Primary frequency modulation parameter collaborative distribution method and device based on wind farm load shedding control

Abstract

The application provides a method and device for coordinated distribution of primary frequency modulation parameters based on wind farm load shedding control, which comprises the following steps: obtaining frequency modulation control information in a wind farm and basic operation information of each wind turbine; optimizing the rotational speed of each wind turbine after load shedding based on the frequency modulation control information and the basic operation information of each wind turbine; obtaining the load shedding amount of each wind turbine based on the optimized rotational speed of each wind turbine after load shedding; and coordinating and distributing the primary frequency modulation droop coefficient and the primary frequency modulation virtual inertia of each wind turbine based on the load shedding amount of each wind turbine. The load shedding amount of each wind turbine is obtained based on the optimization result of the rotational speed of each wind turbine after load shedding, and then the primary frequency modulation parameters of each wind turbine are coordinated and distributed based on the load shedding amount of each wind turbine, so that the frequency modulation capacity of each wind turbine is fully utilized and the overall primary frequency modulation performance of the wind farm is optimized.

Description

Technical Field

[0001] This invention relates to the field of wind farm frequency regulation control technology, and in particular to a method and apparatus for the coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control. Background Technology

[0002] With the increasing proportion of new energy installed capacity, wind farms can play an important role in the primary frequency regulation of the power system. Load shedding control is an important technical approach for wind farms to participate in primary frequency regulation, enabling wind farms to provide steady-state active power support by reserving backup capacity.

[0003] However, when the entire wind farm is under load shedding control, using the same control parameters for each wind turbine cannot fully utilize its potential frequency regulation capability. Therefore, further research is needed on a collaborative allocation method for primary frequency regulation parameters under wind farm load shedding control. Summary of the Invention

[0004] This invention provides a method and apparatus for the coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, which solves the defect in the prior art that the use of the same control parameters for each wind turbine cannot fully utilize its potential frequency regulation capability, and realizes the coordinated allocation of primary frequency regulation parameters under wind farm load shedding control.

[0005] This invention provides a method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, comprising the following steps:

[0006] Acquire frequency regulation control information and basic operating information of each wind turbine within the wind farm;

[0007] Based on the frequency modulation control information and the basic operating information of each fan, the speed of each fan after load reduction is optimized;

[0008] Based on the optimized speed of each fan after load reduction, the load reduction amount of each fan is obtained;

[0009] Based on the load reduction of each of the aforementioned wind turbines, the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

[0010] According to the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control provided by the present invention, the frequency regulation control information within the wind farm includes: wind farm operating load shedding rate. Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation ;

[0011] The basic operating information of each wind turbine includes: the blade radius of each wind turbine. Gearbox ratio upper limit of speed Lower limit of rotational speed Rated power Wind speed Maximum power utilization factor Inertial time constant air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0012] According to the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control provided by the present invention, the rotational speed of each wind turbine after load shedding is optimized based on the frequency regulation control information and the basic operating information of each wind turbine, specifically including:

[0013] The speed of each fan after unloading To optimize the variables, the rotational speed of each wind turbine after load reduction is optimized with the maximum stored kinetic energy of the rotor as the optimization objective and the overall field load reduction power as the constraint.

[0014] The objective function for optimizing the rotational speed of each of the aforementioned wind turbines after load reduction is:

[0015] ;

[0016] The constraints are:

[0017] ;

[0018] ,

[0019] in, .

[0020] According to the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control provided by the present invention, the load shedding amount of each wind turbine is obtained based on the optimized rotational speed of each wind turbine after load shedding. The specific calculation formula is as follows:

[0021] ,

[0022] in, The power load reduction for each wind turbine in the wind farm.

[0023] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control provided by the present invention, the primary frequency regulation droop coefficient of each wind turbine is coordinatedly allocated based on the load shedding amount of each wind turbine, specifically including:

[0024] Based on the overall primary frequency regulation droop rate of the wind farm Calculate the overall primary frequency regulation droop coefficient of the wind farm. for:

[0025] ;

[0026] The primary frequency regulation droop coefficient for each of the aforementioned fans The formula for collaborative allocation is:

[0027] ,

[0028] in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

[0029] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control provided by the present invention, the primary frequency regulation virtual inertia of each wind turbine is coordinatedly allocated based on the load shedding amount of each wind turbine, specifically including:

[0030] The primary frequency-modulated virtual inertia of each of the aforementioned wind turbines The formula for collaborative allocation is:

[0031] ,

[0032] in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

[0033] The present invention also provides a primary frequency regulation parameter coordinated allocation device based on wind farm load shedding control, comprising the following modules:

[0034] The acquisition module is used to acquire frequency regulation control information and basic operating information of each wind turbine in the wind farm;

[0035] The optimization module is used to optimize the speed of each fan after load reduction based on the frequency regulation control information and the basic operating information of each fan.

[0036] The load reduction calculation module is used to obtain the load reduction of each fan based on the optimized rotational speed of each fan after load reduction.

[0037] The collaborative allocation module is used to collaboratively allocate the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load reduction of each wind turbine.

[0038] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described above.

[0039] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described above.

[0040] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described above.

[0041] This invention provides a method and apparatus for collaborative allocation of primary frequency regulation parameters based on wind farm load shedding control. The method acquires frequency regulation control information and basic operating information of each wind turbine within the wind farm. Based on this information, the rotational speed of each wind turbine after load shedding is optimized. The load shedding amount of each wind turbine is obtained based on the optimized rotational speed. Finally, the primary frequency regulation droop coefficient and virtual inertia of each wind turbine are collaboratively allocated based on the load shedding amount. This invention obtains the load shedding amount of each wind turbine based on the optimized rotational speed after load shedding, and then collaboratively allocates the primary frequency regulation parameters of each wind turbine based on the load shedding amount, thereby fully utilizing the frequency regulation capability of each wind turbine and optimizing the overall primary frequency regulation performance of the wind farm. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating the collaborative allocation method of primary frequency regulation parameters based on wind farm load shedding control provided by the present invention.

[0044] Figure 2 This invention provides a power system model consisting of wind farms, thermal power plants, and loads.

[0045] Figure 3 These are system frequency response curves under two primary frequency modulation parameter allocation methods provided by this invention.

[0046] Figure 4 This is a schematic diagram of the structure of the primary frequency regulation parameter collaborative allocation device based on wind farm load reduction control provided by the present invention.

[0047] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0049] The present invention will now be described in detail with reference to the accompanying drawings. The specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of the present invention, unless otherwise stated, "at least one" includes one or more. "Multiple" refers to two or more. For example, at least one of A, B, and C includes: A existing alone, B existing alone, A and B existing simultaneously, A and C existing simultaneously, B and C existing simultaneously, and A, B, and C existing simultaneously. In the present invention, " / " means "or". For example, A / B can mean A or B. "And / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone.

[0050] The present invention will now be described in detail with reference to specific embodiments.

[0051] In some specific embodiments of the present invention, such as Figure 1 As shown, this scheme provides a method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, including:

[0052] Step 100: Obtain frequency regulation control information and basic operating information of each wind turbine within the wind farm;

[0053] Step 200: Based on the frequency modulation control information and the basic operating information of each fan, optimize the speed of each fan after load reduction;

[0054] Step 300: Based on the optimized rotational speed of each fan after load reduction, obtain the load reduction amount of each fan;

[0055] Step 400: Based on the load reduction of each of the wind turbines, the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

[0056] It should be noted that in existing wind farm primary frequency regulation parameter allocation schemes, all wind turbines are typically assigned the same frequency regulation parameters (such as droop coefficient and virtual inertia). This allocation method ignores the actual capacity differences of each turbine during load shedding, resulting in some turbines failing to fully utilize their frequency regulation potential, while others may reach their power limit prematurely and be unable to continue providing frequency regulation support. Therefore, the frequency regulation performance of the entire wind farm cannot be optimized. Consequently, in situations such as sudden load changes, the existing primary frequency regulation parameter allocation method cannot respond quickly and effectively to system frequency changes, and the frequency regulation resources of the entire wind farm cannot be utilized efficiently. Furthermore, wind speed, wind direction, and other operating conditions within a wind farm are dynamically changing, and the existing fixed frequency regulation parameter allocation method cannot adapt to these dynamic changes and cannot optimize frequency regulation performance in real time.

[0057] Therefore, this invention obtains frequency regulation control information and basic operating information of each wind turbine in the wind farm, determines the load reduction amount of each wind turbine based on the speed optimization results after load reduction, and then determines the collaborative allocation method of primary frequency regulation parameters of each wind turbine based on the load reduction amount. The primary frequency regulation parameters include the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia.

[0058] The above steps will be analyzed in detail below through specific embodiments.

[0059] Step 100: Obtain frequency regulation control information and basic operating information of each wind turbine within the wind farm;

[0060] In some possible embodiments of the present invention, the frequency regulation control information within the wind farm includes: wind farm operating load reduction rate. Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation ;

[0061] The basic operating information of each wind turbine includes: the blade radius of each wind turbine. Gearbox ratio upper limit of speed Lower limit of rotational speed Rated power Wind speed Maximum power utilization factor Inertial time constant air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0062] Specifically, this embodiment provides an implementation method for frequency regulation control information and basic operating information of each wind turbine in a wind farm. Before optimizing the rotational speed of each wind turbine after load reduction, it is necessary to obtain the blade radius of each wind turbine. Gearbox ratio Maximum speed Lower limit of rotational speed Inertial time constant Rated power Wind speed of each fan air density Maximum power utilization factor Wind farm operating load reduction rate Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation By obtaining the values ​​of the above indicators, the rotational speed of each fan after load reduction is optimized.

[0063] Step 200: Based on the frequency modulation control information and the basic operating information of each fan, optimize the speed of each fan after load reduction;

[0064] In some possible embodiments of the present invention, based on the frequency modulation control information and the basic operating information of each of the wind turbines, the rotational speed of each wind turbine after load reduction is optimized, specifically including:

[0065] The speed of each fan after unloading To optimize the variables, the rotational speed of each wind turbine after load reduction is optimized with the maximum stored kinetic energy of the rotor as the optimization objective and the overall field load reduction power as the constraint.

[0066] The objective function for optimizing the rotational speed of each of the aforementioned wind turbines after load reduction is:

[0067] (1);

[0068] The constraints are:

[0069] (2);

[0070] (3),

[0071] in,

[0072] (4).

[0073] Specifically, this embodiment provides an implementation method for optimizing the rotational speed of each wind turbine after load reduction, by using the rotational speed of each wind turbine after load reduction... To optimize the variables, the optimization objective is to maximize the stored kinetic energy of the rotor, and the overall load reduction power is used as a constraint to obtain the optimized speed of each fan after load reduction.

[0074] It is worth noting that in the primary frequency regulation parameter collaborative allocation method of wind farm load shedding control, the rotational speed is selected as the optimization variable mainly because the rotational speed is closely related to the operating characteristics of the wind turbine and the frequency regulation mechanism.

[0075] First, rotational speed is closely related to power output, and the output power of a wind turbine is closely related to its rotational speed. Based on the fundamental principles of wind turbines, the mechanical power of a wind turbine... It can be represented as:

[0076] (5),

[0077] in, It is air density; It is the swept area of ​​the fan; It is the power coefficient and also the tip speed ratio. and blade angle The function; It's wind speed.

[0078] Tip speed ratio Defined as:

[0079] (6),

[0080] in, It is the angular velocity of the fan (proportional to its rotational speed); It is the radius of the wind turbine blades.

[0081] As can be seen from the above formula, the output power of a fan is not only related to wind speed, but also closely related to its rotational speed (or angular velocity). By adjusting the rotational speed, the tip speed ratio can be changed. This affects the power coefficient. This, in turn, changes the output power of the fan.

[0082] Secondly, rotational speed is closely related to energy storage. The rotor of the wind turbine has a certain inertia, and changes in its rotational speed directly affect the rotor's kinetic energy. It can be represented as:

[0083] (7),

[0084] in, It is the rotor's moment of inertia; It is the angular velocity of the rotor.

[0085] In possible embodiments, an inertial time constant may also be used. The moment of inertia parameter of the rotor is used to represent this parameter.

[0086] During unloaded operation, the kinetic energy of the rotor can be altered by adjusting the rotational speed. Higher rotational speeds mean more kinetic energy is stored in the rotor, providing the energy basis for the wind turbine to rapidly release or absorb power during frequency regulation. Therefore, rotational speed is a key variable affecting the wind turbine's energy storage and power regulation capabilities.

[0087] Furthermore, the rotational speed is closely related to the optimization objective and constraints. In the collaborative allocation method of primary frequency regulation parameters for wind farm load shedding control, the optimization objective is to maximize the kinetic energy stored in the rotor to improve the overall frequency regulation capability of the wind farm. The optimization problem can be expressed as:

[0088] Optimization objective: Maximize the kinetic energy stored in the rotor. ;

[0089] Constraints: Overall load reduction power .

[0090] By using rotational speed as an optimization variable, the rotor's kinetic energy can be controlled more directly, thereby achieving the optimization objective. Specifically:

[0091] Optimization variable: Rotation speed of each fan after load reduction ;

[0092] Optimization objective: Maximize total kinetic energy ;

[0093] Constraints: Overall load reduction power = .

[0094] During frequency regulation, the wind turbine needs to respond quickly to changes in the system frequency by adjusting its output power to stabilize the system frequency. Changes in rotational speed directly affect the wind turbine's output power, thus achieving a rapid response. Specifically:

[0095] When the frequency decreases: by reducing the rotational speed, the kinetic energy in the rotor is released, and the output power is increased.

[0096] When the frequency increases: by increasing the rotational speed, excess power in the system is absorbed, and the output power is reduced.

[0097] Therefore, rotational speed, as an optimization variable, can effectively control the dynamic response capability of the fan during frequency regulation and improve the frequency regulation effect.

[0098] From a practical application perspective, the speed of a wind turbine can be precisely measured and adjusted through a control system. Real-time speed control can be achieved by adjusting the blade angle and controlling the converter. Therefore, using speed as an optimization variable is not only theoretically significant but also highly feasible and operable in practical engineering.

[0099] Understandably, this configuration of the present invention fully considers that the rotational speed is directly related to the power output and energy storage capacity of the wind turbine, effectively achieving the optimization objective (maximizing the kinetic energy stored in the rotor), satisfying the constraint condition (overall load reduction power), and improving the dynamic response capability during frequency regulation. By optimizing the rotational speed, the frequency regulation potential of each wind turbine can be fully utilized, optimizing the overall frequency regulation performance of the wind farm.

[0100] Step 300: Based on the optimized rotational speed of each fan after load reduction, obtain the load reduction amount of each fan;

[0101] In some possible embodiments of the present invention, the load reduction of each fan is obtained based on the optimized rotational speed of each fan after load reduction, and the specific calculation formula is as follows:

[0102] (8),

[0103] in, The power load reduction for each wind turbine in the wind farm.

[0104] Specifically, this embodiment provides an implementation method for calculating the load reduction of each fan based on the rotational speed of each fan. The load reduction of each fan calculated through the optimization results of the rotational speed of each fan is also the optimized result.

[0105] Step 400: Based on the load reduction of each of the wind turbines, the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

[0106] In some possible embodiments of the present invention, the primary frequency regulation droop coefficient of each of the wind turbines is collaboratively allocated based on the load reduction of each wind turbine, specifically including:

[0107] Based on the overall primary frequency regulation droop rate of the wind farm Calculate the overall primary frequency regulation droop coefficient of the wind farm. for:

[0108] (9);

[0109] The primary frequency regulation droop coefficient for each of the aforementioned fans The formula for collaborative allocation is:

[0110] (10)

[0111] in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

[0112] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency regulation droop coefficient of each wind turbine. Based on the optimized power load reduction of each wind turbine in the wind farm, the primary frequency regulation droop coefficient of each wind turbine is allocated. By coordinating power allocation, wind turbines with larger load reduction ratios are assigned larger droop coefficients and thus larger additional power outputs during frequency regulation; wind turbines with smaller load reduction ratios are assigned smaller droop coefficients and thus smaller additional power outputs during frequency regulation. This configuration allows each wind turbine to participate in primary frequency regulation to its fullest potential, optimizing the overall primary frequency regulation performance of the wind farm.

[0113] In some possible embodiments of the present invention, the primary frequency regulation virtual inertia of each wind turbine is collaboratively allocated based on the load reduction of each wind turbine, specifically including:

[0114] The primary frequency-modulated virtual inertia of each of the aforementioned wind turbines The formula for collaborative allocation is:

[0115] (11),

[0116] in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

[0117] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency regulation virtual inertia of each wind turbine. Based on the optimized power load reduction of each wind turbine in the wind farm, the primary frequency regulation virtual inertia of each wind turbine is allocated. By coordinating power allocation, wind turbines with larger load reduction ratios are assigned larger virtual inertia and thus output more additional power during frequency regulation; wind turbines with smaller load reduction ratios are assigned smaller virtual inertia and output less additional power during frequency regulation. This configuration allows each wind turbine to participate in primary frequency regulation to its fullest potential, optimizing the overall primary frequency regulation performance of the wind farm.

[0118] In summary, embodiments of the present invention provide a method for the coordinated allocation of primary frequency regulation parameters for wind farm load shedding control. This method includes: obtaining basic operating information and frequency regulation control information within the wind farm; solving an optimization problem based on the obtained information data to obtain a coordinated allocation method for wind farm power load shedding; coordinating the allocation of primary frequency regulation droop coefficients to each wind turbine based on its power load shedding; and coordinating the allocation of primary frequency regulation virtual inertia to each wind turbine based on its power load shedding. Specifically, embodiments of the present invention may include the following steps:

[0119] Step 1: Obtain basic operational information and frequency regulation control information within the wind farm:

[0120] In this step, it is necessary to obtain the blade radius of each wind turbine. Gearbox ratio Maximum speed Lower limit of rotational speed Inertial time constant Rated power Wind speed of each fan air density Maximum power utilization factor Wind farm operating load reduction rate Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation .

[0121] Step 2: Based on the data, solve the optimization problem to obtain the collaborative allocation method for wind farm power load reduction:

[0122] In this step, the specific speed of each fan after unloading is used. To optimize the variables, with the goal of maximizing the stored kinetic energy of the rotor and the overall load reduction power as the constraint, the optimization problem is as follows:

[0123] ,

[0124] In the formula: .

[0125] Based on this, according to the solution results of the optimization problem The power load reduction of each wind turbine in the wind farm was calculated:

[0126] .

[0127] Step 3: Based on the power load reduction of each wind turbine in the wind farm, allocate a primary frequency regulation droop coefficient to each wind turbine collaboratively:

[0128] The overall primary frequency regulation droop factor of the wind farm is:

[0129] .

[0130] To meet the overall frequency regulation requirements of the wind farm, the droop coefficients of each wind turbine within the wind farm need to be coordinated and allocated. Therefore, the droop coefficient of each wind turbine should be set as follows:

[0131] .

[0132] According to this collaborative allocation method, wind turbines with a larger load reduction ratio are allocated a larger droop coefficient and output more additional power during frequency regulation; wind turbines with a smaller load reduction ratio are allocated a smaller droop coefficient and output less additional power during frequency regulation. This allows each wind turbine to participate in primary frequency regulation to its fullest potential, optimizing the overall primary frequency regulation performance of the wind farm.

[0133] Step 4: Based on the power load reduction of each wind turbine in the wind farm, allocate the primary frequency regulation virtual inertia to each wind turbine collaboratively:

[0134] To meet the overall frequency regulation external characteristic requirements of the wind farm, the droop coefficients of each wind turbine within the wind farm need to be coordinated and distributed. Therefore, the primary frequency regulation virtual inertia of each wind turbine should be set as follows:

[0135] .

[0136] According to this collaborative allocation method, wind turbines with a larger load reduction ratio are allocated a larger virtual inertia and output more additional power during frequency regulation; wind turbines with a smaller load reduction ratio are allocated a smaller virtual inertia and output less additional power during frequency regulation. This allows each wind turbine to participate in primary frequency regulation to its fullest potential, optimizing the overall primary frequency regulation performance of the wind farm.

[0137] In a specific embodiment of the present invention, in order to verify the application effect of the present invention, a system as follows was constructed. Figure 2 The system model shown consists of a wind farm, a thermal power plant, and loads.

[0138] exist Figure 2 In the model, the wind farm uses 30 wind turbines. Using the above system model, the frequency regulation effect of the proposed primary frequency regulation parameter collaborative allocation method and the traditional primary frequency regulation parameter allocation method were compared. The traditional primary frequency regulation parameter allocation method assigns the same droop coefficient and virtual inertia to all unloaded wind turbines. Initially, the load suddenly increases by 5%. Simulations were performed on the wind turbine participation in frequency regulation according to the two primary frequency regulation parameter allocation methods, and the resulting system frequency response curves are shown below. Figure 3 As shown.

[0139] According to simulation results, the proposed primary frequency regulation parameter collaborative allocation method improves the minimum system frequency and the steady-state frequency, with a significantly better frequency regulation effect than the traditional method. This is because the proposed method allocates a larger droop coefficient and virtual inertia to wind turbines with larger load reduction capacity, and a smaller droop coefficient and virtual inertia to wind turbines with smaller load reduction capacity, allowing each wind turbine to participate in frequency regulation to its fullest extent. In contrast, the traditional method allocates the same droop coefficient and virtual inertia to all wind turbines, preventing wind turbines with larger load reduction capacity from fully increasing their output power, while wind turbines with smaller load reduction capacity quickly reach their power limit and cannot provide active power support according to the preset droop coefficient and virtual inertia.

[0140] In summary, the effectiveness of the proposed primary frequency modulation parameter collaborative allocation method has been verified.

[0141] The present invention provides a method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control. By optimizing the allocation of frequency regulation parameters for each wind turbine, the method fully utilizes the frequency regulation capability of each wind turbine, optimizes the overall primary frequency regulation performance of the wind farm, and effectively improves the system frequency response.

[0142] In some specific embodiments of the present invention, such as Figure 4 As shown, this solution provides a primary frequency regulation parameter collaborative allocation device based on wind farm load shedding control, including:

[0143] Module 41 is used to acquire frequency regulation control information and basic operating information of each wind turbine in the wind farm.

[0144] Optimization module 42 is used to optimize the speed of each fan after load reduction based on the frequency modulation control information and the basic operating information of each fan.

[0145] The load reduction calculation module 43 is used to obtain the load reduction of each fan based on the optimized rotational speed of each fan after load reduction;

[0146] The collaborative allocation module 44 is used to collaboratively allocate the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each of the wind turbines based on the load reduction of each wind turbine.

[0147] Possibly, the frequency regulation control information within the wind farm includes: the wind farm's operating load reduction rate. Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation ;

[0148] The basic operating information of each wind turbine includes: the blade radius of each wind turbine. Gearbox ratio upper limit of speed Lower limit of rotational speed Rated power Wind speed Maximum power utilization factor Inertial time constant air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0149] Specifically, this embodiment provides an implementation method for frequency regulation control information and basic operating information of each wind turbine in a wind farm.

[0150] Possibly, based on the frequency regulation control information and the basic operating information of each of the wind turbines, the rotational speed of each wind turbine after load reduction can be optimized, specifically including:

[0151] The speed of each fan after unloading To optimize the variables, the rotational speed of each wind turbine after load reduction is optimized with the maximum stored kinetic energy of the rotor as the optimization objective and the overall field load reduction power as the constraint.

[0152] The objective function for optimizing the rotational speed of each of the aforementioned wind turbines after load reduction is:

[0153] ;

[0154] The constraints are:

[0155] ;

[0156] ,

[0157] in, .

[0158] Specifically, this embodiment provides an implementation method for optimizing the rotational speed of each of the aforementioned wind turbines after load reduction.

[0159] Possibly, based on the optimized reduced speed of each fan after unloading, the load reduction of each fan can be obtained, and the specific calculation formula is as follows:

[0160] ,

[0161] in, The power load reduction for each wind turbine in the wind farm.

[0162] Specifically, this embodiment provides an implementation method for calculating the load reduction of each fan based on the rotational speed of each fan.

[0163] Possibly, based on the load reduction of each of the aforementioned wind turbines, the primary frequency regulation droop coefficient of each wind turbine is collaboratively allocated, specifically including:

[0164] Based on the overall primary frequency regulation droop rate of the wind farm Calculate the overall primary frequency regulation droop coefficient of the wind farm. for:

[0165] ;

[0166] The primary frequency regulation droop coefficient for each of the aforementioned fans The formula for collaborative allocation is:

[0167] .

[0168] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency regulation droop coefficient of each fan.

[0169] Possibly, based on the load reduction of each wind turbine, the primary frequency regulation virtual inertia of each wind turbine is collaboratively allocated, specifically including:

[0170] The primary frequency-modulated virtual inertia of each of the aforementioned wind turbines The formula for collaborative allocation is:

[0171] .

[0172] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency-modulated virtual inertia of each wind turbine.

[0173] The primary frequency regulation parameter collaborative allocation device based on wind farm load shedding control provided in this embodiment of the invention has a similar implementation principle and beneficial effects to the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control shown in the above embodiment. For details, please refer to the implementation principle and beneficial effects of the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control shown in the above embodiment. It will not be repeated here.

[0174] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5 As shown, the electronic device may include a processor 510, a communication interface 520, a memory 530, and a communication bus 540. The processor 510, communication interface 520, and memory 530 communicate with each other via the communication bus 540. The processor 510 can call logical instructions in the memory 530 to execute a method for collaborative allocation of primary frequency regulation parameters based on wind farm load shedding control. This method includes: acquiring frequency regulation control information within the wind farm and basic operating information of each wind turbine; optimizing the rotational speed of each wind turbine after load shedding based on the frequency regulation control information and the basic operating information of each wind turbine; obtaining the load shedding amount of each wind turbine based on the optimized rotational speed after load shedding; and collaboratively allocating the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load shedding amount.

[0175] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0176] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control provided by the above methods. The method includes: acquiring frequency regulation control information and basic operating information of each wind turbine in the wind farm; optimizing the rotational speed of each wind turbine after load shedding based on the frequency regulation control information and the basic operating information of each wind turbine; obtaining the load shedding amount of each wind turbine based on the optimized rotational speed of each wind turbine after load shedding; and coordinating the allocation of the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each wind turbine based on the load shedding amount of each wind turbine.

[0177] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements a method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, as provided by the methods described above. The method includes: acquiring frequency regulation control information within the wind farm and basic operating information of each wind turbine; optimizing the rotational speed of each wind turbine after load shedding based on the frequency regulation control information and the basic operating information of each wind turbine; obtaining the load shedding amount of each wind turbine based on the optimized rotational speed of each wind turbine after load shedding; and coordinating the allocation of the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each wind turbine based on the load shedding amount of each wind turbine.

[0178] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0179] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0180] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, characterized in that, include: Acquire frequency regulation control information and basic operating information of each wind turbine within the wind farm. The frequency regulation control information within the wind farm includes: wind farm operating load reduction rate. Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation The basic operating information of each wind turbine includes: the blade radius of each wind turbine. Gearbox ratio upper limit of speed Lower limit of rotational speed Rated power Wind speed Maximum power utilization factor Inertial time constant air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm; Based on the frequency modulation control information and the basic operating information of each fan, the speed of each fan after load reduction is... To optimize the variables, with the maximization of rotor stored kinetic energy as the optimization objective and the overall field unload power as the constraint, the rotational speed of each wind turbine after unloading is optimized; wherein, the objective function for optimizing the rotational speed of each wind turbine after unloading is: ； The constraints are: ； ， in, ; Based on the optimized speed of each fan after load reduction, the load reduction amount of each fan is obtained; Based on the load reduction of each of the aforementioned wind turbines, the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

2. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control according to claim 1, characterized in that, Based on the optimized speed of each fan after load reduction, the load reduction of each fan is obtained, and the specific calculation formula is as follows: ， in, The power load reduction for each wind turbine in the wind farm. This is the power coefficient.

3. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control according to claim 2, characterized in that, Based on the load reduction of each of the aforementioned wind turbines, the primary frequency regulation droop coefficient of each wind turbine is collaboratively allocated, specifically including: Based on the overall primary frequency regulation droop rate of the wind farm Calculate the overall primary frequency regulation droop coefficient of the wind farm. for: ； Primary frequency regulation droop coefficient for each of the aforementioned fans The formula for collaborative allocation is: ， in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

4. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control according to claim 2, characterized in that, Based on the load reduction of each wind turbine, the primary frequency regulation virtual inertia of each wind turbine is collaboratively allocated, specifically including: The primary frequency-modulated virtual inertia of each of the aforementioned wind turbines The formula for collaborative allocation is: ， in, This represents the rated power of the j-th fan. This represents the load reduction of the j-th wind turbine. j =1~N.

5. A primary frequency regulation parameter collaborative allocation device based on wind farm load shedding control, characterized in that, include: The acquisition module is used to acquire frequency regulation control information and basic operating information of each wind turbine within the wind farm. The frequency regulation control information within the wind farm includes: wind farm operating load reduction rate. Overall primary frequency regulation droop rate of wind farm Virtual inertia of the wind farm's overall primary frequency regulation The basic operating information of each wind turbine includes: the blade radius of each wind turbine. Gearbox ratio upper limit of speed Lower limit of rotational speed Rated power Wind speed Maximum power utilization factor Inertial time constant air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm; The optimization module is used to adjust the rotational speed of each fan after load reduction based on the frequency modulation control information and the basic operating information of each fan. To optimize the variables, with the maximization of rotor stored kinetic energy as the optimization objective and the overall field unload power as the constraint, the rotational speed of each wind turbine after unloading is optimized; wherein, the objective function for optimizing the rotational speed of each wind turbine after unloading is: ； The constraints are: ； ， in, ; The load reduction calculation module is used to obtain the load reduction of each fan based on the optimized rotational speed of each fan after load reduction. The collaborative allocation module is used to collaboratively allocate the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load reduction of each wind turbine.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described in any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described in any one of claims 1 to 4.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the primary frequency regulation parameter collaborative allocation method based on wind farm load shedding control as described in any one of claims 1 to 4.

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