Method and device for acquiring parameters of frequency response controller of wind turbine generator
By adaptively adjusting frequency response controller parameters in wind turbines based on rotational speed, penetration rate, and grid strength, the method enhances system stability during grid frequency regulation.
Patent Information
- Application Number
- CN202411268785.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-11
- Publication Date
- 2024-12-10
AI Technical Summary
Existing methods for manually setting frequency response controller parameters in wind turbines result in poor system stability during grid frequency regulation.
A method and device for obtaining frequency response controller parameters in wind turbines, considering current rotational speed, penetration rate, rated power, and grid strength to adaptively adjust parameters, enhancing stability during frequency regulation.
Improves system stability by dynamically adjusting frequency response controller parameters based on operating conditions, meeting requirements for varying wind turbine speeds, power proportions, and grid strengths.
Smart Images
Figure CN119109085A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of wind power technology, and in particular to a method, device, electronic device and storage medium for obtaining parameters of a frequency response controller of a wind turbine generator set. Background Art
[0002] At present, as the proportion of wind turbines in the power system continues to increase, the power system has begun to put forward requirements for the ability of wind turbines to participate in the frequency regulation of the power grid. When wind turbines are required to participate in the frequency regulation of the power system, additional frequency response controllers are required to support the system frequency. In related technologies, the parameters of the frequency response controller of the wind turbine mostly need to be manually pre-set, and there is a problem of poor system stability when wind turbines participate in the frequency regulation of the power grid. Summary of the invention
[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.
[0004] To this end, the first objective of the present application is to propose a method for obtaining parameters of a frequency response controller of a wind turbine generator system.
[0005] The second objective of the present application is to provide a parameter acquisition device for a frequency response controller of a wind turbine generator set.
[0006] The third objective of the present application is to provide an electronic device.
[0007] A fourth objective of the present application is to provide a computer-readable storage medium.
[0008] A fifth object of the present application is to provide a computer program product.
[0009] To achieve the above-mentioned objectives, the first aspect of the present application proposes a method for obtaining parameters of a frequency response controller of a wind turbine, comprising: obtaining a first target parameter of the frequency response controller of the wind turbine based on a current rotational speed of the wind turbine and a current penetration rate of the wind power system; and obtaining a second target parameter of the frequency response controller based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system.
[0010] To achieve the above-mentioned purpose, the second aspect embodiment of the present application proposes a parameter acquisition device for a frequency response controller of a wind turbine generator set, comprising: a first acquisition module, used to obtain a first target parameter of the frequency response controller of the wind turbine generator set based on the current rotational speed of the wind turbine generator set and the current penetration rate of the wind power system; a second acquisition module, used to obtain a second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
[0011] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect embodiment above.
[0012] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the method described in the first aspect embodiment above.
[0013] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the method described in the first aspect of the present application.
[0014] The parameter acquisition method, device, electronic device and storage medium of the frequency response controller of the wind turbine provided in the present application can comprehensively consider the current rotation speed of the wind turbine and the current penetration rate of the wind power system to obtain the first target parameter of the frequency response controller of the wind turbine, and comprehensively consider the rated power of the wind turbine at the current wind speed, and the current grid strength of the wind power system to obtain the second target parameter of the frequency response controller, that is, based on the operating point of the wind turbine, the parameters of the frequency response controller of the wind turbine can be obtained, and the parameters of the frequency response controller can be adaptively adjusted with the operating point of the wind turbine, which can meet the requirements of frequency support capacity for different wind turbine rotation speeds, different wind power proportions, different wind speeds and different grid strengths when large-scale wind power is connected to the grid, thereby improving the system stability of wind turbines participating in power system frequency regulation.
[0015] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0017] Figure 1 A schematic flow chart of a method for obtaining parameters of a frequency response controller of a wind turbine generator set provided in an embodiment of the present application;
[0018] Figure 2 A schematic diagram of a frequency response controller of a wind turbine generator set provided in an embodiment of the present application;
[0019] Figure 3A schematic flow chart of another method for obtaining parameters of a frequency response controller of a wind turbine generator set provided in an embodiment of the present application;
[0020] Figure 4 A schematic flow chart of another method for obtaining parameters of a frequency response controller of a wind turbine generator set provided in an embodiment of the present application;
[0021] Figure 5 A schematic diagram of the structure of a parameter acquisition device for a frequency response controller of a wind turbine set provided in an embodiment of the present application. DETAILED DESCRIPTION
[0022] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0023] The following describes a parameter acquisition method, device, electronic device, and storage medium for a frequency response controller of a wind turbine generator system according to an embodiment of the present application with reference to the accompanying drawings.
[0024] Figure 1 A schematic flow chart of a method for acquiring parameters of a frequency response controller of a wind turbine set provided in an embodiment of the present application.
[0025] At present, as the proportion of wind turbines in the power system continues to increase, the power system has begun to put forward requirements for the ability of wind turbines to participate in the frequency regulation of the power grid. When wind turbines are required to participate in the frequency regulation of the power system, additional frequency response controllers are required to support the system frequency. In related technologies, the parameters of the frequency response controller of the wind turbine mostly need to be manually pre-set, and there is a problem of poor system stability when wind turbines participate in the frequency regulation of the power grid.
[0026] To address this problem, an embodiment of the present application provides a method for obtaining parameters of a frequency response controller for a wind turbine, which can comprehensively consider the current rotation speed of the wind turbine and the current penetration rate of the wind power system to obtain the first target parameter of the frequency response controller of the wind turbine, and comprehensively consider the rated power of the wind turbine at the current wind speed, and the current grid strength of the wind power system to obtain the second target parameter of the frequency response controller, that is, the parameters of the frequency response controller of the wind turbine can be obtained based on the operating point of the wind turbine. The parameters of the frequency response controller can be adaptively adjusted with the operating point of the wind turbine, and can meet the frequency support capacity requirements for different wind turbine rotation speeds, different wind power proportions, different wind speeds, and different grid strengths when large-scale wind power is connected to the grid, thereby improving the system stability of wind turbines participating in power system frequency regulation. Figure 1 As shown, the method comprises the following steps:
[0027] S101, obtaining a first target parameter of a frequency response controller of the wind turbine generator set based on a current rotation speed of the wind turbine generator set and a current penetration rate of the wind power system.
[0028] It should be noted that the frequency response controller of the wind turbine is used to obtain the additional active power of the wind turbine based on the frequency deviation, that is, the frequency response controller is used for the wind turbine to participate in the frequency regulation of the power system. Among them, the frequency deviation is the difference between the current grid frequency and the reference grid frequency, and the active power finally output by the wind turbine is the sum of the actual active power output by the wind turbine and the additional active power.
[0029] In one embodiment, the method further includes obtaining a frequency deviation of a grid connection point of the wind turbine generator set participating in the grid, inputting the frequency deviation into a frequency response controller, and obtaining the additional active power of the wind turbine generator set. The frequency deviation of the grid connection point of the wind turbine generator set participating in the grid is the difference between the current grid frequency and the reference grid frequency. Thus, the frequency deviation of the grid connection point of the wind turbine generator set participating in the grid can be input into the frequency response controller to obtain the additional active power of the wind turbine generator set.
[0030] It should be noted that there are no excessive limitations on the frequency response controller, for example, it may include a PID (Proportion Integration Differentiation) controller.
[0031] In one embodiment, Figure 2 As shown, the frequency response controller is a PID controller, which includes a proportional control system P, a differential control system D and an integral control system I. The first target parameter is the differential control coefficient K D , the second target parameter is the integral control coefficient K I , the third target parameter is the proportional control coefficient K P , where the proportional control coefficient K P is a preset constant. The input of the PID controller is the frequency deviation Δf, and the output is the additional active power ΔP of the wind turbine. sup . Figure 2 Symbols in For the adder.
[0032] It should be noted that the PR (Penetration Rate) of a wind power system refers to the ratio of the active power output of the wind power system to the active power output of the power system, and is also the ratio of the power generation of the wind power system to the power generation of the power system.
[0033] For example, the process of obtaining the penetration rate PR of a wind turbine is as follows:
[0034]
[0035] Among them, P w,tot is the active power output of the wind power system, P s,tot It is the active power output of the power system.
[0036] In the embodiment of the present application, based on the current rotation speed of the wind turbine and the current penetration rate of the wind power system, the first target parameter of the frequency response controller of the wind turbine is obtained, including the following possible implementation methods:
[0037] Method 1: Obtain a current difference between a current rotation speed of the wind turbine generator set and a minimum rotation speed of the wind turbine generator set, and obtain a first target parameter based on an arithmetic square root of the current difference and a current penetration rate of the wind power system.
[0038] Thus, the current difference between the current rotation speed of the wind turbine generator set and the minimum rotation speed of the wind turbine generator set can be calculated, and the arithmetic square root of the current difference and the current penetration rate of the wind power system are comprehensively considered to obtain the first target parameter.
[0039] In one embodiment, a first target parameter is obtained based on the arithmetic square root of a current difference and a current penetration rate of the wind power system, including obtaining a sample difference between a sample speed of the wind turbine generator set and a minimum speed of the wind turbine generator set, obtaining a third functional relationship between a first sample parameter of a frequency response controller and the arithmetic square root of the sample difference and a sample penetration rate of the wind power system, and obtaining the first target parameter based on the arithmetic square root of the current difference, the current penetration rate of the wind power system and the third functional relationship.
[0040] It should be noted that there are no excessive restrictions on the third functional relationship, for example, it may include a linear function relationship, an inverse proportional function relationship, a quadratic function relationship, an exponential function relationship, a logarithmic function relationship, a power function relationship, etc. The third functional relationship can be obtained by using any function construction method in the relevant technology, and there is no excessive restriction here. Among them, the function construction method may include linear regression, symbolic regression, polynomial regression, random forest regression, decision tree regression, etc., and the symbolic regression method may include a symbolic regression method based on genetic algorithms, evolutionary strategies, particle swarm optimization, etc.
[0041] For example, the third functional relationship refers to a functional relationship with the arithmetic square root of the sample difference and the sample penetration rate of the wind power system as independent variables, and the first sample parameter of the frequency response controller as the dependent variable. Based on the arithmetic square root of the current difference, the current penetration rate of the wind power system and the third functional relationship, the first target parameter is obtained, including substituting the arithmetic square root of the current difference and the current penetration rate of the wind power system as independent variables into the third functional relationship, obtaining the dependent variable of the third functional relationship as the first target parameter.
[0042] Method 2: Obtain a first functional relationship between a first sample parameter of a frequency response controller and a sample speed of the wind turbine generator set and a sample penetration rate of the wind power system, and obtain a first target parameter based on a current speed of the wind turbine generator set, a current penetration rate of the wind power system and the first functional relationship.
[0043] It should be noted that the relevant content of the first functional relationship can refer to the relevant content of the third functional relationship in the above embodiment, which will not be repeated here. The first functional relationship can be obtained by using any function construction method in the relevant technology, which is not limited here.
[0044] For example, the first functional relationship refers to a functional relationship with the sample speed of the wind turbine and the sample penetration rate of the wind power system as independent variables and the first sample parameter of the frequency response controller as the dependent variable. Based on the current speed of the wind turbine, the current penetration rate of the wind power system and the first functional relationship, the first target parameter is obtained, including substituting the current speed of the wind turbine and the current penetration rate of the wind power system as independent variables into the first functional relationship, obtaining the dependent variable of the first functional relationship as the first target parameter.
[0045] Method 3: Obtain a mapping relationship between the candidate speeds of the wind turbine set, the candidate penetration rate of the wind power system, and the first candidate parameter of the frequency response controller of the wind turbine set, and obtain a first candidate parameter having a mapping relationship with both the current speed of the wind turbine set and the current penetration rate of the wind power system as the first target parameter.
[0046] It can be understood that the first candidate parameters of different candidate rotational speed mappings may be different, and the first candidate parameters of different candidate permeability mappings may be different.
[0047] S102, obtaining a second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
[0048] It should be noted that the rated power of wind turbines may be different at different wind speeds. The grid strength of the wind power system can be obtained by using any grid strength acquisition method in the relevant technology, and no further restrictions are made here. For example, the grid strength of the wind power system can be obtained based on the SCR (Short Circuit Ratio) of the wind power system and / or the equivalent impedance of the grid connection point of the wind power system. For example, the SCR of the wind power system can be used as the grid strength of the wind power system.
[0049] For example, the SCR acquisition process of a wind power system is as follows:
[0050]
[0051] Among them, Z wis the equivalent impedance of the wind power system transmission line, S w is the rated power of the wind power system.
[0052] In the embodiment of the present application, based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system, the second target parameter of the frequency response controller is obtained, including the following possible implementation methods:
[0053] Method 1: Obtain a second functional relationship between a second sample parameter of the frequency response controller and the rated power of the wind turbine at a sample wind speed and the sample grid strength of the wind power system, and obtain a second target parameter based on the rated power of the wind turbine at a current wind speed, the current grid strength of the wind power system and the second functional relationship.
[0054] It should be noted that the relevant content of the second functional relationship can refer to the relevant content of the third functional relationship in the above embodiment, which will not be repeated here. The second functional relationship can be obtained by using any function construction method in the relevant technology, which is not limited here.
[0055] For example, the second functional relationship refers to a functional relationship with the rated power of the wind turbine at the sample wind speed and the sample grid strength of the wind power system as independent variables, and the second sample parameter of the frequency response controller as the dependent variable. Based on the rated power of the wind turbine at the current wind speed, the current grid strength of the wind power system and the second functional relationship, the second target parameter is obtained, including substituting the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system as independent variables into the second functional relationship, and obtaining the dependent variable of the second functional relationship as the second target parameter.
[0056] Method 2: Obtain a mapping relationship between the rated power of the wind turbine at a candidate wind speed, the candidate grid strength of the wind power system, and a second candidate parameter of the frequency response controller of the wind turbine; and obtain a second candidate parameter having a mapping relationship with the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system as the second target parameter.
[0057] It is understandable that the second candidate parameters of the rated power mapping of the wind turbine at different candidate wind speeds may be different, and the second candidate parameters of the mapping of different candidate grid strengths may be different.
[0058] In summary, according to the parameter acquisition method of the frequency response controller of the wind turbine set in the embodiment of the present application, the current rotation speed of the wind turbine set and the current penetration rate of the wind power system can be comprehensively considered to obtain the first target parameter of the frequency response controller of the wind turbine set, and the rated power of the wind turbine set at the current wind speed and the current grid strength of the wind power system can be comprehensively considered to obtain the second target parameter of the frequency response controller, that is, the parameters of the frequency response controller of the wind turbine set can be obtained based on the operating point of the wind turbine set. The parameters of the frequency response controller can be adaptively adjusted with the operating point of the wind turbine set, and can meet the frequency support capacity requirements for different wind turbine rotation speeds, different wind power proportions, different wind speeds, and different grid strengths when large-scale wind power is connected to the grid, thereby improving the system stability of wind turbines participating in power system frequency regulation.
[0059] An embodiment of the present application provides another method for obtaining parameters of a frequency response controller of a wind turbine generator set.
[0060] In the embodiment of the present application, the frequency response controller is a PID controller, and the first target parameter is the differential control coefficient K D .
[0061] like Figure 3 As shown, the method may include the following steps:
[0062] S301, obtaining a differential control coefficient based on a current rotation speed of the wind turbine generator set and a current penetration rate of the wind power system.
[0063] S302, configuring a differential control system in a frequency response controller based on a differential control coefficient.
[0064] For the relevant contents of steps S301 - S302 , please refer to the above embodiments and will not be described again here.
[0065] S303, based on the differential control system, evaluating the system stability parameters of the wind power system participating in the power system frequency regulation model.
[0066] It should be noted that the wind power system participates in the power system frequency regulation model, also called the wind power system participates in the power grid frequency regulation model, including the frequency regulation models of the remaining power systems except the wind power system, and the frequency regulation model of the wind power system. Among them, the frequency regulation model of the wind power system includes the frequency response controller of the wind turbine. It is understandable that in addition to the frequency response controller, the frequency regulation model of the wind power system may also include other frequency regulation devices, which are not limited here.
[0067] It should be noted that there are no excessive restrictions on the system stability parameters, for example, they may include the damping ratio.
[0068] In one embodiment, based on a differential control system, system stability parameters of a wind power system participating in a power system frequency regulation model are evaluated, including determining that a frequency response controller of the wind turbine generator set only includes a differential control system, constructing a wind power system participating in a power system frequency regulation model based on the frequency response controller of the wind turbine generator set, and evaluating system stability parameters of the wind power system participating in the power system frequency regulation model.
[0069] It should be noted that the evaluation of the system stability parameters of the wind power system participating in the power system frequency regulation model can be achieved by using any system stability evaluation method in the relevant technology, and no excessive restrictions are made here. Among them, the system stability evaluation method may include Nyquist stability criterion, Bode diagram analysis, Lyapunov stability analysis method, etc.
[0070] In some examples, evaluating system stability parameters of a wind power system participating in a power system frequency regulation model includes constructing a system state equation of the wind power system participating in the power system frequency regulation model, obtaining characteristic roots of a system state matrix of the wind power system participating in the power system frequency regulation model based on the system state equation of the wind power system participating in the power system frequency regulation model, and obtaining a damping ratio based on the characteristic roots.
[0071] For example, the process of obtaining the damping ratio based on the characteristic root is as follows:
[0072] λ=σ±jω
[0073]
[0074] Among them, λ is the characteristic root and ξ is the damping ratio.
[0075] S304, if the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is unstable, return to execute based on the current speed of the wind turbine and the current penetration rate of the wind power system, obtain the differential control coefficient and its subsequent steps, until the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is stable.
[0076] S305: The differential control coefficient obtained for the last time is used as the final differential control coefficient.
[0077] In one implementation, when the system stability parameter is a damping ratio, if the damping ratio is greater than a set threshold, the damping ratio indicates that the wind power system is stable in participating in the power system frequency regulation model, and if the damping ratio is less than or equal to the set threshold, the damping ratio indicates that the wind power system is unstable in participating in the power system frequency regulation model. It should be noted that there is no excessive limitation on the set threshold, for example, it can be 0.1.
[0078] For example, the system stability parameter is taken as the damping ratio, and the threshold is set to 0.1.
[0079] The differential control coefficient K can be obtained based on the current speed of the wind turbine and the current penetration rate of the wind power system: D1 , based on the differential control coefficient K D1 , configure the differential control system in the frequency response controller, and based on the differential control system, evaluate the damping ratio ξ1 of the wind power system participating in the power system frequency regulation model.
[0080] If the damping ratio ξ1≤1, that is, the damping ratio ξ1 indicates that the wind power system participating in the power system frequency regulation model is unstable, the differential control coefficient K can be obtained based on the current speed of the wind turbine and the current penetration rate of the wind power system: D2 , based on the differential control coefficient K D2 , configure the differential control system in the frequency response controller, and based on the differential control system, evaluate the damping ratio ξ2 of the wind power system participating in the power system frequency regulation model.
[0081] If the damping ratio ξ2≤1, that is, the damping ratio ξ2 indicates that the wind power system participating in the power system frequency regulation model is unstable, the differential control coefficient K can be obtained based on the current speed of the wind turbine and the current penetration rate of the wind power system. D3 , based on the differential control coefficient K D3 , configure the differential control system in the frequency response controller, and based on the differential control system, evaluate the damping ratio ξ3 of the wind power system participating in the power system frequency regulation model.
[0082] If the damping ratio ξ3>1, that is, the damping ratio ξ3 represents the stability of the wind power system participating in the power system frequency regulation model, the differential control coefficient K obtained last time is D3 , as the final differential control coefficient K D .
[0083] S306: Obtain a second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
[0084] In summary, according to the parameter acquisition method of the frequency response controller of the wind turbine set in the embodiment of the present application, the differential control coefficient is obtained based on the current speed of the wind turbine set and the current penetration rate of the wind power system. Based on the differential control coefficient, the differential control system in the frequency response controller is configured. Based on the differential control system, the system stability parameters of the wind power system participating in the power system frequency regulation model are evaluated. The above process is iterated multiple times until the system stability parameters characterize the stability of the wind power system participating in the power system frequency regulation model, and the differential control coefficient obtained for the last time is used as the final differential control coefficient.
[0085] An embodiment of the present application provides another method for obtaining parameters of a frequency response controller of a wind turbine generator set.
[0086] In the embodiment of the present application, the frequency response controller is a PID controller, and the second target parameter is the integral control coefficient K I .
[0087] like Figure 4 As shown, the method may include the following steps:
[0088] S401 : obtaining a first target parameter of a frequency response controller of the wind turbine generator set based on a current rotation speed of the wind turbine generator set and a current penetration rate of the wind power system.
[0089] S402, obtaining an integral control coefficient based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
[0090] S403, configuring an integral control system in a frequency response controller based on the integral control coefficient.
[0091] For the relevant contents of steps S401 - S403 , please refer to the above embodiment and will not be described again here.
[0092] S404, based on the integral control system, evaluating the system stability parameters of the wind power system participating in the power system frequency regulation model.
[0093] In one embodiment, based on the integral control system, the system stability parameters of the wind power system participating in the power system frequency regulation model are evaluated, including determining that the frequency response controller of the wind turbine group only includes the integral control system, constructing the wind power system participating in the power system frequency regulation model based on the frequency response controller of the wind turbine group, and evaluating the system stability parameters of the wind power system participating in the power system frequency regulation model.
[0094] It should be noted that the relevant content of step S404 can refer to the relevant content of step S303 in the above embodiment, which will not be repeated here.
[0095] S405, if the system stability parameter characterizes that the wind power system participating in the power system frequency regulation model is unstable, return to execute based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system, obtain the integral control coefficient and its subsequent steps, until the system stability parameter characterizes that the wind power system participating in the power system frequency regulation model is stable.
[0096] S406: The integral control coefficient obtained last time is used as the final integral control coefficient.
[0097] In one implementation, when the system stability parameter is a damping ratio, if the damping ratio is greater than a set threshold, the damping ratio indicates that the wind power system is stable in participating in the power system frequency regulation model, and if the damping ratio is less than or equal to the set threshold, the damping ratio indicates that the wind power system is unstable in participating in the power system frequency regulation model. It should be noted that there is no excessive limitation on the set threshold, for example, it can be 0.1.
[0098] For example, the system stability parameter is taken as the damping ratio, and the threshold is set to 0.1.
[0099] The integral control coefficient K can be obtained based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system: I1 , based on the integral control coefficient K I1 , configure the integral control system in the frequency response controller, and based on the integral control system, evaluate the damping ratio ξ4 of the wind power system participating in the power system frequency regulation model.
[0100] If the damping ratio ξ4≤1, that is, the damping ratio ξ4 indicates that the wind power system participating in the power system frequency regulation model is unstable, the integral control coefficient K can be obtained based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system: I2 , based on the integral control coefficient K I2 , configure the integral control system in the frequency response controller, and based on the integral control system, evaluate the damping ratio ξ5 of the wind power system participating in the power system frequency regulation model.
[0101] If the damping ratio ξ5≤1, that is, the damping ratio ξ5 indicates that the wind power system participating in the power system frequency regulation model is unstable, the integral control coefficient K can be obtained based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system: I3 , based on the integral control coefficient K I3 , configure the integral control system in the frequency response controller, and based on the integral control system, evaluate the damping ratio ξ6 of the wind power system participating in the power system frequency regulation model.
[0102] If the damping ratio ξ6>1, that is, the damping ratio ξ6 represents the stability of the wind power system participating in the power system frequency regulation model, the integral control coefficient K obtained last time is I3 , as the final integral control coefficient K I .
[0103] In summary, according to the parameter acquisition method of the frequency response controller of the wind turbine group according to the embodiment of the present application, the integral control coefficient is obtained based on the rated power of the wind turbine group at the current wind speed and the current grid strength of the wind power system. Based on the integral control coefficient, the integral control system in the frequency response controller is configured. Based on the integral control system, the system stability parameters of the wind power system participating in the power system frequency regulation model are evaluated. The above process is iterated multiple times until the system stability parameters characterize the stability of the wind power system participating in the power system frequency regulation model, and the integral control coefficient obtained for the last time is used as the final integral control coefficient.
[0104] In order to implement the above embodiment, the present application also proposes a parameter acquisition device for a frequency response controller of a wind turbine generator set.
[0105] Figure 5 A schematic diagram of the structure of a parameter acquisition device for a frequency response controller of a wind turbine set provided in an embodiment of the present application.
[0106] like Figure 5 As shown, the parameter acquisition device 500 of the frequency response controller of the wind turbine generator system includes: a first acquisition module 501 and a second acquisition module 502 .
[0107] A first acquisition module 501 is used to obtain a first target parameter of a frequency response controller of the wind turbine generator set based on a current rotation speed of the wind turbine generator set and a current penetration rate of the wind power system;
[0108] The second acquisition module 502 is used to obtain a second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
[0109] Furthermore, in a possible implementation method of an embodiment of the present application, the first acquisition module 501 is also used to: obtain a current difference between a current rotational speed of the wind turbine group and a minimum rotational speed of the wind turbine group; and obtain the first target parameter based on the arithmetic square root of the current difference and the current penetration rate of the wind power system.
[0110] Furthermore, in a possible implementation of an embodiment of the present application, the first acquisition module 501 is also used to: obtain a first functional relationship between a first sample parameter of the frequency response controller and a sample speed of the wind turbine and a sample penetration rate of the wind power system; and obtain the first target parameter based on a current speed of the wind turbine, a current penetration rate of the wind power system and the first functional relationship.
[0111] Furthermore, in a possible implementation of an embodiment of the present application, the second acquisition module 502 is also used to: obtain a second functional relationship between a second sample parameter of the frequency response controller and the rated power of the wind turbine at a sample wind speed and a sample grid strength of the wind power system; and obtain the second target parameter based on the rated power of the wind turbine at the current wind speed, the current grid strength of the wind power system and the second functional relationship.
[0112] Further, in a possible implementation of the embodiment of the present application, the frequency response controller is a proportional-integral-differential (PID) controller, the first target parameter is a differential control coefficient, and the second target parameter is an integral control coefficient.
[0113] Furthermore, in a possible implementation of an embodiment of the present application, the first acquisition module 501 is also used to: obtain the differential control coefficient based on the current speed of the wind turbine and the current penetration rate of the wind power system; configure the differential control system in the frequency response controller based on the differential control coefficient; evaluate the system stability parameters of the wind power system participating in the power system frequency regulation model based on the differential control system; if the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is unstable, return to execute the steps of obtaining the differential control coefficient based on the current speed of the wind turbine and the current penetration rate of the wind power system and subsequent steps, until the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is stable; and use the differential control coefficient obtained for the last time as the final differential control coefficient.
[0114] Furthermore, in a possible implementation of an embodiment of the present application, the second acquisition module 502 is also used to: obtain the integral control coefficient based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system; configure the integral control system in the frequency response controller based on the integral control coefficient; evaluate the system stability parameters of the wind power system participating in the power system frequency regulation model based on the integral control system; if the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is unstable, return to execute the step of obtaining the integral control coefficient based on the rated power of the wind turbine at the current wind speed and the current grid strength of the wind power system and its subsequent steps, until the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is stable; and use the integral control coefficient obtained for the last time as the final integral control coefficient.
[0115] Furthermore, in a possible implementation of an embodiment of the present application, the device 500 also includes: a processing module, used to: obtain the frequency deviation of the grid connection point of the wind turbine participating in the power grid; input the frequency deviation into the frequency response controller to obtain the additional active power of the wind turbine.
[0116] It should be noted that the above explanation of the embodiment of the method for obtaining parameters of the frequency response controller of a wind turbine generator set is also applicable to the device for obtaining parameters of the frequency response controller of a wind turbine generator set of this embodiment, and will not be repeated here.
[0117] In summary, the parameter acquisition device of the frequency response controller of the wind turbine group in the embodiment of the present application can comprehensively consider the current rotational speed of the wind turbine group and the current penetration rate of the wind power system to obtain the first target parameter of the frequency response controller of the wind turbine group, and comprehensively consider the rated power of the wind turbine group at the current wind speed, and the current grid strength of the wind power system to obtain the second target parameter of the frequency response controller, that is, based on the operating point of the wind turbine group, the parameters of the frequency response controller of the wind turbine group can be obtained, and the parameters of the frequency response controller can be adaptively adjusted with the operating point of the wind turbine group, which can meet the frequency support capacity requirements for different wind turbine rotational speeds, different wind power proportions, different wind speeds, and different grid strengths when large-scale wind power is connected to the grid, thereby improving the system stability of wind turbines participating in power system frequency regulation.
[0118] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.
[0119] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.
[0120] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.
[0121] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.
[0122] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.
[0123] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.
[0124] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0125] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood to control or imply relative importance or implicitly indicate the number of technical features controlled. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0126] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.
[0127] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.
[0128] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0129] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.
[0130] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0131] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.
Claims
1. A method for obtaining parameters of a frequency response controller of a wind turbine generator set, characterized in that: include: Based on the current rotation speed of the wind turbine generator set and the current penetration rate of the wind power system, obtaining a first target parameter of a frequency response controller of the wind turbine generator set; Based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system, a second target parameter of the frequency response controller is obtained.
2. The method according to claim 1, characterized in that The obtaining of the first target parameter of the frequency response controller of the wind turbine generator set based on the current rotation speed of the wind turbine generator set and the current penetration rate of the wind power system comprises: Obtaining a current difference between a current rotation speed of the wind turbine generator set and a minimum rotation speed of the wind turbine generator set; The first target parameter is obtained based on the arithmetic square root of the current difference and the current penetration rate of the wind power system.
3. The method according to claim 1, characterized in that The obtaining of the first target parameter of the frequency response controller of the wind turbine generator set based on the current rotation speed of the wind turbine generator set and the current penetration rate of the wind power system comprises: Acquire a first functional relationship between a first sample parameter of the frequency response controller, a sample rotation speed of the wind turbine generator set, and a sample penetration rate of the wind power system; The first target parameter is obtained based on the current rotation speed of the wind turbine generator set, the current penetration rate of the wind power system and the first functional relationship.
4. The method according to claim 1, characterized in that: The obtaining of the second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system comprises: Acquire a second functional relationship between a second sample parameter of the frequency response controller and the rated power of the wind turbine generator set at a sample wind speed and a sample grid strength of the wind power system; The second target parameter is obtained based on the rated power of the wind turbine generator set at the current wind speed, the current grid strength of the wind power system and the second functional relationship.
5. The method according to claim 1, characterized in that The frequency response controller is a proportional-integral-differential (PID) controller, the first target parameter is a differential control coefficient, and the second target parameter is an integral control coefficient.
6. The method according to claim 5, characterized in that The obtaining of the first target parameter of the frequency response controller of the wind turbine generator set based on the current rotation speed of the wind turbine generator set and the current penetration rate of the wind power system comprises: Based on the current rotation speed of the wind turbine generator set and the current penetration rate of the wind power system, obtaining the differential control coefficient; configuring a differential control system in the frequency response controller based on the differential control coefficient; Based on the differential control system, evaluating the system stability parameters of the wind power system participating in the power system frequency regulation model; If the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is unstable, return to execute the step of obtaining the differential control coefficient based on the current speed of the wind turbine generator set and the current penetration rate of the wind power system and subsequent steps, until the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is stable; The differential control coefficient obtained for the last time is taken as the final differential control coefficient.
7. The method according to claim 5, characterized in that The obtaining of the second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system comprises: Obtaining the integral control coefficient based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system; configuring an integral control system in the frequency response controller based on the integral control coefficient; Based on the integral control system, evaluating the system stability parameters of the wind power system participating in the power system frequency regulation model; If the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is unstable, return to execute the step of obtaining the integral control coefficient based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system and subsequent steps, until the system stability parameter indicates that the wind power system participating in the power system frequency regulation model is stable; The integral control coefficient obtained for the last time is taken as the final integral control coefficient.
8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: Obtaining a frequency deviation of a grid connection point of the wind turbine generator system; The frequency deviation is input into the frequency response controller to obtain the additional active power of the wind turbine generator set.
9. A parameter acquisition device for a frequency response controller of a wind turbine generator set, characterized in that: include: A first acquisition module, configured to obtain a first target parameter of a frequency response controller of the wind turbine generator set based on a current rotation speed of the wind turbine generator set and a current penetration rate of the wind power system; The second acquisition module is used to obtain the second target parameter of the frequency response controller based on the rated power of the wind turbine generator set at the current wind speed and the current grid strength of the wind power system.
10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.
11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.
12. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.