Determination method of wind power plant model and corresponding device
By determining the basic parameters, modeling functions and parameter vectors of wind farms, building the objective function and optimizing the wind farm model, the problem of low accuracy of wind farm models in the existing technology is solved, and more efficient data integration and optimization is achieved, improving the accuracy and prediction performance of the model.
Patent Information
- Application Number
- CN202411432606.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-03-14
AI Technical Summary
In the prior art, the accuracy is relatively low when constructing a wind farm model, which is mainly due to the low degree of data integration, resulting in insufficient accuracy of the wind farm model.
By determining the basic parameters, modeling functions and parameter vectors of the wind farm, the objective function is constructed and the wind farm model is optimized through parameterized modeling methods to improve the accuracy of the model.
The accuracy of the wind farm model and the reliability of the predictive performance are improved, and the overall accuracy of the wind farm model is improved through more efficient data integration and optimization methods.
Smart Images
Figure CN119623140A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of computer technology, and in particular, to a method for determining a wind farm model and a corresponding device. Background Art
[0002] A wind farm model is a mathematical or computational model that describes and analyzes the various components of a corresponding wind farm and their interrelationships. In the related art, a virtual wind farm model corresponding to a wind farm is usually constructed in a virtual environment to perform visual management of the wind farm. However, when a wind farm model is constructed using the methods in the related art, its accuracy is relatively low. Summary of the invention
[0003] The purpose of the present disclosure is to provide a method for determining a wind farm model and a corresponding device to solve the technical problems existing in the related art.
[0004] In order to achieve the above objectives, in a first aspect, the present disclosure provides a method for determining a wind farm model, comprising: Determine basic parameters, modeling functions and parameter vectors of the wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling functions are used to characterize the geometric shape, structure and performance of wind power equipment in the wind farm, and the parameter vectors are used to characterize the characteristics and performance of the wind farm; Determining an objective function of the wind farm according to the modeling function and the parameter vector; According to the basic parameters, constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method; The first wind farm model is optimized by using the objective function to obtain a second wind farm model of the wind farm.
[0005] Optionally, determining a modeling function of a wind farm includes: Determining curve structure parameters and surface structure parameters of the wind farm; Processing the curve structure parameters by a Bezier curve method to obtain a curve modeling function of the wind farm; Processing the surface structure parameters by a non-uniform rational basic spline method to obtain a surface modeling function of the wind farm; The curve modeling function and the surface modeling function are determined as the modeling function of the wind farm.
[0006] Optionally, the processing of the surface structure parameters by a non-uniform rational basis spline method to obtain a surface modeling function of the wind farm includes: The curved surface structure parameters are processed by the following calculation formula to obtain the curved surface modeling function of the wind farm;
[0007] in, is a point on the surface, and are the surface structure parameters in different directions, is the basis function in the direction of the u parameter, is the basis function in the direction of the v parameter, is the control point, is the weight, is the length of the node vector, is the number of control points.
[0008] Optionally, the parameter vector is at least one of a size parameter vector, a shape parameter vector, a material parameter vector, an operation parameter vector and a control parameter vector.
[0009] Optionally, determining the objective function of the wind farm according to the modeling function and the parameter vector includes: The modeling function and the parameter vector are processed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method and an iterative method to obtain the objective function of the wind farm.
[0010] Optionally, constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method according to the basic parameters includes: According to the wind power equipment parameters in the basic parameters, constructing a wind power equipment model corresponding to the wind farm by using the parameterized modeling method; According to the on-site road parameters in the basic parameters, constructing an on-site road model corresponding to the wind farm by using the parameterized modeling method; According to the collector line parameters in the basic parameters, constructing a collector line model corresponding to the wind farm by using the parameterized modeling method; The wind power equipment model, the on-site road model and the collector line model are integrated to obtain the first wind farm model.
[0011] Optionally, constructing a wind power equipment model corresponding to the wind farm by the parametric modeling method according to the wind power equipment parameters in the basic parameters includes: Processing the blade parameters in the wind power equipment parameters by at least one of the curve driving method, the parameterized template method, the characteristic section method and the data fitting method in the parameterized modeling method to obtain a blade model; Processing the tower parameters in the wind power equipment parameters by the standardized modeling method or the engineering constraint driven method in the parametric modeling method to obtain a tower model; Processing the wind turbine basic parameters in the wind power equipment parameters by the finite element analysis method in the parametric modeling method to obtain a wind turbine basic model; The blade model, the tower model and the wind turbine foundation model are integrated to obtain the wind power equipment model.
[0012] Optionally, constructing the on-site road model corresponding to the wind farm by the parameterized modeling method according to the on-site road parameters in the basic parameters includes: Processing the horizontal and vertical curve parameters in the field road parameters by the curve generation method in the parameterized modeling method to obtain the horizontal and vertical curve models; The horizontal and vertical curve models are processed by using the slope parameter and the road width parameter in the field road parameters to obtain the field road model.
[0013] Optionally, constructing a collector line model corresponding to the wind farm by the parameterized modeling method according to the collector line parameters in the basic parameters includes: Processing the line parameters in the collector line parameters by the parametric modeling method to obtain a line model; The line model is processed by the conductor parameters in the collector line parameters to obtain a conductor model; The conductor model is processed by using the insulation parameters in the collector line parameters to obtain the collector line model.
[0014] In a second aspect, the present disclosure further provides a device for determining a wind farm model, comprising a first determination module, a second determination module, a model building module, and an optimization module; The first determination module is used to determine basic parameters, modeling functions and parameter vectors of the wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling function is used to characterize the geometric shape, structure and performance of the wind power equipment in the wind farm, and the parameter vector is used to characterize the characteristics and performance of the wind farm; The second determination module is used to determine the objective function of the wind farm according to the modeling function and the parameter vector; The model building module is used to build a first wind farm model corresponding to the wind farm through a parameterized modeling method according to the basic parameters; The optimization module is used to optimize the first wind farm model through the objective function to obtain a second wind farm model of the wind farm.
[0015] Optionally, the first determining module includes: A third determination module is used to determine the curve structure parameters and the surface structure parameters of the wind farm; A first processing module, configured to process the curve structure parameters by using a Bezier curve method to obtain a curve modeling function of the wind farm; A second processing module is used to process the surface structure parameters by a non-uniform rational basic spline method to obtain a surface modeling function of the wind farm; A fourth determining module is used to determine the curve modeling function and the surface modeling function as the modeling function of the wind farm.
[0016] Optionally, the second processing module is used to: The curved surface structure parameters are processed by the following calculation formula to obtain the curved surface modeling function of the wind farm;
[0017] in, is a point on the surface, and are the surface structure parameters in different directions, is the basis function in the direction of the u parameter, is the basis function in the direction of the v parameter, is the control point, is the weight, is the length of the node vector, is the number of control points.
[0018] Optionally, the parameter vector is at least one of a size parameter vector, a shape parameter vector, a material parameter vector, an operation parameter vector and a control parameter vector.
[0019] Optionally, the second determination module is used to: The modeling function and the parameter vector are processed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method and an iterative method to obtain the objective function of the wind farm.
[0020] Optionally, the model building module includes: A first model building submodule is used to build a wind power equipment model corresponding to the wind farm through the parameterized modeling method according to the wind power equipment parameters in the basic parameters; A second model building submodule is used to build an on-site road model corresponding to the wind farm through the parameterized modeling method according to the on-site road parameters in the basic parameters; A third model building submodule is used to build a collector line model corresponding to the wind farm through the parameterized modeling method according to the collector line parameters in the basic parameters; The first model integration module is used to integrate the wind power equipment model, the on-site road model and the collector line model to obtain the first wind farm model.
[0021] Optionally, the first model building submodule includes: A third processing module is used to process the blade parameters in the wind power equipment parameters by at least one method selected from the curve driving method, the parameterized template method, the characteristic section method and the data fitting method in the parameterized modeling method to obtain a blade model; A fourth processing module is used to process the tower parameters in the wind power equipment parameters by using the standardized modeling method or the engineering constraint driven method in the parameterized modeling method to obtain a tower model; A fifth processing module, configured to process the wind turbine basic parameters in the wind power equipment parameters by using the finite element analysis method in the parametric modeling method to obtain a wind turbine basic model; The second model integration module is used to integrate the blade model, the tower model and the wind turbine foundation model to obtain the wind power equipment model.
[0022] Optionally, the second model building submodule includes: A sixth processing module, used for processing the horizontal and vertical curve parameters in the field road parameters by the curve generation method in the parameterized modeling method to obtain a horizontal and vertical curve model; The seventh processing module is used to process the horizontal and vertical curve models through the slope parameters and the road width parameters in the field road parameters to obtain the field road model.
[0023] Optionally, the third model building submodule includes: An eighth processing module, configured to process the line parameters in the collector line parameters by using the parameterized modeling method to obtain a line model; A ninth processing module, configured to process the line model by using the wire parameters in the collector line parameters to obtain a wire model; The tenth processing module is used to process the wire model according to the insulation parameters in the collector line parameters to obtain the collector line model.
[0024] In a third aspect, the present disclosure further provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.
[0025] In a fourth aspect, the present disclosure further provides an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of any one of the methods provided in the first aspect of the present disclosure.
[0026] In a fifth aspect, the present disclosure further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.
[0027] Through the above technical solution, according to the basic data of the wind farm, a first wind farm model corresponding to the wind farm is constructed by a parametric modeling method, and then the first wind farm model is optimized by an objective function to obtain a second wind farm model, wherein the objective function is constructed by a modeling function and a parameter vector of the wind farm, the modeling function is used to characterize the geometry, structure and performance of the wind farm, and the parameter vector is used to characterize the characteristics and performance of the wind farm. By determining the objective function by using the modeling function used to characterize the geometry, structure and performance of the wind farm and the parameter performance used to characterize the characteristics and performance of the wind farm, the accuracy of data integration can be improved, and then when the objective function is used to optimize the first wind farm model, the accuracy of the second wind farm model can be improved.
[0028] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a schematic diagram showing a method for determining a wind farm model according to an exemplary embodiment of the present disclosure.
[0030] Figure 2 is a schematic diagram showing a blade model constructed by a curve driving method according to an exemplary embodiment of the present disclosure.
[0031] Figure 3 The figure is a schematic diagram showing a blade model constructed by a parameterized template method according to an exemplary embodiment of the present disclosure.
[0032] Figure 4 It is a schematic diagram showing a blade model constructed by a characteristic cross-section method according to an exemplary embodiment of the present disclosure.
[0033] Figure 5 is a schematic diagram showing a basic model of a wind turbine according to an exemplary embodiment of the present disclosure.
[0034] Figure 6is a schematic diagram showing a device for determining a wind farm model according to an exemplary embodiment of the present disclosure.
[0035] Figure 7 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION
[0036] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.
[0037] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.
[0038] With the advancement of computer technology, the method of building a three-dimensional model in a virtual environment has been widely used in the field of wind farm design and modeling. By building a wind farm model in a virtual environment, the complex wind farm structure can be presented intuitively, and the spatial information can be visualized and multi-dimensional dynamic simulation can be performed. The wind farm model can also be applied to the site selection, design, optimization and operation management of the wind farm.
[0039] In the related art, the data of wind farm equipment is processed by the digital twin method, a wind farm equipment model corresponding to the wind farm equipment is constructed, and the wind farm equipment model is used to predict the operating status of the wind farm equipment to improve the maintainability of the wind farm.
[0040] However, the inventors found that when constructing a wind farm model using the methods in the relevant technology, in the process of constructing the wind farm model, the wind farm equipment model is constructed only based on the data of the wind farm equipment, the data is single, and the degree of data integration is not high, which results in low accuracy of the constructed wind farm model.
[0041] In view of this, the present disclosure provides a method for determining a wind farm model and a corresponding device to solve the technical problems existing in the above related technologies.
[0042] like Figure 1 As shown, Figure 1 is a schematic diagram showing a method for determining a wind farm model according to an exemplary embodiment of the present disclosure, with reference to Figure 1 ,include: S101: Determine basic parameters, modeling functions, and parameter vectors of a wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling functions are used to characterize the geometric shape, structure, and performance of wind power equipment in the wind farm, and the parameter vectors are used to characterize the characteristics and performance of the wind farm; S102: determining an objective function of the wind farm according to the modeling function and the parameter vector; S103: constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method according to the basic parameters; S104: Optimizing the first wind farm model by using the objective function to obtain a second wind farm model of the wind farm.
[0043] Through the above technical solution, according to the basic data of the wind farm, a first wind farm model corresponding to the wind farm is constructed by a parametric modeling method, and then the first wind farm model is optimized by an objective function to obtain a second wind farm model, wherein the objective function is constructed by a modeling function and a parameter vector of the wind farm, the modeling function is used to characterize the geometry, structure and performance of the wind farm, and the parameter vector is used to characterize the characteristics and performance of the wind farm. By determining the objective function by using the modeling function used to characterize the geometry, structure and performance of the wind farm and the parameter performance used to characterize the characteristics and performance of the wind farm, the accuracy of data integration can be improved, and then when the objective function is used to optimize the first wind farm model, the accuracy of the second wind farm model can be improved.
[0044] In order to enable those skilled in the art to better understand the method for determining a wind farm model provided by the present disclosure, the above steps are described in detail with examples below.
[0045] For example, basic parameters can be used to characterize the parameters of various equipment, sites and lines in a wind farm, wherein the basic parameters may include wind power equipment parameters, on-site road parameters and collector line parameters in the wind farm, which are not specifically limited in the embodiments of the present disclosure.
[0046] Modeling functions can be used to describe the combined shape, structure and performance of wind turbines in a wind farm. Parameter vectors can be used to characterize the characteristics and performance of a wind farm.
[0047] In a possible manner, the determining of the modeling function of the wind farm includes: Determining curve structure parameters and surface structure parameters of the wind farm; Processing the curve structure parameters by a Bezier curve method to obtain a curve modeling function of the wind farm; Processing the surface structure parameters by a non-uniform rational basic spline method to obtain a surface modeling function of the wind farm; The curve modeling function and the surface modeling function are determined as the modeling function of the wind farm.
[0048] It should be understood that the curve structure parameters can be used to characterize the line parameters of the geometric shape of the wind farm site and wind power equipment, for example, they can be the length, width, and height of the site in the wind farm, or they can be the edge line parameters of the wind power equipment in the wind farm, and the embodiments of the present disclosure do not make specific limitations on this. The surface structure parameters can be used to characterize the parameters of the curved surface shape existing in the wind farm, for example, they can be the curved surface parameters of the blades in the wind power equipment, or they can be the curved surface parameters of the tower in the wind power equipment, and the embodiments of the present disclosure do not make specific limitations on this.
[0049] When determining the modeling function of the wind farm, it can be determined by a curve generation method and a non-uniform rational basis spline method, wherein the curve generation method can be a Bezier curve method.
[0050] When the curve structure parameters are processed by the Bezier curve method to obtain the curve modeling function of the wind farm, the calculation formula can be expressed by a first-order Bezier curve or a second-order Bezier curve. Specifically, when the modeling function is expressed by a first-order Bezier curve, it can be expressed by the following calculation formula: ,in, is a point on the Bezier curve, and are control points on the Bezier curve. Curve structure parameters not described.
[0051] When the modeling function is represented by a second-order Bezier curve, it can be expressed by the following calculation formula: ,in, is a point on the Bezier curve, , and are control points on the Bezier curve. Curve structure parameters not described.
[0052] Then, the curvature and convexity of the Bezier curve can be adjusted by adjusting the position and weight of the control points on the Bezier curve. For example, in a second-order Bezier curve, and are the starting point and end point of the second-order Bezier curve, is the control point of the second-order Bezier curve, by adjusting The position and weight of can control the curvature and convexity of the second-order Bezier curve.
[0053] By setting the Bezier curve, the smoothness of the curve structure parameters in the wind farm can be achieved, thereby avoiding sharp angles and discontinuity in the curve.
[0054] In a possible manner, the surface structure parameters are processed by a non-uniform rational basis spline method to obtain a surface modeling function of the wind farm, including: The curved surface structure parameters are processed by the following calculation formula to obtain the curved surface modeling function of the wind farm;
[0055] in, is a point on the surface, and are the surface structure parameters in different directions, is the basis function in the direction of the u parameter, is the basis function in the direction of the v parameter, is the control point, is the weight, is the length of the node vector, is the number of control points.
[0056] It should be understood that the Non-Uniform Rational B-Spline method can be used to describe surfaces with complex curvature and shape. The Non-Uniform Rational B-Spline method includes control points, weights, node vectors, and degree definitions. Among them, the control points can be used to characterize the geometric shape of the surface. The weights can be used to characterize the degree of influence of the control points on the surface. The node vectors can be non-descending parameter sequences and can be used to define the parameter space of the surface. The degree can be used to characterize the smoothness and complexity of the surface.
[0057] In this surface, the position and weight of the control points can be adjusted to achieve precise control of the surface, thereby improving the smoothness of the surface.
[0058] In a possible manner, the parameter vector is at least one of a size parameter vector, a shape parameter vector, a material parameter vector, an operation parameter vector and a control parameter vector.
[0059] It should be understood that the size parameter vector may include a geometric dimension for controlling the wind power equipment, and the geometric dimension may be at least one of length, width, height, diameter and thickness, and the embodiments of the present disclosure do not specifically limit this. Among them, the size parameter vector may include blade length, tower height and nacelle width. Blade length can be used to capture electricity and corresponding performance in a wind turbine. Tower height can be used to ensure that the blades capture wind energy in a sufficiently high wind layer. Nacelle width can affect the layout of components in a wind turbine and the overall size of the wind turbine set.
[0060] The shape parameter vector can be used to describe the shape characteristics of wind turbines, including blade curvature radius and cabin shape parameters. By parameterizing the blade curvature radius, blade models of different shapes can be realized to meet different aerodynamic performance requirements. By parameterizing the cabin shape parameters, the cabin shape can be flexibly controlled.
[0061] The material parameter vector may be used to define the physical properties of the material of the wind power equipment, wherein the material parameter vector may include density, elastic modulus, and tensile strength, which are not specifically limited in the embodiments of the present disclosure.
[0062] The operating parameter vector can be used to characterize the performance of the wind power equipment under different working conditions. The operating parameter vector may include wind speed and temperature, which is not specifically limited in the embodiments of the present disclosure.
[0063] The control parameter vector can be used to characterize the control strategy and working mode of the wind power equipment. The control parameter vector may include blade angle and generator output power, which is not specifically limited in the embodiments of the present disclosure.
[0064] For example, the objective function of the wind farm can be constructed based on the modeling function and the parameter vector. When constructing the objective function of the wind farm, it can be constructed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method, and an iterative method.
[0065] In a possible manner, determining the objective function of the wind farm according to the modeling function and the parameter vector includes: The modeling function and the parameter vector are processed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method and an iterative method to obtain the objective function of the wind farm.
[0066] It should be understood that when the objective function is constructed by a nonlinear method, it can be constructed by the following calculation formula: , where F is the objective function, P is the parameter vector, and M is the modeling function. The nonlinear method can be applied to aerodynamic performance modeling and blade bending modeling. When the nonlinear method is used for aerodynamic performance modeling, the corresponding nonlinear equation can characterize the power curve and wind speed curve of the wind turbine. When the nonlinear method is used for blade bending modeling, the corresponding nonlinear equation can characterize the shape change of the blade.
[0067] When constructing the objective function through nonlinear regression analysis method, it can be constructed by the following calculation formula: ,in, is the objective function, P is the parameter vector, M is the modeling function, is a nonlinear function, The nonlinear regression analysis method can be applied to performance fitting and material property determination. For example, the power curve in the wind turbine can be fitted by the nonlinear regression analysis method, and the material parameters of the wind power equipment can also be analyzed by the nonlinear regression analysis method.
[0068] When constructing the objective function using the Hardy equation method, it can be constructed using the following calculation formula: ,in, is the objective function, P is the parameter vector, M is the modeling function, t is time, and f is a function including the parameter vector and the modeling function. Among them, the Hardy equation method can be applied to vibration analysis and control system modeling. For example, the Hardy equation method can be used to describe the vibration of the blades and tower of the wind turbine under the action of the wind field and mechanical loads, and the Hardy equation method can also be used to describe the dynamic response of the control system.
[0069] When constructing the objective function through an iterative method, it can be constructed through the following calculation formula: , the equation can be expressed as gradually adjusting the parameter vector to approximate the modeling function M. Where K is the number of iterations, is the parameter adjustment amount in the Kth iteration. The iterative method can be applied to solving inverse problems and optimization problems.
[0070] The objective function is constructed by using the parameter vector and the modeling function, which can be used to subsequently optimize the first wind farm model, thereby providing the accuracy of the second wind farm model and improving the accuracy and reliability of the prediction performance of the second wind farm model.
[0071] For example, parametric modeling can quickly generate different solutions by adjusting parameters. In this embodiment, after determining the basic parameters, a first wind farm model corresponding to the wind farm can be constructed by a parametric modeling method. The wind farm model constructed by parametric modeling can improve the convenience of changing the wind farm model.
[0072] In a possible manner, constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method according to the basic parameters includes: According to the wind power equipment parameters in the basic parameters, constructing a wind power equipment model corresponding to the wind farm by using the parameterized modeling method; According to the on-site road parameters in the basic parameters, constructing an on-site road model corresponding to the wind farm by using the parameterized modeling method; According to the collector line parameters in the basic parameters, constructing a collector line model corresponding to the wind farm by using the parameterized modeling method; The wind power equipment model, the on-site road model and the collector line model are integrated to obtain the first wind farm model.
[0073] It should be understood that when constructing a wind farm model, the wind farm model can be divided into a wind farm equipment model, an on-site road model, and a collector line model. The wind farm equipment model can be constructed by wind farm equipment parameters, the on-site road model can be constructed by on-site road parameters, and the collector line model can be constructed by collector line parameters. Then, the wind farm equipment model, the on-site road model, and the collector line model are integrated to obtain a first wind farm model.
[0074] In a possible manner, the step of constructing a wind power equipment model corresponding to the wind farm by the parametric modeling method according to the wind power equipment parameters in the basic parameters includes: Processing the blade parameters in the wind power equipment parameters by at least one of the curve driving method, the parameterized template method, the characteristic section method and the data fitting method in the parameterized modeling method to obtain a blade model; Processing the tower parameters in the wind power equipment parameters by the standardized modeling method or the engineering constraint driven method in the parametric modeling method to obtain a tower model; Processing the wind turbine basic parameters in the wind power equipment parameters by the finite element analysis method in the parametric modeling method to obtain a wind turbine basic model; The blade model, the tower model and the wind turbine foundation model are integrated to obtain the wind power equipment model.
[0075] It should be understood that wind power equipment parameters can be used to characterize parameters such as performance, shape, size, etc. of wind power equipment. When constructing a wind power equipment model through a parametric modeling method, the wind power equipment parameters can be divided into blade parameters, tower parameters, and wind turbine foundation parameters. Then, the blade parameters, tower parameters, and wind turbine foundation parameters can be processed separately to obtain a blade model, a tower model, and a wind turbine foundation model, and then the blade model, tower model, and wind turbine foundation model can be integrated into a wind power equipment model.
[0076] When processing the blade parameters, the blade parameters may be processed by at least one of a curve driving method, a parameterized template method, a characteristic section method, and a data fitting method to obtain a blade model.
[0077] For example, Figure 2As shown in the figure, when the wind turbine parameters are processed by the curve driving method, the target type curve can be determined according to the blade parameters, and then the profile curve of the blade is drawn on the plane according to the target type curve, and the profile curve can constitute the interface of the blade. The profile curve can then be parameterized to obtain a two-dimensional profile curve, and the two-dimensional profile curve can be stretched, rotated, mirrored, etc. to obtain a blade model. Among them, the target type curve includes Bezier curve, B-spline curve and Beta (Beta Distribution) curve.
[0078] like Figure 3 As shown in the figure, when the parameters of the fan are processed by the parametric template method, the target key parameters can be determined according to the blade parameters, and the target key parameters can be the bottom diameter of the blade, the length of the middle section of the blade, the width of the middle section of the blade, the distance from the middle of the blade to the ground, the distance from the middle of the blade to the top, the bottom diameter of the support column, the diameter of the cylinder under the support column, the length of the cylinder under the support column, the diameter of the upper cone of the support column, and the length of the upper cone of the support column. After that, according to the structural characteristics of the blade, a blade generation template that can be driven by parameters can be constructed, and according to the fan parameters, the parameters in the blade generation template can be adjusted to obtain a blade model.
[0079] like Figure 4 As shown in the figure, when the fan parameters are processed by the characteristic section method, the key characteristic area of the blade and the corresponding fan sub-parameters can be identified according to the shape of the blade and the fan parameters. The key characteristic area can be the root, middle and tip of the blade. For each key characteristic area, the two-dimensional cross-sectional profile is extracted, and the two-dimensional interface profile and the fan sub-parameters are over-processed and fused to obtain the blade model.
[0080] When the fan parameters are processed by the data fitting method, the fan parameters can be fitted by a high-order mathematical function, and the fitting parameters can be adjusted. A digital model is generated according to the adjusted fitting parameters to obtain a blade model.
[0081] When processing tower parameters, the tower parameters can be processed through standardized modeling methods or engineering constraint driven methods to obtain a tower model.
[0082] When the tower parameters are processed by the standardized modeling method, the tower parameters can be processed by the optimization algorithm driven method or the optimization algorithm iterative method to obtain the tower model. When the tower parameters are processed by the engineering constraint driven method, the tower parameters can be processed by the preset rules to obtain the tower model. Alternatively, the tower parameters can be processed by the full life cycle factors to obtain the tower model.
[0083] Afterwards, the basic parameters of the fan in the fan equipment parameters can be processed by the finite element analysis method in the parametric modeling method to obtain the basic model of the fan. Figure 5 As shown, in the process of processing the wind turbine foundation parameters, the foundation geometry can be modeled, and then the constructed model is parameterized by materials, loads, foundation conditions, and structure analysis parameters to obtain the wind turbine foundation model.
[0084] The blade model, tower model and wind turbine foundation model can then be integrated to obtain a wind power equipment model.
[0085] Using different methods to construct the model according to different parameters can make the constructed wind power equipment model more accurate.
[0086] In a possible manner, the constructing the on-site road model corresponding to the wind farm by the parameterized modeling method according to the on-site road parameters in the basic parameters includes: Processing the horizontal and vertical curve parameters in the field road parameters by the curve generation method in the parameterized modeling method to obtain the horizontal and vertical curve models; The horizontal and vertical curve models are processed by using the slope parameter and the road width parameter in the field road parameters to obtain the field road model.
[0087] It should be understood that when constructing the in-field road model according to the in-field road parameters, the generated curve can be determined as a Bezier curve or a spline curve according to the characteristics of the in-field road parameters. The horizontal and vertical curve parameters are processed by the Bezier curve or the spline curve, and the position and weight of the control point on the curve are adjusted, and the order and weight of the curve are determined. The curve is adjusted again according to the order and weight to obtain the horizontal and vertical curve models, thereby improving the smoothness of the horizontal and vertical curve models.
[0088] Afterwards, the slope and road width in the horizontal and vertical curve models can be determined according to the slope parameters and road width parameters, and the slope and road width can be adjusted in conjunction to obtain the on-site road model.
[0089] In a possible manner, the step of constructing a collector line model corresponding to the wind farm by the parameterized modeling method according to the collector line parameters in the basic parameters includes: Processing the line parameters in the collector line parameters by the parametric modeling method to obtain a line model; The line model is processed by the conductor parameters in the collector line parameters to obtain a conductor model; The conductor model is processed by using the insulation parameters in the collector line parameters to obtain the collector line model.
[0090] It should be understood that when constructing a collector line model according to collector line parameters, the collector line parameters can be divided into line parameters, conductor parameters and insulation parameters. Then, the line parameters, conductor parameters and insulation parameters can be processed in sequence to obtain a collector line model.
[0091] For example, when processing line parameters, the height model of the conductor can be constructed according to the height parameters in the line parameters, and the distance between the conductors can be processed according to the span parameters and the tower structure parameters to obtain the line model. Then, the conductors in the line model can be processed according to the conductor cross-sectional parameters and material properties in the conductor parameters to obtain the conductor model. Then, the conductor model can be processed according to the insulator material parameters and the insulator geometric model in the insulation parameters to obtain the collector line model.
[0092] For example, after obtaining the first wind farm model, the first wind farm model may be optimized through an objective function to adjust relevant parameters in the first wind farm model, thereby obtaining the second wind farm model, thereby improving the accuracy of the second wind farm model.
[0093] Based on the same concept, this embodiment also discloses a device for determining a wind farm model, referring to Figure 6 , Figure 6 is a schematic diagram showing a device 600 for determining a wind farm model according to an exemplary embodiment of the present disclosure, such as Figure 6 As shown, it includes a first determination module 601, a second determination module 602, a model building module 603 and an optimization module 604; The first determination module 601 is used to determine basic parameters, modeling functions and parameter vectors of a wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling functions are used to characterize the geometric shape, structure and performance of wind power equipment in the wind farm, and the parameter vectors are used to characterize the characteristics and performance of the wind farm; The second determination module 602 is used to determine the objective function of the wind farm according to the modeling function and the parameter vector; The model building module 603 is used to build a first wind farm model corresponding to the wind farm through a parameterized modeling method according to the basic parameters; The optimization module 604 is configured to optimize the first wind farm model by using the objective function to obtain a second wind farm model of the wind farm.
[0094] Optionally, the first determining module 601 includes: A third determination module is used to determine the curve structure parameters and the surface structure parameters of the wind farm; A first processing module, configured to process the curve structure parameters by using a Bezier curve method to obtain a curve modeling function of the wind farm; A second processing module is used to process the surface structure parameters by a non-uniform rational basic spline method to obtain a surface modeling function of the wind farm; A fourth determining module is used to determine the curve modeling function and the surface modeling function as the modeling function of the wind farm.
[0095] Optionally, the second processing module is used to: The curved surface structure parameters are processed by the following calculation formula to obtain the curved surface modeling function of the wind farm;
[0096] in, is a point on the surface, and are the surface structure parameters in different directions, is the basis function in the direction of the u parameter, is the basis function in the direction of the v parameter, is the control point, is the weight, is the length of the node vector, is the number of control points.
[0097] Optionally, the parameter vector is at least one of a size parameter vector, a shape parameter vector, a material parameter vector, an operation parameter vector and a control parameter vector.
[0098] Optionally, the second determination module 602 is used to: The modeling function and the parameter vector are processed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method and an iterative method to obtain the objective function of the wind farm.
[0099] Optionally, the model building module includes: A first model building submodule is used to build a wind power equipment model corresponding to the wind farm through the parameterized modeling method according to the wind power equipment parameters in the basic parameters; A second model building submodule is used to build an on-site road model corresponding to the wind farm through the parameterized modeling method according to the on-site road parameters in the basic parameters; A third model building submodule is used to build a collector line model corresponding to the wind farm through the parameterized modeling method according to the collector line parameters in the basic parameters; The first model integration module is used to integrate the wind power equipment model, the on-site road model and the collector line model to obtain the first wind farm model.
[0100] Optionally, the first model building submodule includes: A third processing module is used to process the blade parameters in the wind power equipment parameters by at least one method selected from the curve driving method, the parameterized template method, the characteristic section method and the data fitting method in the parameterized modeling method to obtain a blade model; A fourth processing module is used to process the tower parameters in the wind power equipment parameters by using the standardized modeling method or the engineering constraint driven method in the parameterized modeling method to obtain a tower model; A fifth processing module, configured to process the wind turbine basic parameters in the wind power equipment parameters by using the finite element analysis method in the parametric modeling method to obtain a wind turbine basic model; The second model integration module is used to integrate the blade model, the tower model and the wind turbine foundation model to obtain the wind power equipment model.
[0101] Optionally, the second model building submodule includes: A sixth processing module, used for processing the horizontal and vertical curve parameters in the field road parameters by the curve generation method in the parameterized modeling method to obtain a horizontal and vertical curve model; The seventh processing module is used to process the horizontal and vertical curve models through the slope parameters and the road width parameters in the field road parameters to obtain the field road model.
[0102] Optionally, the third model building submodule includes: An eighth processing module, configured to process the line parameters in the collector line parameters by using the parameterized modeling method to obtain a line model; A ninth processing module, configured to process the line model by using the wire parameters in the collector line parameters to obtain a wire model; The tenth processing module is used to process the wire model according to the insulation parameters in the collector line parameters to obtain the collector line model.
[0103] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.
[0104] Based on the same concept, this embodiment further discloses a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for determining a wind farm model disclosed in this embodiment are implemented.
[0105] Based on the same concept, this embodiment also discloses an electronic device, including: a memory having a computer program stored thereon; The processor is used to execute the computer program in the memory to implement the steps of the method for determining the wind farm model disclosed in this embodiment.
[0106] Based on the same concept, this embodiment further discloses a computer program product, including a computer program, which implements the steps of the method for determining a wind farm model disclosed in this embodiment when executed by a processor.
[0107] Figure 7 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Figure 7 As shown, the electronic device 700 may include: a processor 701 , a memory 702 . The electronic device 700 may also include one or more of a multimedia component 703 , an input / output (I / O) interface 704 , and a communication component 705 .
[0108] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned method for determining the wind farm model. The memory 702 is used to store various types of data to support the operation of the electronic device 700. For example, these data may include instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.
[0109] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned method for determining the wind farm model.
[0110] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned method for determining a wind farm model are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions may be executed by the processor 701 of the electronic device 700 to complete the above-mentioned method for determining a wind farm model.
[0111] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.
[0112] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.
[0113] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.
Claims
1. A method for determining a wind farm model, characterized in that: include: Determine basic parameters, modeling functions and parameter vectors of the wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling functions are used to characterize the geometric shape, structure and performance of wind power equipment in the wind farm, and the parameter vectors are used to characterize the characteristics and performance of the wind farm; Determining an objective function of the wind farm according to the modeling function and the parameter vector; According to the basic parameters, constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method; The first wind farm model is optimized by using the objective function to obtain a second wind farm model of the wind farm.
2. The method for determining a wind farm model according to claim 1, characterized in that: The modeling function for determining the wind farm includes: Determining curve structure parameters and surface structure parameters of the wind farm; Processing the curve structure parameters by a Bezier curve method to obtain a curve modeling function of the wind farm; Processing the surface structure parameters by a non-uniform rational basic spline method to obtain a surface modeling function of the wind farm; The curve modeling function and the surface modeling function are determined as the modeling function of the wind farm.
3. The method for determining a wind farm model according to claim 2, characterized in that: The method of processing the surface structure parameters by using the non-uniform rational basic spline method to obtain the surface modeling function of the wind farm includes: The curved surface structure parameters are processed by the following calculation formula to obtain the curved surface modeling function of the wind farm; in, is a point on the surface, and are the surface structure parameters in different directions, is the basis function in the direction of the u parameter, is the basis function in the direction of the v parameter, is the control point, is the weight, is the length of the node vector, is the number of control points.
4. The method for determining a wind farm model according to claim 1, characterized in that: The parameter vector is at least one of a size parameter vector, a shape parameter vector, a material parameter vector, an operation parameter vector, and a control parameter vector.
5. The method for determining a wind farm model according to claim 1, characterized in that: Determining the objective function of the wind farm according to the modeling function and the parameter vector includes: The modeling function and the parameter vector are processed by at least one of a nonlinear method, a nonlinear regression analysis method, a Hardy equation method and an iterative method to obtain the objective function of the wind farm.
6. The method for determining a wind farm model according to any one of claims 1 to 5, characterized in that: The step of constructing a first wind farm model corresponding to the wind farm by a parameterized modeling method according to the basic parameters includes: According to the wind power equipment parameters in the basic parameters, constructing a wind power equipment model corresponding to the wind farm by using the parameterized modeling method; According to the on-site road parameters in the basic parameters, constructing an on-site road model corresponding to the wind farm by using the parameterized modeling method; According to the collector line parameters in the basic parameters, constructing a collector line model corresponding to the wind farm by using the parameterized modeling method; The wind power equipment model, the on-site road model and the collector line model are integrated to obtain the first wind farm model.
7. The method for determining a wind farm model according to claim 6, characterized in that: The step of constructing a wind power equipment model corresponding to the wind farm by the parametric modeling method according to the wind power equipment parameters in the basic parameters includes: Processing the blade parameters in the wind power equipment parameters by at least one of the curve driving method, the parameterized template method, the characteristic section method and the data fitting method in the parameterized modeling method to obtain a blade model; Processing the tower parameters in the wind power equipment parameters by the standardized modeling method or the engineering constraint driven method in the parametric modeling method to obtain a tower model; Processing the wind turbine basic parameters in the wind power equipment parameters by the finite element analysis method in the parametric modeling method to obtain a wind turbine basic model; The blade model, the tower model and the wind turbine foundation model are integrated to obtain the wind power equipment model.
8. The method for determining a wind farm model according to claim 6, characterized in that: The step of constructing an on-site road model corresponding to the wind farm by the parameterized modeling method according to the on-site road parameters in the basic parameters includes: Processing the horizontal and vertical curve parameters in the field road parameters by the curve generation method in the parameterized modeling method to obtain the horizontal and vertical curve models; The horizontal and vertical curve models are processed by using the slope parameter and the road width parameter in the field road parameters to obtain the field road model.
9. The method for determining a wind farm model according to claim 6, characterized in that: The step of constructing a collector line model corresponding to the wind farm by using the parameterized modeling method according to the collector line parameters in the basic parameters includes: Processing the line parameters in the collector line parameters by the parametric modeling method to obtain a line model; The line model is processed by the conductor parameters in the collector line parameters to obtain a conductor model; The conductor model is processed by using the insulation parameters in the collector line parameters to obtain the collector line model.
10. A device for determining a wind farm model, characterized in that: It includes a first determination module, a second determination module, a model building module and an optimization module; The first determination module is used to determine basic parameters, modeling functions and parameter vectors of the wind farm, wherein the basic parameters are characteristic parameters of the wind farm, the modeling function is used to characterize the geometric shape, structure and performance of the wind power equipment in the wind farm, and the parameter vector is used to characterize the characteristics and performance of the wind farm; The second determination module is used to determine the objective function of the wind farm according to the modeling function and the parameter vector; The model building module is used to build a first wind farm model corresponding to the wind farm through a parameterized modeling method according to the basic parameters; The optimization module is used to optimize the first wind farm model through the objective function to obtain a second wind farm model of the wind farm.
11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.
12. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 9.
13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.