) is satisfied, the low-load allocation strategy is executed; otherwise, the non-low-load allocation strategy is executed.

[0072] |ΔP|<P set (1)

[0073] ΔP - Increment of load regulation command for the entire station;

[0074] P set - Threshold value for active small load allocation.

[0075] Step (2) If active power load sharing is performed, based on the status signals of each wind turbine in the station's wind turbine group, feedback is given on whether each wind turbine group is in an abnormal grid-connected operation state and whether each energy storage device is in an abnormal grid-connected operation state or an output lockout state, to determine whether the corresponding wind turbine group and energy storage device participate in active power load sharing:

[0076] First, define the set F(n) within the n wind turbine clusters of the entire station:

[0077] F(n) = {F1, F2...F...} n} (2)

[0078] Assuming there are m wind turbine groups in abnormal grid-connected operation states such as disconnection, maintenance, or fault, we obtain the active non-adjustable wind turbine subset F(m) and the active adjustable wind turbine subset F(nm) of F(n):

[0079]

[0080]

[0081] Meanwhile, define the set C(p) of all p energy storage devices at the entire station:

[0082] e(p) = {C1, C2...C} p} (5)

[0083] Suppose that P energy storage devices are in an abnormal grid-connected operation state or an output-locked state, obtain the active non-adjustable subset C(q) and the active adjustable subset C(pq) of C(p):

[0084]

[0085]

[0086] Step (3) Based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, design an active small load distribution strategy to ensure that the active power output of the wind turbine units and the active power output of the energy storage devices in each wind turbine group are not affected by their active power regulation dead zone, and correctly respond to the load regulation command to finally achieve the target active power output.

[0087] Assuming that there are r active power increase lockouts in the adjustable active power fan group when the load command increases or r active power decrease lockouts in the adjustable active power fan group when the load command decreases, we obtain the fan group subset F(r) with active power increase or decrease lockouts and the fan group subset F(nmr) that can actually participate in the allocation in a single active power increase or decrease direction:

[0088]

[0089]

[0090] Arrange the wind turbine groups in the subset F(nmr) in descending order of their active power adjustability margin, and then randomly arrange the wind turbine groups with equal active power adjustability margins to obtain the set F(a):

[0091] F(a)={F a1 F a2 ...F a(n-m-r)} (10)

[0092] P y (F a1 )≥P y (F a2 )≥...≥P y (F a(n-m-r) (11)

[0093] Among them, P y (F ai ) indicates wind turbine group F ai The available margin for active power adjustment.

[0094] Simultaneously, the energy storage devices in subset C(pq) are arranged in descending order of their active power adjustability margin, and energy storage devices with equal active power adjustability margins are randomly arranged one after the other to obtain the set of energy storage devices that can actually participate in allocation in a single increase or decrease in active power:

[0095] C(b)={C b1 C a2 ...C b(p-q)} (12)

[0096] P y (C b1 )≥P y (C b2 )≥...≥P y (C b(p-q) (13)

[0097] Among them, P y (C bi ) indicates energy storage device C bi The available margin for active power adjustment.

[0098] At this point, the small load allocation selects a strategy priority based on demand. When certain boundary conditions are met, it is no longer constrained by the current strategy, as follows:

[0099] 1) Adopt a priority strategy for regulating energy storage devices.

[0100] Under normal circumstances, energy storage devices need to reserve a reasonable dynamic active power reserve to perform functions such as wind curtailment control, power smoothing control, primary frequency regulation, and auxiliary peak shaving. Let the limit of its reserved dynamic active power margin be... Active power allocation is performed according to the active power adjustability margin of the energy storage device in C(b):

[0101] ① When equation (14) is satisfied, the instruction ΔP is allocated to the energy storage device C. b1 ;

[0102]

[0103] ② When equation (15) is satisfied, the instruction ΔP is pressed... Numerical proportions are allocated to the corresponding energy storage device C b1 ...C b(i+1) .

[0104]

[0105] 2) Adopt a wind turbine group regulation priority strategy.

[0106] Active power allocation is performed based on the adjustable active power margin of the wind turbine group in F(a):

[0107] ③ When equation (16) is satisfied, the instruction ΔP is assigned to the wind turbine group F. a1 ;

[0108] |ΔP|<P y (F a1 (16)

[0109] ④ When equation (17) is satisfied, the instruction ΔP is allocated to the corresponding wind turbine group F according to the active power adjustable margin ratio. a1 ...F a(i+1) .

[0110]

[0111] 3) Supplementary strategies.

[0112] When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy:

[0113] When equation (18) is satisfied, active power allocation is performed according to the methods described in ① and ②.

[0114]

[0115] When equation (19) is satisfied, active power allocation is performed according to the methods described in ③ and ④.

[0116]

[0117] When both equations (18) and (19) are satisfied, the dynamic margin limit reserved by the energy storage device is not considered, and the command ΔP is allocated to the energy storage device C. b1 .

[0118] like Figure 2 As shown, the system in this embodiment includes a data collector, a processor, a memory, a display, and an input terminal. The data collector collects the active power regulation commands issued by the AGC system for the entire station. The processor receives the commands from the data collector, compares them with the pre-set active power small load allocation threshold value, and determines whether to execute the active power small load allocation strategy. Based on the status signal feedback of each wind turbine group and energy storage device in the station, it determines whether the corresponding wind turbine group and energy storage device participate in the active power small load allocation. Based on the current operating conditions of each wind turbine group and energy storage device participating in the small load allocation, active power small load allocation is performed. By following the above method, the active power output of each wind turbine unit is not affected by the active power regulation dead zone of the unit, and the active power regulation commands are correctly responded to, ultimately achieving the regulation of active power output.

[0119] The memory stores the relevant information, and the display and input terminals can be existing displays with buttons or touch screens.

[0120] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software through processing element calls; they can be implemented entirely in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware.

[0121] The processing element described herein can be an integrated circuit with signal processing capabilities. In implementation, each step or module of the above method can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0122] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0123] Optionally, embodiments of this application also provide a storage medium storing instructions that, when run on a computer, cause the computer to perform the methods described in the above embodiments.

[0124] Optionally, embodiments of this application also provide a chip for executing instructions, the chip being used to execute the methods of the embodiments shown above.

[0125] This application also provides a program product, which includes a computer program stored in a storage medium. At least one processor can read the computer program from the storage medium, and when the at least one processor executes the computer program, it can implement the method of the above embodiments.

[0126] It is understood that, in the embodiments of this application, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0127] As an application example of this embodiment:

[0128] A wind farm is equipped with 5 wind turbine groups {F1, F2, F3, F4, F5} and 3 energy storage devices {C1, C2, C3}, with a small load distribution threshold value P set. set =3.0MW.

[0129] The capacity of a single wind turbine group is 20.0MW; the capacity of a single energy storage device is ±5.0MW, with a reserved dynamic active power margin of ±2.5MW.

[0130] The operating status and data of each wind turbine group and energy storage device collected by the wind turbine monitoring system and energy management platform are sent to the AGC system for logical judgment and active power allocation calculation. Table 1 shows the typical results of this example.

[0131] Table 1

[0132]

[0133]

[0134] Therefore, this embodiment designs an active small load allocation strategy based on the current operating conditions of each wind turbine group and energy storage device participating in the small load allocation. This can ensure that the wind turbine group and energy storage device correctly execute the active small load adjustment command without being affected by the active load adjustment dead zone of the wind turbine and energy storage device, and ultimately achieve the active load adjustment target, improve the AGC control quality, and solve the problem that the current wind farm automatic generation control (AGC) cannot adjust in place when the load adjustment amount of the whole station is small.

[0135] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optimizing wind farm AGC active power small load distribution based on energy storage devices, characterized in that: Includes the following steps: Step (1) Compare the station-wide load adjustment command issued by the AGC system with the pre-set active small load allocation threshold value to determine whether to execute the active small load allocation strategy; Step (2) If active small load allocation is performed, determine whether the corresponding wind turbine group and energy storage device participate in active small load allocation based on the status signal feedback of each wind turbine group and energy storage device. In step (2), the total station is first defined n a set of fan groups : （2） Provided are m a fan group in an abnormal grid-connected operation state, obtaining an active non-adjustable subset and an active adjustable subset : （3） （4） Simultaneously define total station p Collection of station energy storage devices C ( p ): （5） Assuming q energy storage devices are in abnormal grid-connected operation or output-locked state, the following information is obtained: The active non-tunable subset and functionally adjustable subsets : （6） （7）； C(pq) represents the active adjustable subset; Step (3) Based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, the active small load distribution is carried out so that the active output of the wind turbine units and the active output of the energy storage device in each wind turbine group are not affected by the active power regulation dead zone, and the load regulation command is correctly responded to and the target active power output is finally achieved. In step (3), it is assumed that when the load command increases, there are adjustable active power fans in the fan group. r In a group of adjustable active power fans, there is an active power increase interlock or load decrease command. r For each active power reduction interlock, a subset of the wind turbine group with active power increase interlock or decrease interlock is obtained. The subset of wind turbine groups that can actually participate in allocation in the direction of a single increase or decrease in active power. : （8） （9） subset The wind turbine groups in the set are arranged in descending order of their active power adjustability margin, and wind turbine groups with equal active power adjustability margins are arranged randomly in front and behind, resulting in the set. : （10） （11） in, Indicates wind turbine group Active power margin; At the same time, subset The energy storage device in the middle is based on the active power adjustable margin P y Arranged in descending order of magnitude, energy storage devices with equal active power adjustability margins are randomly arranged one after the other to obtain the set of energy storage devices that can actually participate in energy allocation in the direction of a single increase or decrease in active power: （12） （13） in, Indicates energy storage device Active power margin; At this point, the small load allocation selects the strategy priority based on demand, and is no longer constrained by the current strategy when certain boundary conditions are reached.

2. The method according to claim 1, characterized in that: In step (1), if equation (1) is satisfied, the small load allocation strategy is executed; otherwise, the non-small load allocation strategy is executed. （1） -Incremental load adjustment command for the entire station; - Threshold value for active small load allocation.

3. The method according to claim 1, characterized in that: The status signal feedback for each wind turbine group and energy storage device specifically indicates whether each wind turbine group is in an abnormal grid-connected operation state, and whether each energy storage device is in an abnormal grid-connected operation state or an output lockout state.

4. The method according to claim 1, characterized in that: In step (3), the small load allocation strategy is selected based on demand priority, as follows: 1) Adopt an energy storage device-priority regulation strategy Under normal circumstances, energy storage devices reserve a reasonable dynamic active power reserve to perform functions such as wind curtailment control, power smoothing control, and auxiliary peak shaving and frequency regulation. Let the limit of its reserved dynamic active power margin be [value missing]. ,according to The active power distribution is carried out using the active power adjustable margin of the medium-sized energy storage device: ① When equation (14) is satisfied, the instruction will be... Distributed to energy storage devices ; （14） ② When equation (15) is satisfied, the instruction will be... according to Numerical proportions are allocated to the corresponding energy storage devices ; （15） 2) Adopt a wind turbine group regulation priority strategy according to Active power allocation is performed based on the adjustable active power margin of the stroke generator group: ③ When equation (16) is satisfied, the instruction will be... Allocated to wind turbine group ; （16） ④ When equation (17) is satisfied, the instruction will be... Allocation is based on the proportion of adjustable active power margin to the corresponding wind turbine group. ; （17）。 5. The method according to claim 1, characterized in that: In step (3), after adopting the wind turbine group regulation priority strategy, the following is also included: 3) Supplementary strategy When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy: When equation (18) is satisfied, active power allocation is performed according to the methods described in ① and ②. （18） When equation (19) is satisfied, active power allocation is performed according to the methods described in ③ and ④. （19） When both equations (18) and (19) are satisfied, the dynamic margin limit reserved by the energy storage device is not considered, and the command is executed. Distributed to energy storage devices .

6. A system for optimizing the allocation of active power loads in a wind farm using AGC based on an energy storage device, characterized in that: It includes a data collector and a processor. The data collector collects the station-wide load adjustment instructions issued by the AGC system. The processor receives the instructions from the data collector, compares them with the pre-set active small load allocation threshold value, and determines whether to execute the active small load allocation strategy. Based on the status signal feedback of each wind turbine group and energy storage device in the station, it is determined whether the corresponding wind turbine group and energy storage device participate in the active power small load distribution; based on the current operating conditions of each wind turbine group and energy storage device participating in the small load distribution, active power small load distribution is carried out in accordance with the method described in any one of claims 1 to 5, so that the active power output of each wind turbine and energy storage device is not affected by the active power regulation dead zone, and correctly responds to the load regulation command to finally achieve the target active power output.

7. An electronic 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 described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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