A method and device for regulating the output of a wind turbine

Abstract

This invention provides a method and apparatus for regulating the output of wind turbine generators. It determines the optimal frequency regulation parameters for each wind turbine generator in a wind farm based on the overshoot deviation and frequency variation deviation of the wind farm. The frequency regulation parameters of each wind turbine generator in the wind farm are then adjusted to their optimal values. This invention obtains the optimal frequency regulation parameters of the generators by considering the overshoot deviation and frequency variation deviation of the wind farm, thus taking into account the influence of the generators on the wind farm frequency. This overcomes the shortcomings of existing technologies in controlling generator output, enabling the generators to be used to their fullest potential. Simultaneously, it reduces frequency safety and stability issues during the dynamic process of the wind farm, improving the safety at both the generator and wind farm levels.

Description

Technical Field

[0001] This invention relates to the field of new energy power generation control technology, specifically to a method and device for adjusting the output of a wind turbine. Background Technology

[0002] With the rapid development of global wind power generation and the rapid growth of wind turbine installed capacity, building large-scale grid-connected wind farms has become an effective way to efficiently utilize wind energy. However, wind power has characteristics such as intermittency, volatility, and anti-peak shaving. Large-scale wind power grid connection makes system power balance and frequency regulation increasingly difficult, posing challenges to system operation control, protection, and scheduling.

[0003] At the turbine level, applying additional control methods to wind turbines to make them respond to changes in system frequency is an effective way to solve power system frequency problems. However, at the wind farm level, the frequency regulation methods, frequency regulation parameters, and turbine performance of each turbine within the farm differ, resulting in different active power outputs, delays, and other characteristics when different turbines respond to the same frequency change, making it difficult to control the overall power output performance of the wind farm.

[0004] Currently, the common method for controlling the power output performance of wind farms is to design scheduling optimization algorithms to determine the power output allocation for each unit within the farm, and then control each unit to meet the allocated power output. However, this method does not take into account the impact of the units on the wind farm's frequency, and therefore cannot achieve optimal utilization of resources during the power allocation process. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a method and device for adjusting the output of wind turbine units. By obtaining the optimal frequency regulation parameters of each wind turbine unit in the wind farm through the overshoot deviation and frequency change deviation of the wind farm, the output of each wind turbine unit is adjusted, which makes up for the defects of the prior art in allocating the output of the units and enables the units to be used to their fullest potential.

[0006] This invention provides a method for adjusting the output of a wind turbine generator set, the improvement of which is that the method includes:

[0007] The optimal frequency regulation parameters for each wind turbine in the wind farm are determined based on the overshoot deviation and frequency change deviation of the wind farm.

[0008] The frequency regulation parameters of each wind turbine in the wind farm are adjusted to the optimal frequency regulation parameters of each wind turbine in the wind farm.

[0009] Preferably, the optimal frequency regulation parameters for each wind turbine in the wind farm are determined based on the overshoot deviation and frequency variation deviation of the wind farm, including:

[0010] An optimization model for frequency regulation parameters is constructed based on the overshoot deviation and frequency variation of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters for each wind turbine in the wind farm.

[0011] Further, the objective function f for the frequency modulation parameters of the optimization model is determined by the following formula:

[0012]

[0013] In the formula, |σ w -maxσ(t)| represents the overshoot deviation of the wind farm. Let σ(t) represent the frequency variation deviation of the wind farm, and let σ(t) represent the overshoot of the wind farm at time t. σ w Let Δf be the standard value of overshoot for a wind farm. w (t) represents the frequency change of the wind farm at time t, Δf w (t)=L -1 Δf w (s), Δf w Let Δf be the standard value of the frequency variation of the wind farm. w (s) is the frequency domain function of the frequency response change of the wind farm, G fmi (s) is the transfer function of the frequency regulation model of the i-th wind turbine. kdf i Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let L be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, t∈[1,T], where T is the total number of times, i∈[1,M], where M is the total number of wind turbines in the wind farm, and L is the frequency regulation auxiliary response time constant of the i-th wind turbine. -1 is the symbol for the inverse Laplace transform, and s is the Laplace operator.

[0014] Furthermore, the constraints of the frequency parameter optimization model include:

[0015] Frequency regulation parameter range constraints for wind turbine units:

[0016]

[0017] 5 < t i,max <15

[0018] In the formula, ΔP sch t represents the target value for the power change of the wind farm. i,max The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value, i∈[1,M], where M is the total number of wind turbines in the wind farm, and t i,max for The solution, ΔP windi (t)=L -1 [G fmi (s)Δf w (s)],ΔP windi (t) represents the change in output of the i-th wind turbine at time t, Δf w (s) is the frequency domain function of the frequency response change of the wind farm. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, and s be the Laplace operator;

[0019] Constraints on the output variation of wind turbine units:

[0020]

[0021] Output constraints of wind turbine units:

[0022] (1-K i,max )P i,max (t)≤P i (t-1)+ΔP windi (t)≤P i,max (t)

[0023] In the formula, P′ i (t-1) represents the output of the i-th wind turbine at time t-1, P i,max (t) represents the maximum output of the i-th wind turbine, K i,max The maximum load reduction ratio of the i-th wind turbine unit;

[0024] Wind turbine output ramping constraints:

[0025]

[0026] In the formula, and Δt represents the upward and downward climbing speeds of the i-th wind turbine, respectively, and Δt is the time interval.

[0027] Furthermore, the frequency domain function Δf of the frequency response change of the wind farm is determined by the following formula. w (s):

[0028]

[0029] In the formula, H WFLet be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm.

[0030] Based on the same inventive concept, the present invention also provides a wind turbine output regulating device, wherein the improvement is that the device includes:

[0031] The parameter acquisition unit is used to determine the optimal frequency regulation parameters of each wind turbine in the wind farm based on the overshoot deviation and frequency change deviation of the wind farm.

[0032] The output adjustment unit is used to adjust the frequency regulation parameters of each wind turbine in the wind farm to the optimal frequency regulation parameters of each wind turbine in the wind farm.

[0033] Preferably, the parameter acquisition unit is specifically used for:

[0034] An optimization model for frequency regulation parameters is constructed based on the overshoot deviation and frequency variation of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters for each wind turbine in the wind farm.

[0035] Further, the objective function f of the frequency modulation parameter optimization model is determined by the following formula:

[0036]

[0037] In the formula, |σ w -maxσ(t)| represents the overshoot deviation of the wind farm. Let σ(t) represent the frequency variation deviation of the wind farm, and let σ(t) represent the overshoot of the wind farm at time t. σ w Let Δf be the standard value of overshoot for a wind farm. w (t) represents the frequency change of the wind farm at time t, Δf w (t)=L -1 Δf w (s), Δf w Let Δf be the standard value of the frequency variation of the wind farm. w (s) is the frequency domain function of the frequency response change of the wind farm, G fmi (s) is the transfer function of the frequency regulation model of the i-th wind turbine. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let L be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, t∈[1,T], where T is the total number of times, i∈[1,M], where M is the total number of wind turbines in the wind farm, and L is the frequency regulation auxiliary response time constant of the i-th wind turbine. -1is the symbol for the inverse Laplace transform, and s is the Laplace operator.

[0038] Furthermore, the constraints of the frequency modulation parameter optimization model include:

[0039] Frequency regulation parameter range constraints for wind turbine units:

[0040]

[0041] 5 < t i,max <15

[0042] In the formula, ΔP sch t represents the target value for the power change of the wind farm. i,max The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value, i∈[1,M], where M is the total number of wind turbines in the wind farm, and t i,max for The solution, ΔP windi (t)=L -1 [Gf mi (s)Δf w (s)],ΔP windi (t) represents the change in output of the i-th wind turbine at time t, Δf w (s) is the frequency domain function of the frequency response change of the wind farm. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, and s be the Laplace operator;

[0043] Constraints on the output variation of wind turbine units:

[0044]

[0045] Output constraints of wind turbine units:

[0046] (1-K i,max )P i,max (t)≤P i (t-1)+ΔP windi (t)≤P i,max (t)

[0047] In the formula, P′ i (t-1) represents the output of the i-th wind turbine at time t-1, P i,max (t) represents the maximum output of the i-th wind turbine, K i,max The maximum load reduction ratio of the i-th wind turbine unit;

[0048] Wind turbine output ramping constraints:

[0049]

[0050] In the formula, and Δt represents the upward and downward climbing speeds of the i-th wind turbine, respectively, and Δt is the time interval.

[0051] Furthermore, the frequency domain function Δf of the frequency response change of the wind farm is determined by the following formula. w (s):

[0052]

[0053] In the formula, H WF Let be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm.

[0054] Compared with the closest existing technology, the present invention has the following advantages:

[0055] This invention provides a method and apparatus for adjusting the output of wind turbine generators. The method determines the optimal frequency regulation parameters for each wind turbine generator in a wind farm based on the overshoot deviation and frequency variation deviation of the wind farm. The frequency regulation parameters of each wind turbine generator in the wind farm are then adjusted to the optimal parameters. This invention obtains the optimal frequency regulation parameters of the generators by considering the overshoot deviation and frequency variation deviation of the wind farm, taking into account the influence of the generators on the wind farm frequency. This overcomes the shortcomings of existing technologies in controlling generator output, ensuring optimal utilization of the generators. Simultaneously, it reduces frequency safety and stability issues during the dynamic process of the wind farm, improving safety at both the generator and wind farm levels.

[0056] Among them, when obtaining the optimal frequency regulation parameters of the unit through the overshoot deviation and frequency change deviation of the wind farm, the transient power frequency characteristics of the wind farm are considered and the stability of the wind farm is improved by establishing a direct relationship between the frequency change and the target value of the power change of the wind farm. Attached Figure Description

[0057] Figure 1 This is a flowchart of the wind turbine output adjustment method of the present invention;

[0058] Figure 2 This is a schematic diagram of the power frequency model of a wind farm in an embodiment of the present invention;

[0059] Figure 3 This is a schematic diagram of the wind turbine output adjustment device of the present invention. Detailed Implementation

[0060] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] This invention provides a method for adjusting the output of a wind turbine, such as... Figure 1 As shown, the method includes:

[0063] Step 1. Determine the optimal frequency regulation parameters for each wind turbine in the wind farm based on the overshoot deviation and frequency change deviation of the wind farm;

[0064] Step 2. Adjust the frequency regulation parameters of each wind turbine in the wind farm to the optimal frequency regulation parameters of each wind turbine in the wind farm.

[0065] To more clearly illustrate the purpose of this invention, the following detailed description of the invention is provided in conjunction with specific embodiments.

[0066] In embodiments of the present invention, the determination of the optimal frequency regulation parameters for each wind turbine in a wind farm based on the overshoot deviation and frequency change deviation of the wind farm includes:

[0067] An optimization model for frequency regulation parameters is constructed based on the overshoot deviation and frequency variation of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters for each wind turbine in the wind farm.

[0068] In an embodiment of the present invention, the objective function f of the frequency modulation parameter optimization model is determined by the following formula:

[0069]

[0070] In the formula, |σ w -maxσ(t)| represents the overshoot deviation of the wind farm. Let σ(t) represent the frequency variation deviation of the wind farm, and let σ(t) represent the overshoot of the wind farm at time t. σ w Let Δf be the standard value of overshoot for a wind farm. w (t) represents the frequency change of the wind farm at time t, Δf w (t)=L -1 Δf w (s), Δf w Let Δf be the standard value of the frequency variation of the wind farm.w (s) is the frequency domain function of the frequency response change of the wind farm, G fmi (s) is the transfer function of the frequency regulation model of the i-th wind turbine. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let L be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, t∈[1,T], where T is the total number of times, i∈[1,M], where M is the total number of wind turbines in the wind farm, and L is the frequency regulation auxiliary response time constant of the i-th wind turbine. -1 is the symbol for the inverse Laplace transform, and s is the Laplace operator.

[0071] The constraints of the frequency modulation parameter optimization model include:

[0072] Frequency regulation parameter range constraints for wind turbine units:

[0073]

[0074] 5 < t i,max <15

[0075] In the formula, ΔP sch t represents the target value for the power change of the wind farm. i,max The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value, i∈[1,M], where M is the total number of wind turbines in the wind farm, and t i,max for The solution, ΔP windi (t) represents the change in output of the i-th wind turbine at time t, ΔP windi (t)=L -1 [G fmi (s)Δf w (s)],Δf w (s) is the frequency domain function of the frequency response change of the wind farm. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, and s be the Laplace operator;

[0076] Constraints on the output variation of wind turbine units:

[0077]

[0078] Output constraints of wind turbine units:

[0079] (1-K i,max )P i,max (t)≤P i (t-1)+ΔP windi (t)≤P i,max (t)

[0080] In the formula, P′ i (t-1) represents the output of the i-th wind turbine at time t-1, P i,max (t) represents the maximum output of the i-th wind turbine, K i,max The maximum load reduction ratio of the i-th wind turbine unit;

[0081] Wind turbine output ramping constraints:

[0082]

[0083] In the formula, r i + and r i - Δt represents the upward and downward climbing speeds of the i-th wind turbine, respectively, and Δt is the time interval.

[0084] Furthermore, to optimize the frequency regulation parameters of each unit, a system is constructed as follows: Figure 2 The wind farm power frequency model shown determines the frequency domain function Δf of the wind farm's frequency response change. w (s):

[0085]

[0086] In the formula, H WF Let be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm.

[0087] H WF The calculation method is as follows: First, calculate the equivalent virtual inertial time constant H of a single wind turbine. equ :

[0088]

[0089] In the formula: J equ ω nom P, S wind J wt ω r0 , Δω r and H windThese are the equivalent virtual moment of inertia, rated angular velocity, number of pole pairs, rated capacity, natural moment of inertia, initial rotor angular velocity, rotor angular velocity increment, and natural inertia time constant of the wind turbine generator, respectively; ω s0 ,Δω s These are the initial synchronizing angular velocity and the synchronizing angular velocity increment of the power system, respectively.

[0090] Then, the inertial time constant H of the wind farm is calculated using the aggregation method. WF :

[0091]

[0092] In the formula, H equi Let S be the equivalent virtual inertial time constant of the i-th wind turbine. windi Let be the rated capacity of the i-th wind turbine.

[0093] Based on the same inventive concept, the present invention also provides a wind turbine output regulating device, such as... Figure 3 As shown, the device includes:

[0094] The parameter acquisition unit is used to determine the optimal frequency regulation parameters of each wind turbine in the wind farm based on the overshoot deviation and frequency change deviation of the wind farm.

[0095] The output adjustment unit is used to adjust the frequency regulation parameters of each wind turbine in the wind farm to the optimal frequency regulation parameters of each wind turbine in the wind farm.

[0096] Preferably, the parameter acquisition unit is specifically used for:

[0097] An optimization model for frequency regulation parameters is constructed based on the overshoot deviation and frequency variation of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters for each wind turbine in the wind farm.

[0098] Further, the objective function f of the frequency modulation parameter optimization model is determined by the following formula:

[0099]

[0100] In the formula, |σ w -maxσ(t)| represents the overshoot deviation of the wind farm. Let σ(t) represent the frequency variation deviation of the wind farm, and let σ(t) represent the overshoot of the wind farm at time t. σ w Let Δf be the standard value of overshoot for a wind farm. w (t) represents the frequency change of the wind farm at time t, Δf w (t)=L -1 Δf w (s), Δf wLet Δf be the standard value of the frequency variation of the wind farm. w (s) is the frequency domain function of the frequency response change of the wind farm, G fmi (s) is the transfer function of the frequency regulation model of the i-th wind turbine. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let L be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, t∈[1,T], where T is the total number of times, i∈[1,M], where M is the total number of wind turbines in the wind farm, and L is the frequency regulation auxiliary response time constant of the i-th wind turbine. -1 is the symbol for the inverse Laplace transform, and s is the Laplace operator.

[0101] Furthermore, the constraints of the frequency modulation parameter optimization model include:

[0102] Frequency regulation parameter range constraints for wind turbine units:

[0103]

[0104] 5 < t i,max <15

[0105] In the formula, ΔP sch t represents the target value for the power change of the wind farm. i,max The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value, i∈[1,M], where M is the total number of wind turbines in the wind farm, and t i,max for The solution, ΔP windi (t) represents the change in output of the i-th wind turbine at time t, ΔP windi (t)=L -1 [G fmi (s)Δf w (s)],Δf w (s) is the frequency domain function of the frequency response change of the wind farm. k dfi Let T be the inertial response coefficient of the i-th wind turbine. ωi Let k be the rotor inertial response time constant of the i-th wind turbine unit. pfi T is the primary frequency regulation auxiliary coefficient for the i-th wind turbine. βi Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, and s be the Laplace operator;

[0106] Constraints on the output variation of wind turbine units:

[0107]

[0108] Output constraints of wind turbine units:

[0109] (1-K i,max )P i,max (t)≤P i (t-1)+ΔP windi (t)≤P i,max (t)

[0110] In the formula, P′ i (t-1) represents the output of the i-th wind turbine at time t-1, P i,max (t) represents the maximum output of the i-th wind turbine, K i,max The maximum load reduction ratio of the i-th wind turbine unit;

[0111] Wind turbine output ramping constraints:

[0112]

[0113] In the formula, r i + and r i - Δt represents the upward and downward climbing speeds of the i-th wind turbine, respectively, and Δt is the time interval.

[0114] Furthermore, the frequency domain function Δf of the frequency response change of the wind farm is determined by the following formula. w (s):

[0115]

[0116] In the formula, H WF Let be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm.

[0117] In summary, the wind turbine output regulation method and device provided by this invention determines the optimal frequency regulation parameters of each wind turbine in a wind farm based on the overshoot deviation and frequency change deviation of the wind farm; adjusts the frequency regulation parameters of each wind turbine in the wind farm to the optimal frequency regulation parameters of each wind turbine in the wind farm; this invention obtains the optimal frequency regulation parameters of the turbine by taking into account the influence of the turbine on the frequency of the wind farm through the overshoot deviation and frequency change deviation of the wind farm, making up for the defects of the existing technology in controlling the output of the turbine, so that the turbine can be used to its fullest potential, and at the same time, reducing the frequency safety and stability problems in the dynamic process of the wind farm, and improving the safety at both the turbine and wind farm levels;

[0118] In obtaining the optimal frequency regulation parameters of the unit through the overshoot deviation and frequency change deviation of the wind farm, the transient power frequency characteristics of the wind farm are considered and the stability of the wind farm is improved by establishing a functional relationship between the frequency change and the target value of the power change of the wind farm.

[0119] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0121] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0122] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method of regulating the output of a wind turbine, characterized by, The method includes: The optimal frequency regulation parameters for each wind turbine in the wind farm are determined based on the overshoot deviation and frequency change deviation of the wind farm. The frequency regulation parameters of each wind turbine in the wind farm are adjusted to the optimal frequency regulation parameters of each wind turbine in the wind farm. The determination of the optimal frequency regulation parameters for each wind turbine in the wind farm based on the overshoot deviation and frequency variation deviation of the wind farm includes: A frequency regulation parameter optimization model is constructed based on the overshoot deviation and frequency change of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters of each wind turbine in the wind farm. The objective function of the frequency modulation parameter optimization model is determined by the following formula. : In the formula, This refers to the overshoot deviation of the wind farm. This refers to the frequency variation deviation of the wind farm. Let be the overshoot of the wind farm at time t. , This represents the standard value for overshoot in a wind farm. Let be the frequency change of the wind farm at time t. , This is the standard value for the frequency variation of a wind farm. This is the frequency domain function of the frequency response change of the wind farm. Let be the transfer function of the frequency regulation model for the i-th wind turbine. , Let be the inertial response coefficient of the i-th wind turbine. Let be the rotor inertial response time constant of the i-th wind turbine. Let be the primary frequency regulation auxiliary coefficient for the i-th wind turbine. Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine. T represents the total number of moments. M represents the total number of wind turbines in the wind farm. is the inverse Laplace transform symbol, s is the Laplace operator, and D is the load damping coefficient of the wind farm.

2. The method as described in claim 1, characterized in that, The constraints of the frequency modulation parameter optimization model include: Frequency regulation parameter range constraints for wind turbine units: In the formula, This represents the target value for the power change of the wind farm. The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value. M represents the total number of wind turbines in the wind farm, where... for The solution, Let be the change in output of the i-th wind turbine at time t. , This is the frequency domain function of the frequency response change of the wind farm. , Let be the inertial response coefficient of the i-th wind turbine. Let be the rotor inertial response time constant of the i-th wind turbine. Let be the primary frequency regulation auxiliary coefficient for the i-th wind turbine. Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, and s be the Laplace operator; Constraints on the output variation of wind turbine units: Output constraints of wind turbine units: In the formula, Let be the output of the i-th wind turbine at time t-1. This represents the maximum output of the i-th wind turbine. The maximum load reduction ratio of the i-th wind turbine unit; Wind turbine output ramping constraints: In the formula, and Let be the upward and downward climbing speeds of the i-th wind turbine, respectively. For time intervals.

3. The method as described in claim 1 or 2, characterized in that, The frequency domain function of the frequency response change of a wind farm is determined by the following formula. : In the formula, Let be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm. This represents the target value for the power change of the wind farm.

4. A wind turbine output regulating device, characterized in that, The device includes: The parameter acquisition unit is used to determine the optimal frequency regulation parameters of each wind turbine in the wind farm based on the overshoot deviation and frequency change deviation of the wind farm. The output regulation unit is used to adjust the frequency regulation parameters of each wind turbine in the wind farm to the optimal frequency regulation parameters of each wind turbine in the wind farm. The parameter acquisition unit is specifically used for: A frequency regulation parameter optimization model is constructed based on the overshoot deviation and frequency change of the wind farm, and the optimization model is solved to obtain the optimal frequency regulation parameters of each wind turbine in the wind farm. The objective function of the frequency modulation parameter optimization model is determined by the following formula. : In the formula, This refers to the overshoot deviation of the wind farm. This refers to the frequency variation deviation of the wind farm. Let be the overshoot of the wind farm at time t. , This represents the standard value for overshoot in a wind farm. Let be the frequency change of the wind farm at time t. , This is the standard value for the frequency variation of a wind farm. This is the frequency domain function of the frequency response change of the wind farm. Let be the transfer function of the frequency regulation model for the i-th wind turbine. , Let be the inertial response coefficient of the i-th wind turbine. Let be the rotor inertial response time constant of the i-th wind turbine. Let be the primary frequency regulation auxiliary coefficient for the i-th wind turbine. Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine. T represents the total number of moments. M represents the total number of wind turbines in the wind farm. is the symbol for the inverse Laplace transform, and s is the Laplace operator.

5. The apparatus as described in claim 4, characterized in that, The constraints of the frequency modulation parameter optimization model include: Frequency regulation parameter range constraints for wind turbine units: In the formula, This represents the target value for the power change of the wind farm. The moment when the frequency regulation power of the i-th wind turbine reaches its maximum value. M represents the total number of wind turbines in the wind farm, where... for The solution, Let be the change in output of the i-th wind turbine at time t. , This is the frequency domain function of the frequency response change of the wind farm. , Let be the inertial response coefficient of the i-th wind turbine. Let be the rotor inertial response time constant of the i-th wind turbine. Let be the primary frequency regulation auxiliary coefficient for the i-th wind turbine. Let be the primary frequency regulation auxiliary response time constant of the i-th wind turbine, s be the Laplace operator, and D be the load damping coefficient of the wind farm; Constraints on the output variation of wind turbine units: Output constraints of wind turbine units: In the formula, Let be the output of the i-th wind turbine at time t-1. This represents the maximum output of the i-th wind turbine. The maximum load reduction ratio of the i-th wind turbine unit; Wind turbine output ramping constraints: In the formula, and Let be the upward and downward climbing speeds of the i-th wind turbine, respectively. For time intervals.

6. The apparatus as described in claim 4 or 5, characterized in that, The frequency domain function of the frequency response change of a wind farm is determined by the following formula. : In the formula, Let be the overall equivalent virtual inertial time constant of the wind farm, and D be the load damping coefficient of the wind farm. This represents the target value for the power change of the wind farm.

Images