Wind power plant active power control method and system suitable for minute change rate

Abstract

The invention discloses a wind power plant active power control method and system suitable for a minute change rate. The method comprises the following steps: determining 1-minute and 10-minute active power change rate limit values of a wind power plant according to the installed capacity of the wind power plant; the real-time active power value is stored in a 1-minute and 10-minute active power historical data array, and data exceeding a time window is cleared; setting the minute change rate limited power active power target value Pt as the minimum value in the 1 minute limited power target value and the 10 minute limited power target value; a minute change rate limited power active target value Pt is used as an active control target value P issued by the wind power plant in a default mode, and when an active control deviation is larger than a threshold value T for continuous N periods, the active control target value P is increased through a superposition optimization strategy; and when the active control deviation is not greater than the threshold value T for continuous N periods, the minute change rate limited power target value Pt is used as the actually issued control target value P. According to the method, the power generation loss caused by active control is reduced by adaptively adjusting the active control target value under the minute change rate.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method, system, storage medium and computing device for controlling active power of a wind farm with a minute change rate. Background Art

[0002] In recent years, offshore wind power generation has developed rapidly, and the installed capacity has continued to set new records. At the same time, the rising capacity of offshore wind power has also brought huge challenges to the stable operation of the power grid. Compared with onshore wind power, the installed capacity of offshore wind power is generally larger, which makes the precise control of energy management more difficult. The "GB / T 19963.1-2021 Technical Regulations for Wind Farm Access to the Power System" puts forward requirements for minute change rates. For wind farms with an installed capacity of Pn>150MW, the 10-minute active power change rate limit is 50MW, and the 1-minute active power change rate limit is 15MW. Since the maximum limit of the minute change rate is fixed, the larger the capacity of the wind farm, the higher the requirements for active power control. Therefore, it is necessary to study the active power control method applicable to the minute change rate of large-capacity offshore wind farms, to ensure the national standard regulations and the safe and stable operation of the power grid, and to optimize the power generation operation benefits.

[0003] The general method of controlling the minute active power change rate is to add an amount that satisfies both the 1-minute active power change rate limit and the 10-minute active power change rate limit to the current power for control. However, for large-capacity offshore wind farms, the difference between the active power target value and the actual active power value is small. Deviations in the active power allocation algorithm will cause the wind farm's active power to rise slowly or not rise at all, which causes unnecessary power generation losses to the wind farm.

[0004] Chinese invention patent application CN106786669B discloses a method that uses power prediction values ​​as input to determine whether future active power change values ​​will exceed the limit. If they do not exceed the limit, the wind farm will not be subject to minute change rate restrictions. However, this method relies on wind speed and power prediction values, and its use is relatively limited, affected by the accuracy of the power prediction values ​​provided. Summary of the invention

[0005] The present invention aims to solve the problem that the active power of wind farms, especially large-capacity offshore wind farms, rises slowly or does not rise under the limit of minute change rate, thus causing power generation loss. To this end, an active power control method for wind farms with minute change rate is proposed. By adaptively adjusting the active power control target value under the limit of minute change rate, the power generation loss caused by active power control is reduced, so as to constrain the active power change and ensure the safe and stable operation of the power grid.

[0006] A second object of the present invention is to provide a wind farm active power control system suitable for minute change rate.

[0007] A third object of the present invention is to provide a storage medium.

[0008] A fourth object of the present invention is to provide a computing device.

[0009] The first object of the present invention is achieved by the following technical solution: A method for controlling active power of a wind farm applicable to a minute change rate comprises the following steps: Initialize and read the installed capacity Pn of the wind farm, and confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm according to the installed capacity Pn of the wind farm; Initialize and maintain active power historical data arrays with time windows of 1 minute and 10 minutes, save the real-time active power values ​​to these two arrays, and clear the historical power data that exceeds the time window; The minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm are summed to calculate the 1-minute power limit target value Pt1; the minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm are summed to calculate the 10-minute power limit target value Pt10; the minute change rate power limit active target value Pt is set to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); Use the minute change rate limited power active target value Pt as the active control target value P actually issued by the wind farm, initialize and maintain the active control deviation array of the whole farm, where the active control deviation is the difference between the active control target value P of the previous control cycle and the active actual value of the current cycle; When the active power control deviation is greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in a stable or declining state. In this state, the probability that the real-time active power exceeds the active power target value Pt of the minute change rate limited power is small. At this time, the active power control target value P is increased to avoid the power generation loss caused by the low active power control target value; When the active power control deviation is not greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in an increasing or fluctuating state. In this state, the probability that the real-time active power exceeds the minute change rate limited power active power target value Pt is high. At this time, the minute change rate limited power active power target value Pt is used as the actual issued active power control target value P.

[0010] Furthermore, the power generation loss caused by the low active power control target value can be avoided by increasing the active power control target value P. The specific implementation process is as follows: When the active control deviation is greater than the threshold T for N consecutive cycles, the superposition optimization strategy is enabled; The value of the initial superposition deviation is 0. When the active control deviation is greater than the threshold value T, the active control deviation is accumulated and calculated, and the superposition deviation += active control deviation * Ki, where Ki is the coefficient of the control deviation accumulation rate; when the active control deviation is between 0 and the threshold value T, the active control deviation is not accumulated; when the active control deviation is between the negative threshold value -T and 0, the superposition deviation needs to be added with the negative active control deviation * Ki; if the active control deviation is less than the negative threshold value -T, at this time, the actual active value of the whole field is lower than the active target value Pt of the minute change rate limited power, the superposition optimization strategy should be exited immediately, and the superposition deviation should be reset to 0; When the superimposed deviation is greater than 0, the active power control target value P is the minute change rate limited power active power target value Pt plus the superimposed deviation. When the superimposed deviation is less than or equal to 0, the minute change rate limited power active power target value Pt is used as the active power control target value P for issuance.

[0011] Furthermore, the installed capacity Pn of the wind farm is read from the wind farm configuration. Based on the requirements for minute change rate in GB / T 19963.1-2021 Technical Regulations for Wind Farm Access to Power System, the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 are confirmed according to the installed capacity Pn of the wind farm, as follows: When Pn is less than 30MW, the 10-minute active power change rate limit L10 is 10MW, and the 1-minute active power change rate limit L1 is 3MW; When 30≤Pn≤150MW, the 10-minute active power change rate limit L10 is Pn / 3MW, and the 1-minute active power change rate limit L1 is Pn / 10MW; When Pn>150MW, the 10-minute active power change rate limit L10 is 50MW, and the 1-minute active power change rate limit L1 is 15MW.

[0012] Furthermore, the active power historical data arrays with time windows of 1 minute and 10 minutes are initialized and maintained. The active power of the wind farm is calculated at a frequency of m times refreshed in 1 second, so the size of the 1-minute active power historical data array is 60m, and the size of the 10-minute active power historical data array is 600m. In each iteration, the current wind farm active power is added to the above 1-minute active power historical data array and 10-minute active power historical data array, and the historical power data outside the time window is removed.

[0013] The second object of the present invention is achieved by the following technical solution: an active power control system for a wind farm applicable to a minute change rate, used to implement the above-mentioned active power control method for a wind farm applicable to a minute change rate, comprising: The initialization module is used to initialize and read the installed capacity Pn of the wind farm, and confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm according to the installed capacity Pn of the wind farm; initialize and maintain the active power historical data arrays with time windows of 1 minute and 10 minutes, and save the real-time active power values ​​to the two arrays, and clear the historical power data beyond the time window; The minute change rate active power target value calculation module is used to calculate the 1-minute power limit target value Pt1 by summing the minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm; calculate the 10-minute power limit target value Pt10 by summing the minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm; set the minute change rate power limit active power target value Pt to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); The control module uses the minute change rate limited power active target value Pt as the active control target value P of the wind farm by default, initializes and maintains the active control deviation array of the whole farm, where the active control deviation is the difference between the active control target value P of the previous control cycle and the active actual value of the current cycle; when the active control deviation is greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in a stable or declining state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is small. At this time, the active control target value P is increased to avoid the loss of power generation caused by the low active control target value; when the active control deviation is not greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in an increasing or fluctuating state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is high. At this time, the minute change rate limited power active target value Pt is used as the active control target value P actually issued.

[0014] The third object of the present invention is achieved through the following technical solution: a storage medium stores a program, and when the program is executed by a processor, the above-mentioned wind farm active power control method applicable to minute change rate is implemented.

[0015] The fourth objective of the present invention is achieved through the following technical solution: a computing device, comprising a processor and a memory for storing a program executable by the processor, wherein when the processor executes the program stored in the memory, the above-mentioned wind farm active power control method applicable to minute change rate is implemented.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: Based on the current and historical operating data of the wind farm, it is determined whether the power is currently in a state of rapid power increase. The present invention optimizes the control logic according to different operating states. When the real-time active power is in a stable or declining state, it can adaptively adjust the active power control target value under the minute change rate limit to reduce the power generation loss caused by the control input of the minute change rate limit; when the real-time active power is in a rapid increase state, the minute change rate limited power target value is used as the control target value to constrain the active power change and ensure the safe and stable operation of the power grid. Compared with conventional algorithms, the present invention automatically enables the superposition optimization strategy by judging the current operating state through historical data, and reduces the active power loss caused by control by reducing the degree of active power control. The superposition optimization strategy can run independently and adaptively adjust, does not rely on the output results of other parts, and has high reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The control principle diagram of the method of the present invention.

[0018] Figure 2 Schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0019] The present invention is further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0020] Example 1 This embodiment discloses a method for controlling active power of a wind farm applicable to a minute change rate, such as Figure 1 The specific situation is as follows: Read the wind farm installed capacity Pn from the wind farm configuration. Based on the minute change rate requirements in GB / T 19963.1-2021 Technical Regulations for Wind Farm Access to Power System, confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 according to the wind farm installed capacity Pn, as follows: When Pn is less than 30MW, the 10-minute active power change rate limit L10 is 10MW, and the 1-minute active power change rate limit L1 is 3MW; When 30≤Pn≤150MW, the 10-minute active power change rate limit L10 is Pn / 3MW, and the 1-minute active power change rate limit L1 is Pn / 10MW; When Pn>150MW, the 10-minute active power change rate limit L10 is 50MW, and the 1-minute active power change rate limit L1 is 15MW; Assuming that the installed capacity of the wind farm is 500MW, the 10-minute active power change rate limit L10 is 50MW, and the 1-minute active power change rate limit L1 is 15MW.

[0021] Initialize and maintain the 1-minute active power historical data array and the 10-minute active power historical data array. The wind farm active power is refreshed once per second, so the 1-minute active power historical data array size is 60, and the 10-minute active power historical data array size is 600. In each iteration, the current wind farm active power is added to the above 1-minute active power historical data array and the 10-minute active power historical data array, and the historical power data outside the time window is removed.

[0022] The 1-minute power limit target value Pt1 is calculated by summing the minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm; the 10-minute power limit target value Pt10 is calculated by summing the minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm; the minute change rate limited power active target value Pt is set to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); for example, if the minimum active value within 1 minute is 382MW, then the 1-minute power limit target value is 382+15=397MW, and the minimum active value within 10 minutes is 336MW, then the 10-minute power limit target value is 336+50=386MW, the smaller of the two is 386MW, and the minute change rate limited power active target value Pt is 386MW.

[0023] By default, the active power target value Pt of the minute change rate limited power is used as the active power control target value P of the wind farm, and the active power control deviation array of the whole farm is initialized and maintained, where the active power control deviation is the difference between the active power control target value of the previous control cycle and the active power actual value of the current cycle; Determine whether it is currently in the superposition optimization strategy, the default is no; if it is not in the superposition optimization strategy, use the minute change rate limited power active target value Pt as the actual active control target value P, and calculate the difference between the active control target value issued in the previous control cycle and the active actual value of the current cycle, and store the difference in the active control deviation array.

[0024] When the active power control deviation is greater than the threshold value T for N consecutive cycles, it can be considered that the real-time active power of the wind farm is in a stable or declining state. In this state, the probability that the active power exceeds the active power target value Pt of the minute change rate limit power is small. At this time, the active power control target value P can be increased to avoid the power generation loss caused by the low active power control target value. The specific implementation process is as follows: a) When the active control deviation is greater than the threshold value T for N consecutive cycles, the superposition optimization strategy is enabled, where the number of cycles N and the threshold value T are manually set values. By modifying the number of cycles N and the threshold value T, the sensitivity of activating the superposition optimization strategy can be controlled; b) Initialize the value of the superimposed deviation to 0. When the active control deviation is greater than the threshold value T, it is considered that the actual active value is significantly different from the control target value, and the active control deviation can be accumulated. The accumulated deviation is initially 0 and is continuously accumulated through multiple iterations. The accumulation method is: superimposed deviation += active control deviation * Ki, where Ki is the coefficient of the control deviation accumulation rate, which is a manually set value; when the active control deviation is between 0 and the threshold value T, the active control deviation is not accumulated; when the active control deviation is between the threshold value -T and 0, the value of the superimposed deviation needs to be reduced. Since the active control deviation is signed, it can be processed together in the actual calculation. Specifically, the superimposed deviation needs to be added with the negative active control deviation * Ki; if the active control deviation is less than the threshold value -T, at this time, the actual active value of the whole field is greater than the active target value Pt of the minute change rate limited power, the superimposed optimization strategy should be exited immediately and the superimposed deviation should be reset to 0; c) When the superimposed deviation is greater than 0, the active power control target value P is the minute change rate limit power active power target value Pt plus the superimposed deviation. When the superimposed deviation is less than or equal to 0, the minute change rate limit power target value Pt is used as the active power control target value P for issuance.

[0025] When the active power control deviation is not greater than the threshold value T for N consecutive cycles, it can be considered that the active power of the wind farm is in an increasing or fluctuating state. In this state, the probability that the active power exceeds the specified minute change rate active power target value is high. At this time, the minute change rate limit power target value Pt is used as the actual control target value P, which is sent to each wind turbine in the wind farm.

[0026] Example 2 This embodiment discloses a wind farm active power control system applicable to minute change rate, which is used to implement the wind farm active power control method applicable to minute change rate described in Embodiment 1, such as Figure 2 As shown, it includes the following functional modules: The initialization module is used to initialize and read the installed capacity Pn of the wind farm, and confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm according to the installed capacity Pn of the wind farm; initialize and maintain the active power historical data arrays with time windows of 1 minute and 10 minutes, and save the real-time active power values ​​to the two arrays, and clear the historical power data beyond the time window; The minute change rate active power target value calculation module is used to calculate the 1-minute power limit target value Pt1 by summing the minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm; calculate the 10-minute power limit target value Pt10 by summing the minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm; set the minute change rate power limit active power target value Pt to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); The control module uses the minute change rate limited power active target value Pt as the active control target value P of the wind farm by default, initializes and maintains the active control deviation array of the whole farm, where the active control deviation is the difference between the active control target value P of the previous control cycle and the active actual value of the current cycle; when the active control deviation is greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in a stable or declining state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is small. At this time, the active control target value P is increased to avoid the loss of power generation caused by the low active control target value; when the active control deviation is not greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in an increasing or fluctuating state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is high. At this time, the minute change rate limited power active target value Pt is used as the active control target value P actually issued.

[0027] Example 3 This embodiment discloses a storage medium storing a program. When the program is executed by a processor, the method for controlling active power of a wind farm applicable to a minute change rate described in Embodiment 1 is implemented.

[0028] The storage medium in this embodiment can be a disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), a USB flash drive, a mobile hard disk, or the like.

[0029] Example 4 This embodiment discloses a computing device, including a processor and a memory for storing a program executable by the processor. When the processor executes the program stored in the memory, the wind farm active power control method applicable to minute change rate described in Embodiment 1 is implemented.

[0030] The computing device described in this embodiment may be a desktop computer, a laptop computer, a smart phone, a PDA handheld terminal, a tablet computer, a programmable logic controller (PLC), or other terminal devices with a processor function.

[0031] The above embodiments are preferred implementation modes of the present invention, but the implementation modes of the present invention are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present invention should be equivalent replacement methods and are included in the protection scope of the present invention.

Claims

1. A method for controlling active power of a wind farm applicable to minute rate of change, characterized in that: The following steps are involved: Initialize and read the installed capacity Pn of the wind farm, and confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm according to the installed capacity Pn of the wind farm; Initialize and maintain active power historical data arrays with time windows of 1 minute and 10 minutes, save the real-time active power values ​​to these two arrays, and clear the historical power data that exceeds the time window; The minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm are summed to calculate the 1-minute power limit target value Pt1; The minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm are summed to calculate the 10-minute power limit target value Pt10; the minute change rate limit power active target value Pt is set to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); Use the minute change rate limited power active target value Pt as the active control target value P actually issued by the wind farm, initialize and maintain the active control deviation array of the whole farm, where the active control deviation is the difference between the active control target value P of the previous control cycle and the active actual value of the current cycle; When the active power control deviation is greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in a stable or declining state. In this state, the probability that the real-time active power exceeds the active power target value Pt of the minute change rate limited power is small. At this time, the active power control target value P is increased to avoid the power generation loss caused by the low active power control target value; When the active power control deviation is not greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in an increasing or fluctuating state. In this state, the probability that the real-time active power exceeds the minute change rate limited power active power target value Pt is high. At this time, the minute change rate limited power active power target value Pt is used as the actual issued active power control target value P.

2. A wind farm active power control method applicable to minute change rate according to claim 1, characterized in that: By increasing the active power control target value P, the power generation loss caused by the low active power control target value can be avoided. The specific implementation process is as follows: When the active control deviation is greater than the threshold T for N consecutive cycles, the superposition optimization strategy is enabled; The value of the initial superposition deviation is 0. When the active control deviation is greater than the threshold value T, the active control deviation is accumulated and calculated. The superposition deviation += active control deviation * Ki, where Ki is the coefficient of the control deviation accumulation rate; when the active control deviation is between 0 and the threshold value T, the active control deviation is not accumulated; when the active control deviation is between the threshold value -T and 0, the superposition deviation needs to be added with the negative active control deviation * Ki; If the active power control deviation is less than the negative threshold -T, the actual value of the whole field active power is lower than the active power target value Pt of the minute change rate limit power, and the superposition optimization strategy should be exited immediately, and the superposition deviation should be reset to 0; When the superimposed deviation is greater than 0, the active power control target value P is the minute change rate limited power active power target value Pt plus the superimposed deviation. When the superimposed deviation is less than or equal to 0, the minute change rate limited power active power target value Pt is used as the active power control target value P for issuance.

3. The method for controlling active power of a wind farm applicable to minute rate of change according to claim 1, characterized in that: Read the wind farm installed capacity Pn from the wind farm configuration. Based on the minute change rate requirements in GB / T 19963.1-2021 Technical Regulations for Wind Farm Access to Power System, confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 according to the wind farm installed capacity Pn, as follows: When Pn is less than 30MW, the 10-minute active power change rate limit L10 is 10MW, and the 1-minute active power change rate limit L1 is 3MW; When 30≤Pn≤150MW, the 10-minute active power change rate limit L10 is Pn / 3MW, and the 1-minute active power change rate limit L1 is Pn / 10MW; When Pn>150MW, the 10-minute active power change rate limit L10 is 50MW, and the 1-minute active power change rate limit L1 is 15MW.

4. The method for controlling active power of a wind farm applicable to minute rate of change according to claim 1, characterized in that: Initialize and maintain the active power historical data arrays with time windows of 1 minute and 10 minutes. The active power of the wind farm is calculated at a frequency of m times per second, so the size of the 1-minute active power historical data array is 60m, and the size of the 10-minute active power historical data array is 600m. In each iteration, the current wind farm active power is added to the above 1-minute active power historical data array and 10-minute active power historical data array, and the historical power data outside the time window is removed.

5. A wind farm active power control system suitable for minute change rate, characterized in that: The method for controlling active power of a wind farm applicable to a minute change rate for implementing any one of claims 1 to 4 comprises: The initialization module is used to initialize and read the installed capacity Pn of the wind farm, and confirm the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm according to the installed capacity Pn of the wind farm; initialize and maintain the active power historical data arrays with time windows of 1 minute and 10 minutes, and save the real-time active power values ​​to the two arrays, and clear the historical power data beyond the time window; The minute change rate active power target value calculation module is used to calculate the 1-minute power limit target value Pt1 by summing the minimum value of the 1-minute active power historical data array and the 1-minute active power change rate limit value L1 of the wind farm; calculate the 10-minute power limit target value Pt10 by summing the minimum value of the 10-minute active power historical data array and the 10-minute active power change rate limit value L10 of the wind farm; set the minute change rate power limit active power target value Pt to the minimum value of the 1-minute power limit target value Pt1 and the 10-minute power limit target value Pt10, that is, Pt=min(Pt1,Pt10); The control module uses the minute change rate limited power active target value Pt as the active control target value P of the wind farm by default, initializes and maintains the active control deviation array of the whole farm, where the active control deviation is the difference between the active control target value P of the previous control cycle and the active actual value of the current cycle; when the active control deviation is greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in a stable or declining state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is small. At this time, the active control target value P is increased to avoid the loss of power generation caused by the low active control target value; when the active control deviation is not greater than the threshold value T for N consecutive cycles, it is considered that the real-time active power of the wind farm is in an increasing or fluctuating state, and the probability of the real-time active power exceeding the minute change rate limited power active target value Pt in this state is high. At this time, the minute change rate limited power active target value Pt is used as the active control target value P actually issued.

6. A storage medium storing a program, characterized in that: When the program is executed by a processor, the active power control method for a wind farm applicable to a minute change rate according to any one of claims 1 to 4 is implemented.

7. A computing device comprising a processor and a memory for storing a program executable by the processor, characterized in that: When the processor executes the program stored in the memory, the active power control method for a wind farm applicable to a minute change rate according to any one of claims 1 to 4 is implemented.

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