Primary frequency modulation control method and device based on wind storage cooperation and electronic equipment
Through the primary frequency regulation control method based on wind storage coordination, the wind speed and residual energy storage capacity parameters are used for dynamic control, which solves the impact of wind power generation on the grid frequency stability and the instability of the energy storage system, and achieves efficient frequency response and improvement of power quality.
Patent Information
- Application Number
- CN202510001352.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-02
- Publication Date
- 2025-05-06
AI Technical Summary
The volatility and low inertia of wind power generation affect the stability of the grid frequency. The primary frequency modulation control cost of the prior art is high or unstable, and the energy storage system is prone to overcharge or overdischarge in the primary frequency modulation.
The primary frequency modulation control method based on wind storage coordination is adopted. The dynamic control method of wind storage coordinated primary frequency modulation is determined based on wind speed parameters and energy storage residual capacity parameters by responding to the predetermined range of frequency deviation on the grid side, and the control parameters are matched using a preset fuzzy control method to obtain the virtual sag coefficient and virtual inertia coefficient, and then the calculation process is performed to realize primary frequency modulation control.
It effectively improves the frequency response characteristics of the wind storage system, reduces the cost of primary frequency regulation, avoids the overcharge or overdischarge problems of the energy storage system, and improves the frequency stability and power quality of the wind power system.
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Figure CN119944730A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of wind power generation, and in particular to a primary frequency modulation control method, device and electronic equipment based on wind-storage collaboration. Background Art
[0002] The volatility and low inertia of wind power generation seriously affect the frequency stability of the power grid, restricting the improvement of wind power penetration and utilization rate. Enabling wind farms to have frequency regulation characteristics is an urgent problem to be solved to improve the stability and economic benefits of the power grid. The existing technologies mainly adopt the following methods to solve this problem: the first is to control the long-term load reduction operation of wind turbines and realize primary frequency regulation by reserving spare power. This solution is too expensive; the second is to control the rotor speed of the wind turbine to achieve short-term power regulation, but the rotor speed is affected by the wind speed, the adjustable range is relatively low, and the acceleration process after discharge may cause a secondary drop in frequency; the third is to configure an energy storage system and control the orderly charging and discharging of energy storage and wind turbine rotor kinetic energy to smooth out the fluctuation of power grid frequency, but the frequent charging and discharging of energy storage in primary frequency regulation may cause problems such as overcharging and over-discharging of energy storage.
[0003] Therefore, there is an urgent need for a primary frequency regulation control method based on wind-storage collaboration to improve the frequency response characteristics of the wind-storage system. Summary of the invention
[0004] In view of this, the present application provides a primary frequency regulation control method, device and electronic equipment based on wind-storage collaboration, the main purpose of which is to solve the current problems of high primary frequency regulation cost and unstable primary frequency regulation of energy storage.
[0005] In order to solve the above problems, the present application provides a primary frequency regulation control method based on wind-storage collaboration, comprising:
[0006] In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system;
[0007] Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0008] Calculating and processing based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the target wind-storage system;
[0009] Calculation is performed based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structural parameter to obtain the output power;
[0010] Based on the power change and the output power, the target wind-storage system is subjected to primary frequency regulation control by adopting the wind-storage coordinated primary frequency regulation dynamic control method.
[0011] Optionally, in response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, determining a wind-storage coordinated primary frequency regulation dynamic control mode based on the wind speed parameter and the energy storage remaining capacity parameter specifically includes:
[0012] When the grid-side frequency is greater than a first boundary frequency threshold of a primary frequency regulation control dead zone of the target wind-storage system, determining a first target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter;
[0013] Determine a first object to be regulated and a state change mode corresponding to the first object to be regulated based on the first target operating condition, so as to determine a dynamic control mode of the wind-storage coordinated primary frequency regulation;
[0014] When the grid-side frequency is less than a second boundary frequency threshold of a primary frequency regulation control dead zone of the target wind-storage system, determining a second target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter;
[0015] Determine the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode;
[0016] Among them, the objects to be regulated include average pitch angle parameters and rotor speed parameters.
[0017] Optionally, determining the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition to determine the wind-storage coordinated primary frequency regulation dynamic control mode specifically includes:
[0018] When the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling to increase the average pitch angle parameter is determined as the wind-storage coordinated primary frequency modulation dynamic control mode;
[0019] When the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency modulation dynamic control mode;
[0020] When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling the rotor speed to increase is determined as the wind-storage coordinated primary frequency modulation dynamic control mode;
[0021] When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency modulation dynamic control mode.
[0022] Optionally, determining the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition to determine the wind-storage coordinated primary frequency regulation dynamic control mode specifically includes:
[0023] When the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, the rotor speed controlled by the first regulation priority is reduced and the average pitch angle controlled by the second regulation priority is reduced to determine the wind-storage coordinated primary frequency regulation dynamic control mode;
[0024] When the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, the rotor speed control of the first regulation priority is reduced, and the average pitch angle control parameter of the second regulation priority is reduced to determine the wind-storage coordinated primary frequency regulation dynamic control mode;
[0025] When the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling the energy storage system to discharge and controlling the rotor to decelerate is determined as the wind-storage coordinated primary frequency modulation dynamic control mode;
[0026] When the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the rotor deceleration is determined as the wind-storage coordinated primary frequency modulation dynamic control mode.
[0027] Optionally, the control parameter matching is performed using a preset fuzzy control method based on the wind speed parameter and the energy storage remaining capacity parameter to obtain a virtual droop coefficient and a virtual inertia coefficient, specifically including:
[0028] Based on the wind speed parameter, a wind speed membership function is used to perform fuzzy mapping to obtain a wind speed fuzzy subset corresponding to the wind speed parameter;
[0029] Based on the energy storage remaining capacity parameter, a fuzzy mapping is performed using an energy storage remaining capacity membership function to obtain an energy storage remaining capacity fuzzy subset corresponding to the energy storage remaining capacity parameter;
[0030] Based on the wind speed fuzzy subset and the energy storage remaining capacity fuzzy subset, query the virtual inertia coefficient fuzzy control rule table and the virtual droop coefficient fuzzy control rule table to obtain the virtual inertia coefficient fuzzy control subset and the virtual droop coefficient fuzzy control subset;
[0031] Based on the virtual inertia coefficient fuzzy control subset, a virtual inertia coefficient membership function is used to perform calculation processing to obtain a virtual inertia coefficient;
[0032] Based on the virtual droop coefficient fuzzy control subset, a virtual droop coefficient membership function is used to perform calculation processing to obtain a virtual droop coefficient.
[0033] Optionally, the calculation is performed based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind-storage system, and the mathematical expression of the power change is:
[0034]
[0035] Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the change in grid frequency.
[0036] Optionally, the output power is obtained by performing calculation based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter, and the calculation formula of the output power is:
[0037] P m =0.5ρAv 3 C p (λ,β)
[0038] Among them, C p Expressed as: C p =0.5176(116 / γ-0.4β-5)e -21 / γ +0.0068λ; γ is an intermediate variable, expressed as: λ is the tip speed ratio, expressed as: ρ is air density; R is the radius of the wind wheel; v is wind speed; C p is the wind energy utilization coefficient, C p is a function of the tip speed ratio λ and the average pitch angle parameter β, and ω is the rotor speed.
[0039] In order to solve the above problems, the present application provides a primary frequency regulation control device based on wind-storage collaboration, comprising:
[0040] A determination module, configured to determine a wind-storage coordinated primary frequency regulation dynamic control mode based on a wind speed parameter and an energy storage remaining capacity parameter of the target wind-storage system in response to the grid-side frequency deviating from a predetermined range interval of a primary frequency regulation control dead zone of the target wind-storage system;
[0041] A matching module, used for matching control parameters by using a preset fuzzy control method based on the wind speed parameter and the energy storage remaining capacity parameter to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0042] A first calculation module, configured to perform calculation based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the wind storage system;
[0043] A second calculation module is used to perform calculation processing based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0044] The frequency modulation control module is used to perform primary frequency modulation control on the target wind-storage system based on the power change and the output power by adopting the wind-storage coordinated primary frequency modulation dynamic control method.
[0045] In order to solve the above problem, the present application provides a storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned primary frequency modulation control method based on wind-storage collaboration are implemented.
[0046] In order to solve the above problems, the present application provides an electronic device, which at least includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned primary frequency modulation control method based on wind-storage collaboration when executing the computer program on the memory.
[0047] Beneficial effects of the present application: In view of the current problems of poor frequency response characteristics of wind farms and difficulty in coordinating energy storage with wind power, the present application proposes a primary frequency regulation control method that takes into account wind-storage synergy. The method can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working status of the wind-storage system and external wind speed conditions, thereby solving the problem that the primary frequency regulation constant parameter control of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improving the frequency stability of high-proportion wind power systems and avoiding the problems of overcharging and over-discharging of energy storage systems, which is of great significance to the improvement of the quality of wind power generation.
[0048] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0050] Figure 1 A flow chart of a primary frequency modulation control method based on wind-storage collaboration provided in an embodiment of the present application is shown;
[0051] Figure 2 A schematic flow chart of a primary frequency modulation control method based on wind-storage collaboration provided by another embodiment of the present application is shown;
[0052] Figure 3 A schematic diagram of wind farm topology provided in an embodiment of the present application is shown;
[0053] Figure 4 A schematic diagram of a wind speed membership function provided in an embodiment of the present application is shown;
[0054] Figure 5 A schematic diagram of the membership function of the remaining energy storage capacity provided in an embodiment of the present application is shown;
[0055] Figure 6 A schematic diagram of a virtual inertia coefficient membership function provided in an embodiment of the present application is shown;
[0056] Figure 7 A schematic diagram of a virtual droop coefficient membership function provided in an embodiment of the present application is shown;
[0057] Figure 8 A schematic diagram of the fuzzy control result of the primary frequency modulation inertia coefficient of the wind-storage system provided in an embodiment of the present application is shown;
[0058] Fig. 9 A schematic diagram of the fuzzy control result of the primary frequency modulation droop coefficient of the wind-storage system provided in the embodiment of the present application is shown;
[0059] Fig.10 A schematic diagram showing the relationship between the wind energy utilization coefficient of the wind turbine according to the embodiment of the present application and the pitch angle and the rotor speed;
[0060] Fig.11 A schematic diagram of a primary frequency modulation simulation frequency of a wind-storage system according to an embodiment of the present application is shown;
[0061] Fig.12 A schematic diagram of primary frequency modulation simulation energy storage power of a wind-storage system according to an embodiment of the present application is shown;
[0062] Fig.13A structural block diagram of a primary frequency regulation control device based on wind-storage collaboration provided by another embodiment of the present application is shown. DETAILED DESCRIPTION
[0063] Various aspects and features of the present application are described herein with reference to the accompanying drawings.
[0064] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the present application will occur to those skilled in the art.
[0065] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.
[0066] These and other characteristics of the present application will become apparent from the following description of a preferred form of embodiment given as a non-limiting example with reference to the accompanying drawings.
[0067] It should also be understood that although the present application has been described with reference to some specific examples, those skilled in the art will be able to readily implement many other equivalent forms of the present application.
[0068] The above and other aspects, features and advantages of the present application will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.
[0069] Specific embodiments of the present application are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments applied for are merely examples of the present application, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that obscure the present application. Therefore, the specific structural and functional details applied for herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present application in a variety of ways with substantially any suitable detailed structure.
[0070] This specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," all of which may refer to one or more of the same or different embodiments according to the present application.
[0071] The present application embodiment provides a primary frequency modulation control method based on wind-storage collaboration, such as Figure 1 As shown, including:
[0072] Step S101: In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system;
[0073] In the specific implementation of this step, the grid frequency is generally 50Hz, but if the power generated on the grid is higher than the power consumed, the grid has excess power, and the grid frequency will rise; if the power generated on the grid is lower than the power consumed, the grid has insufficient power, and the grid frequency will drop, so the grid frequency fluctuates. In order to maintain the stability of the grid frequency, when the power plant recognizes that the grid frequency deviates from the primary frequency regulation control dead zone, the wind farm needs to spontaneously increase or decrease the output power in a short period of time. This operation is the primary frequency regulation of the power plant. There are two situations in which the grid-side frequency deviates from the predetermined range of the primary frequency regulation control dead zone of the target wind-storage system; the grid-side frequency is greater than the first boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system or the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system; the first boundary frequency threshold can be 50+0.05HZ, and the second boundary frequency threshold can be 50-0.05HZ; when the grid-side frequency is greater than the first boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, the first target of the target energy storage system is determined based on the wind speed parameter and the energy storage remaining capacity parameter. operating condition; based on the first target operating condition, determine the first object to be regulated and the state change mode corresponding to the first object to be regulated, so as to determine the dynamic control mode of the wind-storage coordinated primary frequency regulation; when the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determine the second target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter; based on the second target operating condition, determine the second object to be regulated and the state change mode corresponding to the second object to be regulated, so as to determine the dynamic control mode of the wind-storage coordinated primary frequency regulation; wherein, the objects to be regulated include average pitch angle parameters and rotor speed parameters.
[0074] Step S102: Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0075] In the specific implementation process of this step, based on the wind speed parameter, a wind speed membership function is used to perform fuzzy mapping to obtain a wind speed fuzzy subset corresponding to the wind speed parameter; based on the energy storage remaining capacity parameter, an energy storage remaining capacity membership function is used to perform fuzzy mapping to obtain a fuzzy subset of energy storage remaining capacity corresponding to the energy storage remaining capacity parameter; based on the wind speed fuzzy subset and the energy storage remaining capacity fuzzy subset, a virtual inertia coefficient fuzzy control rule table and a virtual droop coefficient fuzzy control rule table are queried to obtain a virtual inertia coefficient fuzzy control subset and a virtual droop coefficient fuzzy control subset; based on the virtual inertia coefficient fuzzy control subset, a virtual inertia coefficient membership function is used to perform calculation processing to obtain a virtual inertia coefficient; based on the virtual droop coefficient fuzzy control subset, a virtual droop coefficient membership function is used to perform calculation processing to obtain a virtual droop coefficient.
[0076] Step S103: performing calculation based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the target wind-storage system;
[0077] In the specific implementation process of this step, the calculation process is performed based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind-storage system. The mathematical expression of the power change can be expressed as follows:
[0078]
[0079] Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the change in grid frequency.
[0080] Step S104: performing calculation processing based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0081] In the specific implementation process of this step, the calculation formula of the output power can be expressed as the following formula (2):
[0082] P m =0.5ρAv 3 C p (λ,β)(2)
[0083] Among them, C p Expressed as: C p =0.5176(116 / γ-0.4β-5)e -21 / γ +0.0068λ; γ is an intermediate variable, expressed as: λ is the tip speed ratio, expressed as: ρ is air density; R is the radius of the wind wheel; v is wind speed; C p is the wind energy utilization coefficient, C p is a function of the tip speed ratio λ and the average pitch angle parameter β, and ω is the rotor speed.
[0084] Step S105: Based on the power variation and the output power, the target wind-storage system is subjected to primary frequency regulation control by adopting the wind-storage coordinated primary frequency regulation dynamic control method.
[0085] During the specific implementation of this step, an addition operation is performed based on the power change and the output power to obtain the total control power; based on the total control power, the target wind-storage system is subjected to primary frequency modulation control using the wind-storage coordinated primary frequency modulation dynamic control method to adjust the output characteristics of the active power.
[0086] In response to the current problems of poor frequency response characteristics of wind farms and difficulty in coordinating energy storage and wind power, this application proposes a primary frequency regulation control method that takes into account wind-storage synergy. The method can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working status of the wind-storage system and external wind speed conditions, solve the problem that the primary frequency regulation constant parameter control of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improve the frequency stability of high-proportion wind power systems and avoid the problems of overcharging and over-discharging of energy storage systems, which is of great significance to the improvement of the quality of wind power generation.
[0087] Another embodiment of the present application provides another primary frequency modulation control method for wind-storage collaboration, such as Figure 2 As shown, including:
[0088] Step S201: when the grid-side frequency is greater than the first boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determining the first target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter;
[0089] In the specific implementation process of this step, the wind farm topology configured with energy storage is as follows Figure 3As shown, the first boundary frequency threshold can be 50.05HZ; the first boundary frequency threshold can be set according to actual needs, and the operating conditions of the target energy storage system include: the operating conditions where the wind speed is higher than the rated wind speed and the remaining capacity of the energy storage system is high, the operating conditions where the wind speed is higher than the rated wind speed and the remaining capacity of the energy storage system is low, the operating conditions where the wind speed is lower than the rated wind speed and the remaining capacity of the energy storage system is high, the operating conditions where the wind speed is lower than the rated wind speed and the remaining capacity of the energy storage system is low, and the wind farm output power is lower than 20% of the rated power. Specifically, the situation where the remaining capacity of the energy storage system is sufficient to discharge at 10% of the rated capacity for 100 seconds is determined as the operating condition where the remaining capacity of the energy storage system is high; the situation where the remaining capacity of the energy storage system is insufficient to discharge at 10% of the rated capacity for 100 seconds is determined as the operating condition where the remaining capacity of the energy storage system is low. The first target operating condition of the target energy storage system is determined based on the wind speed parameter and the remaining capacity parameter of the energy storage system, and the first target operating condition is any one of the five operating conditions of the target energy storage system.
[0090] Step S202: determining a first object to be regulated and a state change mode corresponding to the first object to be regulated based on the first target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode;
[0091] During the specific implementation of this step, when the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, the control to increase the average pitch angle parameter is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; the first preset condition is that the energy storage remaining capacity is sufficient to discharge at 10% of the rated capacity for 100 seconds, then the first control object is the average pitch angle parameter, and the state change mode corresponding to the first object to be controlled is to increase the average pitch angle parameter. By controlling to increase the average pitch angle parameter, the output power of the wind-storage system can be reduced to achieve the purpose of primary frequency regulation. When the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, the control of the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; the wind turbine is controlled to charge the energy storage system to reduce the output power of the wind-storage system. When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, the rotor speed is controlled to increase as the wind-storage coordinated primary frequency regulation dynamic control mode to reduce the output power of the wind-storage system. When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, the wind turbine is controlled to charge the energy storage system as the wind-storage coordinated primary frequency regulation dynamic control mode to reduce the output power of the wind-storage system; when the wind farm output power is lower than 20% of the rated power, the primary frequency regulation work is exited. The objects to be regulated include the average pitch angle parameter and the rotor speed parameter.
[0092] Step S203: when the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determining the second target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter;
[0093] In the specific implementation of this step, the second boundary frequency threshold can be 49.95HZ; the second boundary frequency threshold can be set according to actual needs, and the operating conditions of the target energy storage system include: the wind speed is higher than the rated wind speed and the remaining capacity of the energy storage system is high, the wind speed is higher than the rated wind speed and the remaining capacity of the energy storage system is low, the wind speed is lower than the rated wind speed and the remaining capacity of the energy storage system is high, the wind speed is lower than the rated wind speed and the remaining capacity of the energy storage system is low, and the wind farm output power is lower than 20% of the rated power. Specifically, the situation where the remaining capacity of the energy storage system is sufficient to discharge at 10% of the rated capacity for 100 seconds is determined as the operating condition where the remaining capacity of the energy storage system is high; the situation where the remaining capacity of the energy storage system is not enough to discharge at 10% of the rated capacity for 100 seconds is determined as the operating condition where the remaining capacity of the energy storage system is low. The second target operating condition of the target energy storage system is determined based on the wind speed parameter and the remaining capacity parameter of the energy storage system, and the second target operating condition is any one of the five operating conditions of the target energy storage system.
[0094] Step S204: determining a second object to be regulated and a state change mode corresponding to the second object to be regulated based on the second target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode;
[0095] In the specific implementation process of this step, when the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, the rotor speed control of the first control priority is reduced and the average pitch angle control parameter of the second control priority is reduced as the wind-storage coordinated primary frequency modulation dynamic control mode; when the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, the rotor speed control of the first control priority is reduced and the average pitch angle control parameter of the second control priority is reduced as the wind-storage coordinated primary frequency modulation dynamic control mode; when the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, the energy storage system is controlled to discharge and the rotor is controlled to decelerate as the wind-storage coordinated primary frequency modulation dynamic control mode; when the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, the rotor is controlled to decelerate as the wind-storage coordinated primary frequency modulation dynamic control mode. When the output power of the wind farm is less than 20% of the rated power, the primary frequency modulation work is exited.
[0096] Step S205: Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0097] In the specific implementation process of this step, based on the wind speed parameter, a wind speed membership function is used to perform fuzzy mapping to obtain a wind speed fuzzy subset corresponding to the wind speed parameter; based on the energy storage remaining capacity parameter, an energy storage remaining capacity membership function is used to perform fuzzy mapping to obtain a fuzzy subset of energy storage remaining capacity corresponding to the energy storage remaining capacity parameter; based on the wind speed fuzzy subset and the energy storage remaining capacity fuzzy subset, a virtual inertia coefficient fuzzy control rule table and a virtual droop coefficient fuzzy control rule table are queried to obtain a virtual inertia coefficient fuzzy control subset and a virtual droop coefficient fuzzy control subset; based on the virtual inertia coefficient fuzzy control subset, a virtual inertia coefficient membership function is used to perform calculation processing to obtain a virtual inertia coefficient; based on the virtual droop coefficient fuzzy control subset, a virtual droop coefficient membership function is used to perform calculation processing to obtain a virtual droop coefficient. Specifically, the fuzzy set of wind speed is {FL, FM, FS, F0, ZS, ZM, ZL}, which represent wind speeds of negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. The continuous domain is [3,15], where wind speeds exceeding 15 m / s are calculated as 15 m / s. The fuzzy set of energy storage remaining capacity is {NL, NM, NS, Z0, PS, PM, PL}, which represent energy storage remaining capacity of extremely small, very small, slightly small, medium, slightly large, very large, and extremely large, respectively. The continuous domain is [0.1, 0.9]. The output variables of the fuzzy control system, the virtual inertia coefficient fuzzy set is {VL, SL, M, SH, VH}, which respectively represent the virtual inertia coefficients are very small, slightly small, medium, slightly large, and very large, and the continuous domain is [10, 30]; the virtual droop coefficient fuzzy set is {KL, JL, N, JH, KH}, which respectively represent the virtual droop coefficients are very small, slightly small, medium, slightly large, and very large, and the continuous domain is [50, 150]. The membership functions of the input variables and output variables are as follows: Figure 4 , Figure 5 , Figure 6 , Figure 7 The virtual inertia coefficient fuzzy control rules are shown in Table 1:
[0098] Table 1 Virtual inertia coefficient fuzzy control rules table
[0099]
[0100] The virtual droop coefficient fuzzy control rule table is shown in Table 2:
[0101] Table 2 Virtual droop coefficient fuzzy control rules table
[0102]
[0103] According to the above input and output variable membership functions and fuzzy control rule table, we can get: Figure 8 , Fig. 9 Results of fuzzy control of primary frequency modulation parameters of wind-storage system. The real-time wind speed and remaining energy storage capacity are used as the input of the fuzzy control system and mapped to the fuzzy set through the membership function. The fuzzy control rules of primary frequency modulation parameters are established according to the adjustable power and capacity of the wind-storage system at the current moment. Fuzzy reasoning is performed based on the fuzzy rules and fuzzified input parameters to obtain fuzzy output. The area center method is used to convert the fuzzy output into a specific virtual droop coefficient and virtual inertia coefficient.
[0104] Step S206: performing calculation based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the target wind-storage system;
[0105] In the specific implementation process of this step, the mathematical expression of the power change is:
[0106]
[0107] Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the frequency variation of the power grid. The primary frequency regulation output characteristics of the wind-storage system are mainly controlled by the virtual inertia coefficient and the virtual droop coefficient.
[0108] Step S207: performing calculation processing based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0109] In the specific implementation process of this step, the mathematical formula for calculating the output power is:
[0110] P m =0.5ρAv 3 C p (λ,β)
[0111] Among them, C p Expressed as: C p =0.5176(116 / γ-0.4β-5)e -21 / γ +0.0068λ; γ is an intermediate variable, expressed as: λ is the tip speed ratio, expressed as: ρ is air density; R is the radius of the wind wheel; v is wind speed; C p is the wind energy utilization coefficient, C pis a function of the tip speed ratio λ and the average pitch angle parameter β, and ω is the rotor speed. The frequency domain response of the wind turbine is essentially the system's automatic adjustment of the output active power according to the change of the large power grid frequency. The output active power of the wind turbine is mainly related to the wind speed, rotor speed, pitch angle and other conditions. The output power of the wind turbine can be controlled by controlling the rotor speed or pitch angle of the wind turbine. The relationship between the wind energy utilization coefficient of the wind turbine and the pitch angle and rotor speed is as follows: Fig.10 As shown in the figure, under certain wind speed conditions, there is a unique set of rotor speed and pitch angle that maximizes the wind turbine output power, namely the maximum power point tracking mode (MPPT). When the wind speed is less than the rated wind speed, the wind turbine usually operates in the MPPT mode; when the wind speed is greater than the rated wind speed, the wind turbine usually increases the pitch angle to control the wind turbine to output a stable rated power. In addition, the wind turbine can also release the rotational kinetic energy stored in the rotor to quickly and briefly increase the output power. The mathematical expression of the released rotor kinetic energy can be expressed as follows:
[0112]
[0113] Where, ΔE k is the rotor kinetic energy released by the fan, J is the rotational inertia of the fan, ω0 and ω1 are the angular velocities of the rotor in the initial and final states respectively.
[0114] The mathematical expression of the fan's moment of inertia J can be expressed as follows:
[0115]
[0116] Where: H is the inertia time constant of the fan; P N is the rated power of the fan; N is the rated angular velocity of the wind wheel. The wind turbine rotor speed is positively correlated with the wind speed.
[0117] Step S208: Based on the power change and the output power, the target wind-storage system is subjected to primary frequency regulation control by adopting the wind-storage coordinated primary frequency regulation dynamic control method.
[0118] During the specific implementation of this step, an addition operation is performed based on the power change and the output power to obtain the total control power; based on the total control power, the target wind-storage system is subjected to primary frequency modulation control using the wind-storage coordinated primary frequency modulation dynamic control method to adjust the output characteristics of the active power.
[0119] The present application determines the first target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter when the grid-side frequency is greater than the first boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system; determines the first object to be regulated and the state change mode corresponding to the first object to be regulated based on the first target operating condition to determine the wind-storage coordinated primary frequency regulation dynamic control mode; determines the second target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter when the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system; determines the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition The state change mode corresponding to the object to be regulated is used to determine the dynamic control mode of the wind-storage coordinated primary frequency regulation; based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match the control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient; based on the virtual droop coefficient and the virtual inertia coefficient, calculation and processing are performed to obtain the power change of the target wind-storage system; based on the wind speed parameter, the average pitch angle parameter of the target wind-storage system, the rotor speed and the predetermined wind turbine structure parameters, calculation and processing are performed to obtain the output power; based on the power change and the output power, the wind-storage coordinated primary frequency regulation dynamic control mode is used to perform primary frequency regulation control on the target wind-storage system. The present application can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working state of the wind-storage system and the external wind speed conditions, solve the problem that the constant parameter control of the primary frequency regulation of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improve the frequency stability of the high-proportion wind power system and avoid the problem of overcharging and over-discharging of the energy storage system, which is of great significance to the improvement of the quality of wind power generation.
[0120] The implementation process of this application is described below in conjunction with specific application scenarios:
[0121] Taking a certain wind farm as an example, the simulation curves of the grid frequency and energy storage power of the wind-storage primary frequency regulation under the strategy of this application and the constant parameter strategy are compared and analyzed to verify the effectiveness of the primary frequency regulation control method considering wind-storage coordination proposed in this application. The grid frequency and energy storage system power of the wind-storage primary frequency regulation parameters under the strategy of this application and the constant parameter strategy are shown in Figure 1. Fig.11 , Fig.12 shown. Fig.11 It shows that under the conditions of high wind speed or high remaining energy storage capacity, the frequency steady-state deviation of the wind-storage system after primary frequency regulation under the strategy of this application is smaller and the lowest frequency point is higher; under the conditions of low wind speed and low remaining energy storage capacity, the wind-storage system under the strategy of this application reduces the power support to ensure the safe and stable operation of the system, but still retains the primary frequency regulation capability. The primary frequency regulation control method considering wind-storage synergy described in this application can make the frequency stability of high-proportion wind power systems better. Fig.12Display: Under the condition of high wind speed, the output power of the energy storage system is lower. Under the condition of too low energy storage capacity, the energy storage output power is always 0, which effectively avoids the problem of over-discharge of energy storage. Under the condition of low wind speed and high energy storage capacity, the energy storage output power is higher, which effectively avoids the problem of wind turbine rotor stall. Fig.11 and Fig.12 Together, they verified the effectiveness and correctness of the primary frequency regulation control method considering wind-storage synergy proposed in this application.
[0122] Another embodiment of the present application provides a primary frequency regulation control device based on wind-storage collaboration, such as Fig.13 As shown, including:
[0123] Determination module 1, for determining a wind-storage coordinated primary frequency regulation dynamic control mode based on a wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system in response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system;
[0124] A matching module 2, configured to perform control parameter matching based on the wind speed parameter and the energy storage remaining capacity parameter by using a preset fuzzy control method to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0125] A first calculation module 3, used for performing calculation processing based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the wind storage system;
[0126] A second calculation module 4 is used to calculate and process based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0127] The frequency modulation control module 5 is used to perform primary frequency modulation control on the target wind-storage system based on the power variation and the output power by adopting the wind-storage coordinated primary frequency modulation dynamic control method.
[0128] In the specific implementation process, the determination module 1 is specifically used for: when the grid-side frequency is greater than the first boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determining the first target operating condition of the target energy storage system based on the wind speed parameter and the remaining energy storage capacity parameter; determining the first object to be regulated and the state change mode corresponding to the first object to be regulated based on the first target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode; when the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determining the second target operating condition of the target energy storage system based on the wind speed parameter and the remaining energy storage capacity parameter; determining the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode; wherein, the objects to be regulated include average pitch angle parameters and rotor speed parameters.
[0129] In the specific implementation process, the determination module 1 is also used for: when the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, the control of increasing the average pitch angle parameter is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; when the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, the control of the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; when the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, the control of the rotor speed to increase is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; when the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, the control of the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency regulation dynamic control mode.
[0130] In the specific implementation process, the determination module 1 is also used for: when the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, the rotor speed control of the first control priority is reduced and the average pitch angle control parameter of the second control priority is reduced to determine it as the wind-storage coordinated primary frequency regulation dynamic control mode; when the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, the rotor speed control of the first control priority is reduced and the average pitch angle control parameter of the second control priority is reduced to determine it as the wind-storage coordinated primary frequency regulation dynamic control mode; when the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter meets the first preset condition, controlling the energy storage system to discharge and controlling the rotor to slow down is determined as the wind-storage coordinated primary frequency regulation dynamic control mode; when the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the remaining energy storage capacity parameter does not meet the first preset condition, controlling the rotor to slow down is determined as the wind-storage coordinated primary frequency regulation dynamic control mode.
[0131] In the specific implementation process, the matching module 2 is specifically used for: performing fuzzy mapping based on the wind speed parameter using the wind speed membership function to obtain a wind speed fuzzy subset corresponding to the wind speed parameter; performing fuzzy mapping based on the energy storage remaining capacity parameter using the energy storage remaining capacity membership function to obtain a fuzzy subset of energy storage remaining capacity corresponding to the energy storage remaining capacity parameter; querying a virtual inertia coefficient fuzzy control rule table and a virtual droop coefficient fuzzy control rule table based on the wind speed fuzzy subset and the energy storage remaining capacity fuzzy subset to obtain a virtual inertia coefficient fuzzy control subset and a virtual droop coefficient fuzzy control subset; performing calculation processing based on the virtual inertia coefficient fuzzy control subset using the virtual inertia coefficient membership function to obtain a virtual inertia coefficient; performing calculation processing based on the virtual droop coefficient fuzzy control subset using the virtual droop coefficient membership function to obtain a virtual droop coefficient.
[0132] In the specific implementation process, the first calculation module 3 is specifically used to: perform calculation processing based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind storage system. The mathematical expression of the power change is:
[0133]
[0134] Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the change in grid frequency.
[0135] In the specific implementation process, the second calculation module 4 is specifically used to: perform calculation processing based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind storage system. The mathematical expression of the power change is:
[0136]
[0137] Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the change in grid frequency.
[0138] In response to the current problems of poor frequency response characteristics of wind farms and difficulty in coordinating energy storage and wind power, this application proposes a primary frequency regulation control method that takes into account wind-storage synergy. The method can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working status of the wind-storage system and external wind speed conditions, solve the problem that the primary frequency regulation constant parameter control of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improve the frequency stability of high-proportion wind power systems and avoid the problems of overcharging and over-discharging of energy storage systems, which is of great significance to the improvement of the quality of wind power generation.
[0139] Another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the following method steps are implemented:
[0140] Step 1: In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system;
[0141] Step 2: Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0142] Step 3: Calculate and process based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind-storage system;
[0143] Step 4: Calculate and process based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0144] Step 5: Based on the power change and the output power, the target wind-storage system is subjected to primary frequency regulation control using the wind-storage coordinated primary frequency regulation dynamic control method.
[0145] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0146] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0147] The specific implementation process of the above method steps can refer to any of the above-mentioned embodiments of the primary frequency regulation control method based on wind-storage collaboration, and this embodiment will not be repeated here.
[0148] In response to the current problems of poor frequency response characteristics of wind farms and difficulty in coordinating energy storage and wind power, this application proposes a primary frequency regulation control method that takes into account wind-storage synergy. The method can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working status of the wind-storage system and external wind speed conditions, solve the problem that the primary frequency regulation constant parameter control of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improve the frequency stability of high-proportion wind power systems and avoid the problems of overcharging and over-discharging of energy storage systems, which is of great significance to the improvement of the quality of wind power generation.
[0149] Another embodiment of the present application provides an electronic device, which may be a server, and the electronic device includes a processor, a memory, a network interface, and a database connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external client via a network connection. When the electronic device program is executed by the processor, it implements the functions or steps of the server side of a primary frequency modulation control method based on wind-storage collaboration.
[0150] In one embodiment, an electronic device is provided, which may be a client. The electronic device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external server via a network connection. When the electronic device program is executed by the processor, the functions or steps on the client side of a primary frequency modulation control method based on wind-storage collaboration are implemented.
[0151] Another embodiment of the present application provides an electronic device, comprising at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the following method steps when executing the computer program in the memory:
[0152] Step 1: In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system;
[0153] Step 2: Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient;
[0154] Step 3: Calculate and process based on the virtual droop coefficient and the virtual inertia coefficient to obtain the power change of the target wind-storage system;
[0155] Step 4: Calculate and process based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power;
[0156] Step 5: Based on the power change and the output power, the target wind-storage system is subjected to primary frequency regulation control using the wind-storage coordinated primary frequency regulation dynamic control method.
[0157] The specific implementation process of the above method steps can refer to any of the above-mentioned embodiments of the primary frequency regulation control method based on wind-storage collaboration, and this embodiment will not be repeated here.
[0158] In response to the current problems of poor frequency response characteristics of wind farms and difficulty in coordinating energy storage and wind power, this application proposes a primary frequency regulation control method that takes into account wind-storage synergy. The method can control the control logic and primary frequency regulation parameters of the wind-storage system in real time according to the working status of the wind-storage system and external wind speed conditions, solve the problem that the primary frequency regulation constant parameter control of the wind-storage system cannot effectively adapt to a variety of working conditions, effectively improve the frequency stability of high-proportion wind power systems and avoid the problems of overcharging and over-discharging of energy storage systems, which is of great significance to the improvement of the quality of wind power generation.
[0159] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.
Claims
1. A primary frequency modulation control method based on wind-storage collaboration, characterized in that: include: In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and energy storage remaining capacity parameter of the target wind-storage system; Based on the wind speed parameter and the energy storage remaining capacity parameter, a preset fuzzy control method is used to match control parameters to obtain a virtual droop coefficient and a virtual inertia coefficient; Calculating and processing based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the target wind-storage system; Calculation is performed based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structural parameter to obtain the output power; Based on the power change and the output power, the target wind-storage system is subjected to primary frequency regulation control by adopting the wind-storage coordinated primary frequency regulation dynamic control method.
2. The method according to claim 1, characterized in that In response to the grid-side frequency deviating from a predetermined range interval of the primary frequency regulation control dead zone of the target wind-storage system, a wind-storage coordinated primary frequency regulation dynamic control mode is determined based on the wind speed parameter and the energy storage remaining capacity parameter, specifically including: When the grid-side frequency is greater than a first boundary frequency threshold of a primary frequency regulation control dead zone of the target wind-storage system, determining a first target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter; Determine a first object to be regulated and a state change mode corresponding to the first object to be regulated based on the first target operating condition, so as to determine a dynamic control mode of the wind-storage coordinated primary frequency regulation; When the grid-side frequency is less than the second boundary frequency threshold of the primary frequency regulation control dead zone of the target wind-storage system, determining the second target operating condition of the target energy storage system based on the wind speed parameter and the energy storage remaining capacity parameter; Determine the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition, so as to determine the wind-storage coordinated primary frequency regulation dynamic control mode; Among them, the objects to be regulated include average pitch angle parameters and rotor speed parameters.
3. The method according to claim 2, characterized in that The determining of the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition to determine the wind-storage coordinated primary frequency regulation dynamic control mode specifically includes: When the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling to increase the average pitch angle parameter is determined as the wind-storage coordinated primary frequency modulation dynamic control mode; When the first target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency modulation dynamic control mode; When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling the rotor speed to increase is determined as the wind-storage coordinated primary frequency modulation dynamic control mode; When the first target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the wind turbine to charge the energy storage system is determined as the wind-storage coordinated primary frequency modulation dynamic control mode.
4. The method according to claim 2, characterized in that The determining of the second object to be regulated and the state change mode corresponding to the second object to be regulated based on the second target operating condition to determine the wind-storage coordinated primary frequency regulation dynamic control mode specifically includes: When the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, the rotor speed controlled by the first regulation priority is reduced and the average pitch angle controlled by the second regulation priority is reduced to determine the wind-storage coordinated primary frequency regulation dynamic control mode; When the second target operating condition is that the wind speed parameter is greater than the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, the rotor speed control of the first regulation priority is reduced, and the average pitch angle control parameter of the second regulation priority is reduced to determine the wind-storage coordinated primary frequency regulation dynamic control mode; When the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter meets the first preset condition, controlling the energy storage system to discharge and controlling the rotor to slow down is determined as the wind-storage coordinated primary frequency modulation dynamic control mode; When the second target operating condition is that the wind speed parameter is less than or equal to the rated wind speed and the energy storage remaining capacity parameter does not meet the first preset condition, controlling the rotor deceleration is determined as the wind-storage coordinated primary frequency modulation dynamic control mode.
5. The method according to claim 1, characterized in that The control parameter matching is performed by using a preset fuzzy control method based on the wind speed parameter and the energy storage remaining capacity parameter to obtain a virtual droop coefficient and a virtual inertia coefficient, specifically including: Based on the wind speed parameter, a wind speed membership function is used to perform fuzzy mapping to obtain a wind speed fuzzy subset corresponding to the wind speed parameter; Based on the energy storage remaining capacity parameter, a fuzzy mapping is performed using an energy storage remaining capacity membership function to obtain an energy storage remaining capacity fuzzy subset corresponding to the energy storage remaining capacity parameter; Based on the wind speed fuzzy subset and the energy storage remaining capacity fuzzy subset, query the virtual inertia coefficient fuzzy control rule table and the virtual droop coefficient fuzzy control rule table to obtain the virtual inertia coefficient fuzzy control subset and the virtual droop coefficient fuzzy control subset; Based on the virtual inertia coefficient fuzzy control subset, a virtual inertia coefficient membership function is used to perform calculation processing to obtain a virtual inertia coefficient; Based on the virtual droop coefficient fuzzy control subset, a virtual droop coefficient membership function is used to perform calculation processing to obtain a virtual droop coefficient.
6. The method according to claim 1, characterized in that The power variation of the target wind-storage system is obtained by performing calculation based on the virtual droop coefficient and the virtual inertia coefficient. The mathematical expression of the power variation is: Among them, ΔP w.e K is the power variation of the wind storage system; w.ine is the virtual inertia coefficient; K w.dro is the virtual droop coefficient; Δf is the change in grid frequency.
7. The method according to claim 1, characterized in that The output power is obtained by performing calculation based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter. The calculation formula of the output power is: P m =0.5ρAv 3 C p (l,b) Among them, C p Expressed as: C p =0.5176(116 / γ-0.4β-5)e -21 / γ +0.0068λ; γ is an intermediate variable, expressed as: λ is the tip speed ratio, expressed as: ρ is air density; R is the radius of the wind wheel; v is wind speed; C p is the wind energy utilization coefficient, C p is a function of the tip speed ratio λ and the average pitch angle parameter β, and ω is the rotor speed.
8. A primary frequency modulation control device based on wind and storage coordination, characterized in that: include: A determination module, configured to determine a wind-storage coordinated primary frequency regulation dynamic control mode based on a wind speed parameter and an energy storage remaining capacity parameter of the target wind-storage system in response to the grid-side frequency deviating from a predetermined range interval of a primary frequency regulation control dead zone of the target wind-storage system; A matching module, used to match control parameters using a preset fuzzy control method based on the wind speed parameter and the energy storage remaining capacity parameter to obtain a virtual droop coefficient and a virtual inertia coefficient; A first calculation module, configured to perform calculation based on the virtual droop coefficient and the virtual inertia coefficient to obtain a power change of the wind storage system; A second calculation module is used to perform calculation processing based on the wind speed parameter, the average pitch angle parameter of the target wind storage system, the rotor speed and the predetermined wind turbine structure parameter to obtain the output power; The frequency modulation control module is used to perform primary frequency modulation control on the target wind-storage system based on the power change and the output power by adopting the wind-storage coordinated primary frequency modulation dynamic control method.
9. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the primary frequency regulation control method based on wind-storage collaboration as described in any one of claims 1 to 7 are implemented.
10. An electronic device, characterized in that: The system at least comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the primary frequency regulation control method based on wind-storage collaboration as described in any one of claims 1 to 7 when executing the computer program on the memory.
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