A method and system for active power control of a wind farm suitable for minute change rate

Abstract

The application discloses a kind of active control method and system suitable for minute change rate of wind farm, comprising: confirming wind farm 1 minute, 10 minutes active power change rate limit according to wind farm installed capacity;Real-time active power value is saved to 1 minute, 10 minutes active power historical data array, and data exceeding time window is cleared;Set minute change rate limit power active target value Pt as the minimum in 1 minute, 10 minutes limit power target value;Default using minute change rate limit power active target value Pt as the active control target value P issued by wind farm, when active control deviation is greater than threshold T for continuous N cycles, using superposition optimization strategy to improve active control target value P;When active control deviation is not greater than threshold T for continuous N cycles, using minute change rate limit power target value Pt as the control target value P actually issued.The application reduces power generation loss caused by active control by adaptively adjusting active control target value under minute change rate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power generation, in particular to a wind farm active power control method and system suitable for minute change rate, a storage medium and a computing device. BACKGROUND

[0002] In recent years, offshore wind power has developed rapidly, and the installed capacity has been continuously breaking records. At the same time, the increasing capacity of offshore wind power has brought great 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 it more difficult to accurately control energy management. The Technical Regulation for Wind Farm Access to Power System (GB / T 19963.1-2021) proposes requirements for minute change rate. For wind farms with installed capacity 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 requirement for active power control. Therefore, it is necessary to study an active power control method suitable for the minute change rate of large-capacity offshore wind farms to ensure the national standard requirements and the safe and stable operation of the power grid and optimize the operating income of power generation.

[0003] The general minute active power change rate control method is to add a quantity that meets both the 1-minute active power change rate limit and the 10-minute active power change rate limit to the current power basis for control. However, for large-capacity offshore wind farms, the difference between the active target value and the actual value is small, and the deviation in the active power distribution algorithm will cause the active power of the wind farm to rise slowly or not to rise, resulting in unnecessary loss of power generation.

[0004] Chinese patent application CN106786669B discloses a method that uses power prediction values as input to determine whether the future active change value will exceed the limit. If it does not exceed the limit, the wind farm is not subject to the minute change rate limit. However, this method relies on the prediction of wind speed and power, and its use is limited by the accuracy of the provided power prediction values. SUMMARY

[0005] The present application aims to solve the problem of slow or no active power rise of wind farms, especially large-capacity offshore wind farms, under the minute change rate limit, resulting in loss of power generation. To this end, a wind farm active power control method suitable for minute change rate is proposed, which adjusts the active control target value under the minute change rate limit to reduce the loss of power generation caused by active control and to constrain the active change, ensuring the safe and stable operation of the power grid.

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

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

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

[0009] The first object of the present application is achieved by the following technical solution: a minute change rate applicable wind farm active power control method, comprising the following steps:

[0010] Initialize and read the wind farm installed capacity Pn, and confirm the wind farm 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;

[0011] Initialize and maintain the active power history data arrays of the time windows of 1 minute and 10 minutes, and save the real-time active power value into the two arrays, while clearing the historical power data exceeding the time window;

[0012] Sum the minimum value of the 1-minute active power history data array and the wind farm 1-minute active power change rate limit L1 to calculate the 1-minute limit power target value Pt1; sum the minimum value of the 10-minute active power history data array and the wind farm 10-minute active power change rate limit L10 to calculate the 10-minute limit power target value Pt10; set the minute change rate limit power active target value Pt as the minimum value of the 1-minute limit power target value Pt1 and the 10-minute limit power target value Pt10, i.e. Pt = min(Pt1, Pt10);

[0013] Use the minute change rate limit power active target value Pt as the actual wind farm active control target value P, initialize and maintain the full-field active control deviation array, wherein the active control deviation is the difference between the active control target value P of the last control period and the active actual value of the current period;

[0014] When the active control deviation is greater than the threshold T for N consecutive periods, it is considered that the real-time active of the wind farm is in a stable or descending state, and the probability of the real-time active exceeding the minute change rate limit power active target value Pt is small at this time, so the active control target value P is increased to avoid the loss of power generation caused by the low active control target value;

[0015] When the active control deviation is not greater than the threshold T for N consecutive periods, it is considered that the real-time active of the wind farm is in a rising or fluctuating state, and the probability of the real-time active exceeding the minute change rate limit power active target value Pt is large at this time, so the minute change rate limit power active target value Pt is used as the actual active control target value P.

[0016] Further, the active control target value P is increased to avoid the loss of power generation caused by the low active control target value, and the specific implementation process is as follows:

[0017] When the active control deviation meets the condition of being greater than the threshold T for consecutive N cycles, the superimposed optimization strategy is enabled.

[0018] The value of the superimposed deviation is initialized to 0. When the active control deviation is greater than the threshold T, the active control deviation is accumulated and calculated, and the superimposed deviation += the 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 T, the active control deviation is not accumulated and calculated. When the active control deviation is between -T and 0, the superimposed deviation needs to be added to the negative active control deviation*Ki. If the active control deviation is less than -T, the actual value of the active power of the entire field is lower than the minute change rate limit power active target value Pt, the superimposed optimization strategy should be exited immediately, and the superimposed deviation is reset to 0.

[0019] When the superimposed deviation is greater than 0, the active control target value P is the minute change rate limit power active target value Pt plus the superimposed deviation. When the superimposed deviation is less than or equal to 0, the minute change rate limit power active target value Pt is used as the active control target value P for issuance.

[0020] Further, the wind farm installed capacity Pn is read from the wind farm configuration. Based on the requirement of the minute change rate in GB / T 19963.1-2021 Technical Regulation for Wind Farm Access to Power System, the 1-minute active power change rate limit value L1 and the 10-minute active power change rate limit value L10 are confirmed according to the wind farm installed capacity Pn, as follows:

[0021] When Pn<30MW, the 10-minute active power change rate limit value L10 is 10MW, and the 1-minute active power change rate limit value L1 is 3MW.

[0022] When 30≤Pn≤150MW, the 10-minute active power change rate limit value L10 is Pn / 3MW, and the 1-minute active power change rate limit value L1 is Pn / 10MW.

[0023] When Pn>150MW, the 10-minute active power change rate limit value L10 is 50MW, and the 1-minute active power change rate limit value L1 is 15MW.

[0024] Further, the active power history data arrays of the time windows of 1 minute and 10 minutes are initialized and maintained. The wind farm active power is refreshed m times per second, so the size of the 1-minute active power history data array is 60m, and the size of the 10-minute active power history data array is 600m. In each iteration, the current wind farm active power is added to the above-mentioned 1-minute active power history data array and 10-minute active power history data array, and the historical power data outside the time window is removed.

[0025] The second object of the application is achieved by the following technical solution: a wind farm active power control system suitable for minute change rate, used to implement the wind farm active power control method suitable for minute change rate, comprising:

[0026] An initialization module is configured to initialize and read the wind farm installed capacity Pn, confirm the wind farm 1-minute active power change rate limit L1 and the wind farm 10-minute active power change rate limit L10 according to the wind farm installed capacity Pn, initialize and maintain the active power history data arrays with the time windows of 1 minute and 10 minutes, save the real-time active power value into the two arrays, and clear the historical power data exceeding the time window;

[0027] A minute change rate active target value calculation module is configured to sum the minimum value of the 1-minute active power history data array and the wind farm 1-minute active power change rate limit L1 to calculate the 1-minute limit power target value Pt1, sum the minimum value of the 10-minute active power history data array and the wind farm 10-minute active power change rate limit L10 to calculate the 10-minute limit power target value Pt10, and set the minute change rate limit power active target value Pt as the minimum value of the 1-minute limit power target value Pt1 and the 10-minute limit power target value Pt10, i.e., Pt = min(Pt1, Pt10).

[0028] A control module is configured to use the minute change rate limit power active target value Pt as the active control target value P of the wind farm by default, initialize and maintain the active control deviation array of the whole wind farm, wherein the active control deviation is the difference between the active control target value P of the last control period and the active actual value of the current period, when the active control deviation is greater than the threshold T for N consecutive periods, it is considered that the real-time active of the wind farm is in a stable or descending state, in which the probability of the real-time active exceeding the minute change rate limit power active target value Pt is small, at this time, the power generation loss caused by the low active control target value is avoided by increasing the active control target value P, and when the active control deviation is not greater than the threshold T for N consecutive periods, it is considered that the real-time active of the wind farm is in an ascending or fluctuating state, in which the probability of the real-time active exceeding the minute change rate limit power active target value Pt is large, at this time, the minute change rate limit power active target value Pt is used as the actual active control target value P.

[0029] The third object of the application is achieved by the following technical solution: a storage medium storing a program, wherein the program is executed by a processor to implement the wind farm active power control method suitable for minute change rate.

[0030] The fourth object of the application is achieved by the following technical solution: a computing device comprising a processor and a memory for storing a program executable by the processor, wherein the processor executes the program stored in the memory to implement the wind farm active power control method suitable for minute change rate.

[0031] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0032] Based on the current and historical operation data of the wind farm, it is judged whether the current is in a power rapid rising state. According to different operation states, the control logic is optimized. When the real-time active power is in a stable or descending state, the active power control target value under the minute change rate limit can be automatically adjusted 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 rising state, the minute change rate limit 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 the conventional algorithm, the present application automatically enables the superimposed optimization strategy by judging the current operation state based on the historical data, reduces the active power loss caused by the control by reducing the active power control degree. The superimposed optimization strategy can be independently operated and automatically adjusted, and does not depend on the output results of other parts, so the reliability is high. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The control principle diagram of the method of the present application.

[0034] Figure 2 The architecture diagram of the system of the present application. DETAILED DESCRIPTION

[0035] The present application will be further described in detail below in combination with embodiments and drawings, but the embodiments of the present application are not limited thereto.

[0036] Example 1

[0037] This embodiment discloses a wind farm active power control method suitable for minute change rate, as shown in Figure 1 The specific case is as follows:

[0038] The wind farm installed capacity Pn is read from the wind farm configuration. Based on the requirement of minute change rate in GB / T 19963.1-2021 Technical Regulation 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 wind farm installed capacity Pn, which are as follows:

[0039] When Pn < 30MW, the 10-minute active power change rate limit L10 is 10MW, and the 1-minute active power change rate limit L1 is 3MW;

[0040] 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;

[0041] 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;

[0042] 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.

[0043] Initialize and maintain a 1-minute active power history data array and a 10-minute active power history data array. If the wind farm active power is refreshed at a frequency of 1 second, the size of the 1-minute active power history data array is 60, and the size of the 10-minute active power history data array is 600. In each iteration, the current wind farm active power is added to the above-mentioned 1-minute active power history data array and 10-minute active power history data array, and the historical power data outside the time window is removed.

[0044] Sum the minimum value of the 1-minute active power history data array and the 1-minute active power change rate limit L1 of the wind farm to calculate the 1-minute limit power target value Pt1. Sum the minimum value of the 10-minute active power history data array and the 10-minute active power change rate limit L10 of the wind farm to calculate the 10-minute limit power target value Pt10. Set the minute change rate limit power active target value Pt as the minimum value of the 1-minute limit power target value Pt1 and the 10-minute limit power target value Pt10, i.e. Pt = min(Pt1, Pt10). For example, the minimum value of the 1-minute active power is 382MW, so the 1-minute limit power target value is 382+15=397MW. The minimum value of the 10-minute active power is 336MW, so the 10-minute limit power target value is 336+50=386MW. The smaller value of the two is 386MW, so the minute change rate limit power active target value Pt is 386MW.

[0045] By default, use the minute change rate limit power active target value Pt as the active control target value P of the wind farm. Initialize and maintain a full-field active control deviation array, where the active control deviation is the difference between the active control target value of the previous control period and the active actual value of the current period.

[0046] Determine whether the current is in the superimposed optimization strategy, by default, it is not. If it is not in the superimposed optimization strategy, use the minute change rate limit power active target value Pt as the actual active control target value P and issue it, and calculate the difference between the active control target value issued in the previous control period and the active actual value of the current period. Store the difference value in the active control deviation array.

[0047] When the active power control deviation is greater than the threshold T for N consecutive periods, it can be considered that the real-time active power of the wind farm is stable or in a state of decline, and the probability of the active power exceeding the minute change rate limit power target value Pt is small. At this time, the active power control target value P can be increased to avoid the loss of power generation caused by the low active power control target value. The specific implementation process is as follows:

[0048] a) When the active power control deviation is greater than the threshold T for N consecutive periods, the superimposed optimization strategy is enabled, wherein the period number N and the threshold T are manually set values, and the sensitivity of activating the superimposed optimization strategy can be controlled by modifying the period number N and the threshold T;

[0049] b) The value of the superimposed deviation is initialized to 0. When the active power control deviation is greater than the threshold T, it is considered that the actual value of the active power is greatly different from the control target value. The active power control deviation can be accumulated. The accumulated deviation is initially 0. The accumulated deviation is continuously accumulated through multiple iterations. The accumulation method is: superimposed deviation += active power control deviation * Ki, wherein Ki is the coefficient of the control deviation accumulation rate, which is a manually set value. When the active power control deviation is between 0 and the threshold T, the active power control deviation is not accumulated. When the active power control deviation is between the threshold T and 0, the value of the superimposed deviation needs to be reduced. Since the active power control deviation has a sign, it can be processed together in actual calculation. Specifically, the superimposed deviation needs to be added to the negative active power control deviation * Ki. If the active power control deviation is less than the threshold T, the actual value of the active power of the whole wind farm is greater than the minute change rate limit power target value Pt. The superimposed optimization strategy should be exited immediately, and the superimposed deviation is reset to 0.

[0050] c) When the superimposed deviation is greater than 0, the active power control target value P is the minute change rate limit power target Pt value 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.

[0051] When the active power control deviation is not greater than the threshold T for N consecutive periods, it can be considered that the active power of the wind farm is in a rising or fluctuating state, and the probability of the active power exceeding the specified minute change rate active power target value is large. At this time, the minute change rate limit power target value Pt is used as the actual control target value P issued to the wind turbine of the wind farm.

[0052] Embodiment 2

[0053] The embodiment discloses a wind farm active power control system suitable for a minute change rate, which is used to implement the wind farm active power control method suitable for a minute change rate as described in Embodiment 1, as shown in Figure 2 The wind farm active power control system includes the following functional modules:

[0054] The initialization module is configured to initialize and read the installed capacity Pn of the wind farm, 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 history data arrays with the time windows of 1 minute and 10 minutes, save the real-time active power value into the two arrays, and clear the historical power data exceeding the time window;

[0055] The minute change rate active target value calculation module is configured to sum the minimum value of the 1-minute active power history data array and the 1-minute active power change rate limit L1 of the wind farm to calculate the 1-minute limit power target value Pt1, sum the minimum value of the 10-minute active power history data array and the 10-minute active power change rate limit L10 of the wind farm to calculate the 10-minute limit power target value Pt10, and set the minute change rate limit power active target value Pt as the minimum value of the 1-minute limit power target value Pt1 and the 10-minute limit power target value Pt10, that is, Pt = min (Pt1, Pt10).

[0056] The control module is configured to use the minute change rate limit power active target value Pt as the active control target value P of the wind farm by default, initialize and maintain the active control deviation array of the whole wind farm, wherein the active control deviation is the difference between the active control target value P of the last control period and the active actual value of the current period, consider that the real-time active power of the wind farm is in a stable or descending state when the active control deviation is greater than the threshold T for N consecutive periods, the probability of the real-time active power exceeding the minute change rate limit power active target value Pt is small in the state, and the active control target value P is increased to avoid the loss of power generation caused by the low active control target value, and consider that the real-time active power of the wind farm is in an ascending or fluctuating state when the active control deviation is not greater than the threshold T for N consecutive periods, the probability of the real-time active power exceeding the minute change rate limit power active target value Pt is large in the state, and the minute change rate limit power active target value Pt is used as the actual active control target value P.

[0057] Embodiment 3

[0058] The embodiment discloses a storage medium, which stores a program, and the program is executed by a processor to realize the wind farm active control method suitable for minute change rate in the embodiment 1.

[0059] The storage medium in the embodiment can be a disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), a U disk, a mobile hard disk, and the like.

[0060] Embodiment 4

[0061] The embodiment discloses a computing device, comprising a processor and a memory for storing processor-executable programs, when the processor executes the programs stored in the memory, the active power control method for minute change rate of a wind farm is realized.

[0062] The computing device described in the embodiment can be a desktop computer, a notebook computer, a smart phone, a PDA handheld terminal, a tablet computer, a programmable logic controller (PLC), or other terminal devices with processor functions.

[0063] The above embodiments are the preferred embodiments of the present application, but the embodiments of the present application are not limited to the above embodiments, and any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present application should be equivalent replacement methods, and are all included in the protection scope of the present application.

Claims

1. A method for controlling active power of a wind farm with a minute rate of change, characterized in that: The following steps are involved: Initialize and read the wind farm installed capacity Pn, and confirm the wind farm's 1-minute active power change rate limit L1 and 10-minute active power change rate limit L10 based on the wind farm installed capacity Pn; 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 L1 of the wind farm are summed to calculate the 1-minute power limit target value Pt1; 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 wind farm's 10-minute active power change rate limit value L10. The minute change rate limit active power 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 rate-of-change power limit active power target value Pt as the active power control target value P actually issued by the wind farm, initialize and maintain the active power control deviation array for the entire farm, where the active power control deviation is the difference between the active power control target value P of the previous control cycle and the active power actual value of the current cycle; When the active power control deviation is greater than the threshold value T for N consecutive cycles, the wind farm's real-time active power is considered to be in a stable or declining state. In this stable or declining state, the probability of the real-time active power exceeding the minute rate-of-change power limit active power target value Pt is small. In this case, the active power control target value P is increased to avoid power generation losses caused by a 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 increasing or fluctuating state, the probability of the real-time active power exceeding the minute change rate limit active power target value Pt is high. At this time, the minute change rate limit active power target value Pt is used as the actual active power control target value P.

2. The method for controlling active power of a wind farm applicable to minute rate of change according to claim 1, characterized in that: By increasing the active power control target value P, the power generation loss caused by a 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 T, the active control deviation is accumulated and the superposition deviation needs to be added with the positive 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 T, the active control deviation is not accumulated. When the active control deviation is between the negative threshold -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 active power value of the entire field is lower than the active power target value Pt of the minute rate-of-change power limit, 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 distribution.

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 Provisions for Wind Farm Integration into the Power System, determine 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. The details are 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 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 refreshes per second. 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 rate of change, characterized in that: A method for controlling active power of a wind farm applicable to a minute rate of change, for implementing any one of claims 1 to 4, comprising: The initialization module is used to initialize and read the installed capacity Pn of the wind farm, and determine the 1-minute active power change rate limit L1 and the 10-minute active power change rate limit L10 of the wind farm based on 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 ​​in these two arrays, while clearing the historical power data that exceeds the time window; The minute-rate-of-change 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; and set the minute-rate-of-change active power limit 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-rate-limited active power target value Pt as the wind farm's active power control target value P by default, initializes and maintains an array of active power control deviations for the entire farm, where the active power control deviation is the difference between the active power control target value P of the previous control cycle and the actual active power 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. The probability of the real-time active power exceeding the minute-rate-limited active power target value Pt in this stable or declining state is small. In this case, the active power control target value P is increased to avoid power generation losses caused by a 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. The probability of the real-time active power exceeding the minute-rate-limited active power target value Pt in this increasing or fluctuating state is high. In this case, the minute-rate-limited active power target value Pt is used as the actual active power control target value P.

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

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