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

Abstract

The invention provides a primary frequency modulation parameter collaborative distribution method and device based on wind power plant load shedding control. The method comprises the following steps: acquiring frequency modulation control information in a wind power plant and basic operation information of each fan; based on the frequency modulation control information and the basic operation information of each fan, optimizing the rotating speed of each fan after load shedding; on the basis of the optimized rotating speed of each fan after load shedding, the load shedding amount of each fan is obtained; and based on the load shedding amount of each fan, carrying out cooperative distribution on the primary frequency modulation droop coefficient and the primary frequency modulation virtual inertia of each fan. According to the method, the load shedding amount of each fan is obtained based on the optimization result of the rotating speed of each fan after load shedding, and then the primary frequency modulation parameters of each fan are cooperatively distributed based on the load shedding amount of each fan, so that the frequency modulation capability of each fan is fully exerted, and the overall primary frequency modulation performance of the wind power plant is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm frequency regulation control, and in particular to a method and device for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control. Background Art

[0002] As the proportion of new energy installed capacity continues to increase, wind farms can play an important role in the primary frequency regulation of the power system. Load reduction control is an important technical route for wind farms to participate in primary frequency regulation. By reserving spare capacity, wind farms can provide steady-state active support.

[0003] However, when the entire wind farm is under load shedding control, the use of the same control parameters by each wind turbine cannot fully utilize its potential frequency regulation capability. Therefore, it is necessary to further study the coordinated allocation method of primary frequency regulation parameters under wind farm load shedding control. Summary of the invention

[0004] The present invention provides a method and device for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control, which is used to solve the defect in the prior art that each wind turbine set cannot fully exert its potential frequency regulation capability by using the same control parameters, and realizes coordinated allocation of primary frequency regulation parameters under wind farm load shedding control.

[0005] The present invention provides a method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control, comprising the following steps: Obtain frequency modulation control information within the wind farm and basic operating information of each wind turbine; Based on the frequency modulation control information and the basic operation information of each of the fans, optimizing the rotation speed of each of the fans after load reduction; Based on the optimized rotation speed of each of the fans after load reduction, obtaining the load reduction amount of each fan; Based on the load reduction of each of the fans, the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each of the fans are collaboratively allocated.

[0006] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control provided by the present invention, the frequency regulation control information in the wind farm includes: wind farm operation load reduction rate , the overall primary frequency regulation rate of the wind farm , Virtual inertia of wind farm primary frequency regulation ; The basic operating information of each fan includes: the blade radius of each fan , gearbox ratio , upper speed limit , Speed ​​lower limit , Rated power , wind speed , Maximum power utilization factor , inertia time constant , air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0007] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load shedding control provided by the present invention, based on the frequency regulation control information and the basic operation information of each wind turbine, the speed of each wind turbine after load shedding is optimized, specifically including: The speed of each fan after load reduction To optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition, and the speed of each wind turbine after load reduction is optimized; The objective function for optimizing the speed of each fan after load reduction is: ; The constraints are: ; , in, .

[0008] According to the primary frequency regulation parameter coordinated allocation method based on wind farm load reduction control provided by the present invention, based on the optimized rotation speed of each wind turbine after load reduction, the load reduction amount of each wind turbine is obtained, and the specific calculation formula is: , in, It is the power reduction of each wind turbine in the wind farm.

[0009] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control provided by the present invention, based on the load reduction amount of each wind turbine, the primary frequency regulation droop coefficient of each wind turbine is coordinatedly allocated, specifically comprising: Based on the overall primary frequency regulation rate of wind farm , calculate the primary frequency droop coefficient of the entire wind farm for: ; The primary frequency modulation droop coefficient of each fan The formula for co-allocation is: , in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

[0010] According to the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control provided by the present invention, based on the load reduction amount of each wind turbine, the primary frequency regulation virtual inertia of each wind turbine is coordinated allocated, specifically comprising: The primary frequency modulation virtual inertia of each fan The formula for co-allocation is: , in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

[0011] The present invention also provides a primary frequency regulation parameter coordinated allocation device based on wind farm load reduction control, comprising the following modules: An acquisition module is used to obtain frequency modulation control information in the wind farm and basic operation information of each wind turbine; An optimization module, configured to optimize the rotation speed of each of the fans after load reduction based on the frequency modulation control information and basic operation information of each of the fans; A load reduction calculation module, used to obtain the load reduction of each fan based on the optimized rotation speed of each fan after load reduction; The coordinated allocation module is used to coordinately allocate the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each of the wind turbines based on the load reduction amount of each of the wind turbines.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control as described in any one of the above-mentioned methods is implemented.

[0013] 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 any of the above-described methods for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control as described in any one of the above methods.

[0015] The method and device for collaboratively allocating primary frequency regulation parameters based on wind farm load reduction control provided by the present invention obtain frequency regulation control information and basic operating information of each wind turbine in the wind farm; optimize the rotation speed of each wind turbine after load reduction based on the frequency regulation control information and basic operating information of each wind turbine; obtain the load reduction amount of each wind turbine based on the optimized rotation speed of each wind turbine after load reduction; and collaboratively allocate the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load reduction amount of each wind turbine. The present invention obtains the load reduction amount of each wind turbine based on the optimization result of the rotation speed of each wind turbine after load reduction, and then collaboratively allocates the primary frequency regulation parameters of each wind turbine based on the load reduction amount of each wind turbine, so as to give full play to the frequency regulation capability of each wind turbine and optimize the overall primary frequency regulation performance of the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control provided by the present invention.

[0018] Figure 2 The invention provides a power system model consisting of a wind farm, a thermal power plant and loads.

[0019] Figure 3 It is a system frequency response curve diagram under two primary frequency modulation parameter allocation modes provided by the present invention.

[0020] Figure 4 It is a structural schematic diagram of a primary frequency regulation parameter collaborative allocation device based on wind farm load reduction control provided by the present invention.

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] The present invention is described in detail below in conjunction with the accompanying drawings of the specification. The specific operating method in the method embodiment can also be applied to the device embodiment or the system embodiment. In the description of the present invention, unless otherwise specified, "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 exists alone, B exists alone, A and B exist at the same time, A and C exist at the same time, B and C exist at the same time, and A, B and C exist at the same time. In the present invention, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a kind of association relationship that describes the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0024] The present invention will be described in detail below in conjunction with specific implementation modes.

[0025] In some specific embodiments of the present invention, Figure 1 As shown, this scheme provides a method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control, including: Step 100: Obtain frequency modulation control information in the wind farm and basic operation information of each wind turbine; Step 200: Optimizing the rotation speed of each of the fans after load reduction based on the frequency modulation control information and basic operation information of each of the fans; Step 300, obtaining the load reduction amount of each fan based on the optimized speed of each fan after load reduction; Step 400: Based on the load reduction amount of each wind turbine, the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

[0026] It should be noted that in the existing primary frequency regulation parameter allocation scheme in a wind farm, all wind turbines are usually assigned the same frequency regulation parameters (such as droop coefficient and virtual inertia). This allocation method ignores the actual capacity differences of each wind turbine when operating at reduced load, resulting in some wind turbines being unable to fully utilize their frequency regulation potential, while other wind turbines may reach their power limit too early and cannot continue to provide frequency regulation support. Therefore, the frequency regulation performance of the entire wind farm cannot be optimized. In addition, in the case of sudden load changes, the existing primary frequency regulation parameter allocation method cannot quickly and effectively respond to system frequency changes, and the frequency regulation resources of the entire wind farm cannot be efficiently utilized. In addition, the operating conditions such as wind speed and wind direction in the wind farm are dynamically changing, and the fixed frequency regulation parameter allocation method of the existing technology cannot adapt to these dynamic changes and cannot optimize the frequency regulation performance in real time.

[0027] Therefore, the present invention obtains the frequency regulation control information and the basic operation information of each wind turbine in the wind farm, determines the load reduction amount of each wind turbine according to the speed optimization result after the load reduction of each wind turbine, and then determines the coordinated allocation method of the primary frequency regulation parameters of each wind turbine according to the load reduction amount. The primary frequency regulation parameters include the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia.

[0028] The above steps are specifically analyzed below through specific embodiments.

[0029] Step 100: Obtain frequency modulation control information in the wind farm and basic operation information of each wind turbine; In some possible implementations of the present invention, the frequency modulation control information in the wind farm includes: the wind farm operation load reduction rate , the overall primary frequency regulation rate of the wind farm , Virtual inertia of wind farm primary frequency regulation ; The basic operating information of each fan includes: the blade radius of each fan , gearbox ratio , upper speed limit , Speed ​​lower limit , Rated power , wind speed , Maximum power utilization factor , inertia time constant , air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0030] Specifically, this embodiment provides an implementation method for frequency modulation control information and basic operation information of each wind turbine in a wind farm. Before optimizing the speed of each wind turbine after load reduction, it is necessary to obtain the blade radius of each wind turbine. ; Gearbox ratio ; Speed ​​upper limit ; Speed ​​lower limit ; Inertia time constant ; Rated power ; Wind speed of each fan ; Air density ; Maximum power utilization factor ; Wind farm operation load reduction rate ; Wind farm overall primary frequency regulation rate ; Virtual inertia of wind farm primary frequency regulation , by obtaining the above-mentioned index values, the speed of each fan after load reduction is optimized.

[0031] Step 200: Optimizing the rotation speed of each of the fans after load reduction based on the frequency modulation control information and basic operation information of each of the fans; In some possible implementations of the present invention, based on the frequency modulation control information and the basic operation information of each of the fans, the speed of each of the fans after load reduction is optimized, specifically including: The speed of each fan after load reduction To optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition, and the speed of each wind turbine after load reduction is optimized; The objective function for optimizing the speed of each fan after load reduction is: (1); The constraints are: (2); (3), in, (4).

[0032] Specifically, this embodiment provides an implementation method for optimizing the speed of each fan after the load is reduced, by using the speed of each fan after the load is reduced. In order to optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition to obtain the optimized speed of each fan after load reduction.

[0033] It is worth noting that in the coordinated allocation method of primary frequency regulation parameters for load shedding control of wind farms, the speed is selected as the optimization variable, mainly considering that the speed is closely related to the operating characteristics and frequency regulation mechanism of the wind turbine.

[0034] First of all, the speed is closely related to the power output, and the output power of the fan is closely related to the speed. According to the basic principle of wind turbines, the mechanical power of the fan It can be expressed as: (5), in, is the air density; is the fan swept area; is the power coefficient, also known as the tip speed ratio and blade angle Function of It's the wind speed.

[0035] Tip speed ratio Defined as: (6), in, is the angular velocity of the wind turbine (proportional to the rotational speed); is the blade radius of the wind turbine.

[0036] It can be seen from the above formula that the output power of the wind turbine is not only related to the wind speed, but also closely related to the rotational speed (or angular velocity). By adjusting the rotational speed, the tip speed ratio can be changed, thereby affecting the power coefficient

[0037] and further changing the output power of the wind turbine. Secondly, the rotational speed is closely related to energy storage. The rotor of the wind turbine has a certain inertia, and its rotational speed change directly affects the kinetic energy of the rotor. The kinetic energy of the rotor can be expressed as: where is the moment of inertia of the rotor; is the angular velocity of the rotor.

[0038] In a possible embodiment, the inertia time constant can also be used to represent the moment of inertia parameter of the rotor.

[0039] During load shedding operation, by adjusting the rotational speed, the kinetic energy of the rotor can be changed. A higher rotational speed means more kinetic energy is stored in the rotor, which provides an energy basis for the wind turbine to quickly release or absorb power during the frequency modulation process. Therefore, the rotational speed is a key variable affecting the energy storage and power regulation capabilities of the wind turbine.

[0040] Furthermore, the rotational speed is closely related to the optimization objective and constraints. In the coordinated distribution method of primary frequency modulation 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 modulation ability of the wind farm. The optimization problem can be expressed as: Optimization objective: Maximize the kinetic energy stored in the rotor ; Constraint condition: The total load shedding power of the whole field .

[0041] By taking the rotational speed as the optimization variable, the kinetic energy of the rotor can be more directly controlled, thereby achieving the optimization objective. Specifically: Optimization variable: The rotational speed of each wind turbine after load shedding ; Optimization objective: Maximize the total kinetic energy ; Constraint condition: The total load shedding power of the whole field = .

[0042] During the frequency modulation process, the fan needs to respond quickly to changes in the system frequency and stabilize the system frequency by adjusting the output power. Changes in speed can directly affect the fan's output power, thereby achieving a quick response. Specifically: When the frequency decreases: by reducing the speed, the kinetic energy in the rotor is released and the output power is increased.

[0043] When the frequency rises: by increasing the speed, the excess power in the system is absorbed and the output power is reduced.

[0044] Therefore, the speed, as an optimization variable, can effectively control the dynamic response capability of the fan during the frequency modulation process and improve the frequency modulation effect.

[0045] From the perspective of practical application, the speed of the fan can be accurately measured and adjusted through the control system. By adjusting the blade angle, converter control, etc., the speed can be controlled in real time. Therefore, using the speed as the optimization variable is not only of great significance in theory, but also has good feasibility and operability in actual engineering.

[0046] It can be understood that this configuration of the present invention fully considers that the speed is directly related to the power output and energy storage capacity of the wind turbine, and can effectively achieve the optimization goal (maximizing the rotor storage kinetic energy), meet the constraint conditions (whole-field load reduction power), and improve the dynamic response capability during the frequency modulation process. By optimizing the speed, the frequency modulation potential of each wind turbine can be fully utilized and the overall frequency modulation performance of the wind farm can be optimized.

[0047] Step 300, obtaining the load reduction amount of each fan based on the optimized speed of each fan after load reduction; In some possible implementations of the present invention, based on the optimized rotation speed of each fan after load reduction, the load reduction amount of each fan is obtained, and the specific calculation formula is: (8), in, It is the power load reduction of each wind turbine in the wind farm.

[0048] Specifically, this embodiment provides an implementation method for calculating the load reduction amount of each fan based on the rotational speed of each fan. The load reduction amount of each fan calculated through the rotational speed optimization result of each fan is also an optimized result.

[0049] Step 400: Based on the load reduction amount of each wind turbine, the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each wind turbine are collaboratively allocated.

[0050] In some possible implementations of the present invention, based on the load reduction amount of each wind turbine, the primary frequency modulation droop coefficient of each wind turbine is collaboratively allocated, specifically including: Based on the overall primary frequency regulation rate of wind farm , calculate the primary frequency droop coefficient of the entire wind farm for: (9); The primary frequency modulation droop coefficient of each fan The formula for co-allocation is: (10), in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

[0051] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency modulation droop coefficients of each wind turbine, and according to the optimized power load reduction of each wind turbine in the wind farm, the primary frequency modulation droop coefficients of each wind turbine are coordinated. The wind turbine with a large load shedding ratio is allocated with a large droop coefficient, and the additional power output during the frequency modulation process is large; the wind turbine with a small load shedding ratio is allocated with a small droop coefficient, and the additional power output during the frequency modulation process is small. Through the above settings, each wind turbine can participate in the primary frequency modulation to the best of its ability, optimizing the overall primary frequency modulation performance of the wind farm.

[0052] In some possible implementations of the present invention, based on the load reduction of each wind turbine, the primary frequency modulation virtual inertia of each wind turbine is collaboratively allocated, specifically including: The primary frequency modulation virtual inertia of each fan The formula for co-allocation is: (11), in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

[0053] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency regulation virtual inertia of each wind turbine, and according to 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. The wind turbines with large load shedding ratios are allocated with large virtual inertia, and the additional power output during the frequency modulation process is large; the wind turbines with small load shedding ratios are allocated with small virtual inertia, and the additional power output during the frequency modulation process is small. Through the above settings, each wind turbine can participate in the primary frequency modulation to the best of its ability, optimizing the overall primary frequency modulation performance of the wind farm.

[0054] In general, an embodiment of the present invention provides a method for coordinated allocation of primary frequency regulation parameters for load shedding control in a wind farm, the method comprising: obtaining basic operation information and frequency regulation control information in the wind farm; solving an optimization problem based on the obtained information data to obtain a coordinated allocation method for power load shedding in the wind farm; based on the power load shedding of each wind turbine in the wind farm, collaboratively allocating a primary frequency regulation droop coefficient to each wind turbine; based on the power load shedding of each wind turbine in the wind farm, collaboratively allocating a primary frequency regulation virtual inertia to each wind turbine. Specifically, the embodiment of the present invention may specifically include the following steps: Step 1: Obtain basic operation information and frequency control information in the wind farm: In this step, the blade radius of each fan needs to be obtained ; Gearbox ratio ; Speed ​​upper limit ; Speed ​​lower limit ; Inertia time constant ; Rated power ; Wind speed of each fan ; Air density ; Maximum power utilization factor ; Wind farm operation load reduction rate ; The overall primary frequency regulation rate of the wind farm ; Virtual inertia of wind farm primary frequency regulation .

[0055] Step 2: Based on the data, solve the optimization problem to obtain the coordinated allocation method of wind farm power load reduction: In this step, the speed of each fan after load reduction is To optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition. The optimization problem is: , Where: .

[0056] On this basis, according to the solution results of the optimization problem The power reduction of each wind turbine in the wind farm is calculated: .

[0057] Step 3: Based on the power load reduction of each wind turbine in the wind farm, coordinately allocate the primary frequency regulation droop coefficient to each wind turbine: The primary frequency regulation droop coefficient of the wind farm as a whole is: .

[0058] In order to meet the overall frequency regulation external characteristic requirements of the wind farm, the droop coefficients of each wind turbine in the wind farm need to be coordinated and allocated. Therefore, the droop coefficient of each wind turbine should be set as: .

[0059] According to this collaborative allocation method, the wind turbine with a large load reduction ratio is allocated a large droop coefficient, and the additional power output during the frequency regulation process is large; the wind turbine with a small load reduction ratio is allocated a small droop coefficient, and the additional power output during the frequency regulation process is small. This allows each wind turbine to participate in the primary frequency regulation to the best of its ability, optimizing the overall primary frequency regulation performance of the wind farm.

[0060] Step 4: Based on the power load reduction of each wind turbine in the wind farm, a frequency regulation virtual inertia is allocated to each wind turbine in a coordinated manner: In order to meet the requirements of the overall frequency regulation external characteristics of the wind farm, the droop coefficients of each wind turbine in the wind farm need to be coordinated and allocated. Therefore, the primary frequency regulation virtual inertia of each wind turbine should be set to: .

[0061] According to this collaborative allocation method, wind turbines with large load shedding ratios are allocated with large virtual inertia, and the additional power output during frequency regulation is large; wind turbines with small load shedding ratios are allocated with small virtual inertia, and the additional power output during frequency regulation is small. This also allows each wind turbine to participate in primary frequency regulation to the best of its ability, optimizing the overall primary frequency regulation performance of the wind farm.

[0062] In the specific embodiment of the present invention, in order to verify the application effect of the present invention, the following Figure 2 The system model consisting of wind farms, thermal power plants and loads is shown.

[0063] exist Figure 2 In the model, 30 wind turbines are used in the wind farm. Using the above system model, the frequency regulation effects of the primary frequency regulation parameter collaborative allocation method proposed in the present invention and the traditional primary frequency regulation parameter allocation method are compared. Among them, the traditional primary frequency regulation parameter allocation method refers to allocating the same droop coefficient and virtual inertia to all load-reducing wind turbines. At the initial moment, the load suddenly increases by 5%. According to the two primary frequency regulation parameter allocation methods, the process of wind turbines participating in frequency regulation is simulated respectively, and the obtained system frequency response curve is as follows Figure 3 shown.

[0064] According to the simulation results, the proposed method of coordinated allocation of primary frequency regulation parameters improves the minimum value of system frequency and the steady-state frequency of the system, and the frequency regulation effect is significantly better than the traditional method. This is because the proposed method of allocating frequency regulation parameters allocates a larger droop coefficient and virtual inertia to the wind turbine with a large load shedding capacity, and allocates a smaller droop coefficient and virtual inertia to the wind turbine with a small load shedding capacity, so that each wind turbine can participate in frequency regulation to the best of its ability. The traditional method allocates the same droop coefficient and virtual inertia to all wind turbines, so that the wind turbine with a large load shedding capacity cannot fully increase the output power, and the wind turbine with a small load shedding capacity quickly reaches the power limit and cannot provide active support according to the preset droop coefficient and virtual inertia.

[0065] In summary, the effectiveness of the proposed primary frequency modulation parameter collaborative allocation method has been verified.

[0066] The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control provided by the present invention fully utilizes the frequency regulation capability of each wind turbine by optimizing the allocation of frequency regulation parameters of each wind turbine, optimizes the primary frequency regulation performance of the entire wind farm, and effectively improves the system frequency response.

[0067] In some specific embodiments of the present invention, Figure 4 As shown, this solution provides a primary frequency regulation parameter coordinated allocation device based on wind farm load reduction control, including: An acquisition module 41 is used to acquire frequency modulation control information in the wind farm and basic operation information of each wind turbine; An optimization module 42, configured to optimize the rotation speed of each of the fans after load reduction based on the frequency modulation control information and basic operation information of each of the fans; A load reduction calculation module 43 is used to obtain the load reduction of each fan based on the optimized rotation speed of each fan after load reduction; The coordinated allocation module 44 is used to coordinately allocate the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each of the wind turbines based on the load reduction amount of each of the wind turbines.

[0068] Possibly, the frequency regulation control information in the wind farm includes: wind farm operation load reduction rate , the overall primary frequency regulation rate of the wind farm , Virtual inertia of wind farm primary frequency regulation ; The basic operating information of each fan includes: the blade radius of each fan , gearbox ratio , upper speed limit , Speed ​​lower limit , Rated power , wind speed , Maximum power utilization factor , inertia time constant , air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

[0069] Specifically, this embodiment provides an implementation method for frequency modulation control information and basic operation information of each wind turbine in a wind farm.

[0070] Possibly, based on the frequency modulation control information and the basic operation information of each of the fans, the speed of each of the fans after load reduction is optimized, specifically including: The speed of each fan after load reduction To optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition, and the speed of each wind turbine after load reduction is optimized; The objective function for optimizing the speed of each fan after load reduction is: ; The constraints are: ; , in, .

[0071] Specifically, this embodiment provides an implementation method for optimizing the rotation speed of each fan after load reduction.

[0072] Possibly, based on the optimized rotation speed of each of the fans after load reduction, the load reduction amount of each fan is obtained, and the specific calculation formula is: , in, It is the power reduction of each wind turbine in the wind farm.

[0073] Specifically, this embodiment provides an implementation method for calculating the load reduction amount of each fan based on the rotation speed of each fan.

[0074] Possibly, based on the load reduction of each wind turbine, the primary frequency modulation droop coefficient of each wind turbine is collaboratively allocated, specifically including: Based on the overall primary frequency regulation rate of wind farm , calculate the primary frequency droop coefficient of the entire wind farm for: ; The primary frequency modulation droop coefficient of each fan The formula for co-allocation is: .

[0075] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency modulation droop coefficients of each wind turbine.

[0076] 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: The primary frequency modulation virtual inertia of each fan The formula for co-allocation is: .

[0077] Specifically, this embodiment provides an implementation method for collaboratively allocating the primary frequency modulation virtual inertia of each wind turbine.

[0078] The implementation principle and beneficial effects of the primary frequency regulation parameter collaborative allocation device based on wind farm load shedding control provided in an embodiment of the present invention are similar 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. 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, and no further details will be given here.

[0079] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the primary frequency modulation parameter coordinated allocation method based on the wind farm load reduction control, the method comprising: obtaining the frequency modulation control information and the basic operation information of each wind turbine in the wind farm; optimizing the speed of each wind turbine after load reduction based on the frequency modulation control information and the basic operation information of each wind turbine; obtaining the load reduction amount of each wind turbine based on the optimized speed of each wind turbine after load reduction; and coordinating the primary frequency modulation droop coefficient and the primary frequency modulation virtual inertia of each wind turbine based on the load reduction amount of each wind turbine.

[0080] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0081] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program 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 primary frequency regulation parameter coordinated allocation method based on wind farm load reduction control provided by the above methods, the method including: obtaining frequency regulation control information and basic operating information of each wind turbine in the wind farm; optimizing the speed of each wind turbine after load reduction based on the frequency regulation control information and the basic operating information of each wind turbine; obtaining the load reduction amount of each wind turbine based on the optimized speed of each wind turbine after load reduction; and coordinatedly allocating the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load reduction amount of each wind turbine.

[0082] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the primary frequency regulation parameter coordinated allocation method based on wind farm load reduction control provided by the above-mentioned methods, the method comprising: obtaining frequency regulation control information and basic operating information of each wind turbine in the wind farm; optimizing the speed of each wind turbine after load reduction based on the frequency regulation control information and the basic operating information of each wind turbine; obtaining the load reduction amount of each wind turbine based on the optimized speed of each wind turbine after load reduction; and coordinatedly allocating the primary frequency regulation droop coefficient and primary frequency regulation virtual inertia of each wind turbine based on the load reduction amount of each wind turbine.

[0083] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0084] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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 reduction control, characterized in that: include: Obtain frequency modulation control information within the wind farm and basic operating information of each wind turbine; Based on the frequency modulation control information and the basic operation information of each of the fans, optimizing the rotation speed of each of the fans after load reduction; Based on the optimized rotation speed of each of the fans after load reduction, obtaining the load reduction amount of each fan; Based on the load reduction of each of the fans, the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each of the fans are collaboratively allocated.

2. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control according to claim 1 is characterized in that: The frequency modulation control information in the wind farm includes: the wind farm operation load reduction rate , the overall primary frequency regulation rate of the wind farm , Virtual inertia of wind farm primary frequency regulation ; The basic operating information of each fan includes: the blade radius of each fan , gearbox ratio , upper speed limit , Speed ​​lower limit , Rated power , wind speed , Maximum power utilization factor , inertia time constant , air density ;in, i =1~N, where N is the total number of wind turbines in the wind farm.

3. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control according to claim 2 is characterized in that: Based on the frequency modulation control information and the basic operation information of each of the fans, the speed of each of the fans after load reduction is optimized, specifically including: The speed of each fan after load reduction To optimize the variables, the maximum rotor storage kinetic energy is taken as the optimization target, and the whole field load reduction power is taken as the constraint condition, and the speed of each wind turbine after load reduction is optimized; The objective function for optimizing the speed of each fan after load reduction is: ； The constraints are: ； ， in, .

4. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control according to claim 3 is characterized in that: Based on the optimized speed of each fan after load reduction, the load reduction amount of each fan is obtained. The specific calculation formula is: ， in, It is the power reduction of each wind turbine in the wind farm.

5. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control according to claim 4 is characterized in that: Based on the load reduction of each of the fans, the primary frequency modulation droop coefficient of each of the fans is collaboratively allocated, specifically including: Based on the overall primary frequency regulation rate of wind farm , calculate the primary frequency droop coefficient of the entire wind farm for: ； The primary frequency modulation droop coefficient of each fan The formula for co-allocation is: ， in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

6. The method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control according to claim 4 is characterized in that: Based on the load reduction of each of the fans, the primary frequency modulation virtual inertia of each of the fans is collaboratively allocated, specifically including: The primary frequency modulation virtual inertia of each fan The formula for co-allocation is: ， in, represents the rated power of the jth fan, represents the load reduction of the j-th fan, j =1~N.

7. A primary frequency regulation parameter coordinated allocation device based on wind farm load reduction control, characterized in that: include: An acquisition module is used to obtain frequency modulation control information in the wind farm and basic operation information of each wind turbine; An optimization module, configured to optimize the rotation speed of each of the fans after load reduction based on the frequency modulation control information and basic operation information of each of the fans; A load reduction calculation module, used to obtain the load reduction of each fan based on the optimized rotation speed of each fan after load reduction; The coordinated allocation module is used to coordinately allocate the primary frequency regulation droop coefficient and the primary frequency regulation virtual inertia of each of the wind turbines based on the load reduction amount of each of the wind turbines.

8. 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, the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for coordinated allocation of primary frequency regulation parameters based on wind farm load reduction control as claimed in any one of claims 1 to 6 is implemented.

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