A floating offshore wind farm steady-state simulation method and device, and electronic equipment

Abstract

The present invention discloses a method and device for simulating a steady-state floating offshore wind farm, as well as electronic equipment. The method comprises the following steps: establishing a wind farm wake model; establishing a wind turbine aerodynamic load model; establishing a wind farm index calculation model; establishing a quasi-static mooring system model; establishing a one-way coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model; and establishing a one-way coupling model between the quasi-static mooring system model and the wind farm index calculation model, thereby ultimately achieving steady-state simulation of the floating offshore wind farm. The method can effectively simulate the complex interactions between the wind turbine and the mooring system structure, and between the structure and the ocean wind environment, while maintaining a fast simulation speed. This method effectively overcomes the insufficiency of existing simulation methods in meeting the simulation time requirements for floating offshore wind farm control optimization, thereby effectively reducing the time and economic costs of floating offshore wind farm simulation and ensuring the feasibility and reliability of floating offshore wind farm control optimization.

Description

Technical Field

[0001] The present application relates to the field of floating offshore wind farm simulation, and specifically to a floating offshore wind farm steady-state simulation method and device, and electronic equipment. Background Art

[0002] Wind energy has gained global attention in recent years due to its clean, renewable, and widespread availability. Compared to onshore and offshore wind power, deep-sea wind power offers higher wind resource quality and less noise and visual impact, thus holding enormous potential for development.

[0003] Floating wind turbines are mainly used in deep-sea wind farms. Wind turbines are installed on floating platforms and use mooring systems to restrict the movement and position of the platforms, which makes the modeling of floating offshore wind farms more complicated.

[0004] One of the current challenges facing floating offshore wind farms is the lack of effective numerical simulation methods for their control optimization. Due to the large number of simulations required for floating offshore wind farm control optimization, current mainstream numerical simulation software consumes a lot of computing resources and takes a long time to simulate, failing to meet the simulation efficiency requirements for floating offshore wind farm control optimization. Existing numerical simulation methods for floating offshore wind farms primarily include computational fluid dynamics, multibody dynamics, and coupled simulation. These methods offer high simulation accuracy, but while some software improves simulation efficiency through specific model simplifications, they still cannot meet the simulation time requirements for floating offshore wind farm control optimization.

[0005] It can be seen that there is an urgent need for a steady-state simulation method for floating offshore wind farms with a certain fidelity and fast simulation speed for control optimization of floating offshore wind farms. Summary of the Invention

[0006] Based on this, the purpose of the embodiments of the present application is to provide a floating offshore wind farm steady-state simulation method and device, and electronic equipment to solve the technical problems existing in the background technology.

[0007] According to a first aspect of an embodiment of the present application, a method for steady-state simulation of a floating offshore wind farm is provided, comprising:

[0008] Obtain wind speed and direction measurement data and wind turbine layout location information in floating offshore wind farms, and obtain mooring system information for each wind turbine;

[0009] According to the wind speed and direction measurement data and the wind turbine layout position information, the equivalent inflow wind speed of each wind turbine in the wind farm is calculated based on the wake model, and the wind turbine aerodynamic load model and wind farm index calculation model are established based on the equivalent inflow wind speed;

[0010] Establishing a quasi-static mooring system model based on the wind turbine layout position information and the mooring system information of each wind turbine;

[0011] Establishing a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models to achieve data transmission between the two models;

[0012] establishing a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models to achieve data transmission between the two models;

[0013] A steady-state simulation of a floating offshore wind farm is performed based on the wind speed and direction measurement data, wind turbine layout position information, mooring system information of each wind turbine, a wake model, a wind turbine aerodynamic load model, a quasi-static mooring system model, a first coupling model, a wind farm index calculation model, and a second coupling model.

[0014] Optionally, in the process of establishing the aerodynamic load model of the wind turbine generator set based on the equivalent inflow wind speed, the aerodynamic load is used as the main load of the floating wind turbine generator set, and the loads of the ocean current and waves on the floating wind turbine generator set are ignored.

[0015] Optionally, the input information of the first coupling model is an aerodynamic load index, which is calculated by an aerodynamic load model of the wind turbine generator set; and the output information is the external force acting on the mooring system.

[0016] Optionally, the input information of the second coupling model is updated position information of each wind turbine generator set, which is calculated by a quasi-static mooring system model; and the output information is updated layout information of the wind farm.

[0017] Optionally, a steady-state simulation of a floating offshore wind farm is performed based on the wind speed and direction measurement data, wind turbine layout position information, mooring system information of each wind turbine, a wake model, a wind turbine aerodynamic load model, a quasi-static mooring system model, a first coupling model, a wind farm index calculation model, and a second coupling model, including:

[0018] Calculating the equivalent inflow wind speed of each wind turbine in the wind farm based on the wake model according to the wind speed and direction measurement data and the wind turbine layout location information;

[0019] According to the equivalent inflow wind speed, an aerodynamic load index is calculated using the wind turbine aerodynamic load model;

[0020] According to the aerodynamic load index, the external force acting on the mooring system is calculated using the first coupling model;

[0021] According to the external force on the mooring system, the layout position information of the wind turbines, and the mooring system information of each wind turbine, the updated position information of each wind turbine is calculated using the quasi-static mooring system model;

[0022] According to the updated position information of each wind turbine, the second coupling model is used to calculate updated layout information of the wind farm;

[0023] The wind farm index is calculated using the wind farm index calculation model according to the updated layout information of the wind farm.

[0024] According to a second aspect of an embodiment of the present application, there is provided a floating offshore wind farm steady-state simulation device, comprising:

[0025] An acquisition module is used to obtain wind speed and direction measurement data and wind turbine layout location information in a floating offshore wind farm, and obtain mooring system information for each wind turbine;

[0026] an aerodynamic load and index calculation modeling module, configured to calculate the equivalent inflow wind speed of each wind turbine in the wind farm based on the wind speed and direction measurement data and the wind turbine layout location information, and to establish an aerodynamic load model for the wind turbine and a wind farm index calculation model based on the equivalent inflow wind speed;

[0027] A mooring system modeling module is used to establish a quasi-static mooring system model based on the layout position information of the wind turbines and the mooring system information of each wind turbine;

[0028] A first coupling model establishment module is used to establish a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models, so as to realize data transmission between the two models;

[0029] a second coupling model establishment module, configured to establish a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models, so as to realize data transmission between the two models;

[0030] The simulation module is used to perform a steady-state simulation of a floating offshore wind farm based on the wind speed and direction measurement data, the wind turbine layout position information, the mooring system information of each wind turbine, the wake model, the wind turbine aerodynamic load model, the quasi-static mooring system model, the first coupling model, the wind farm index calculation model and the second coupling model.

[0031] According to a third aspect of the embodiments of the present application, there is provided an electronic device, including:

[0032] one or more processors;

[0033] a memory for storing one or more programs;

[0034] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in the first aspect.

[0035] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer instructions are stored. When the instructions are executed by a processor, the steps of the method described in the first aspect are implemented.

[0036] The technical solutions provided by the embodiments of the present application may have the following beneficial effects:

[0037] As can be seen from the above embodiments, the present application is based on the wake model and the quasi-static mooring system model. By jointly modeling the aerodynamic load indicators, wind turbine update position information, and wind farm indicators involved in the steady-state simulation of the floating offshore wind farm, data transmission between the wind turbine aerodynamic load model and the quasi-static mooring system model and data transmission between the quasi-static mooring system model and the wind farm indicator calculation model is realized, thereby obtaining a highly coupled floating offshore wind farm simulation method. This method can effectively simulate the complex interactions between the wind turbine and the mooring system structure, and between the structure and the ocean wind environment, while maintaining a fast simulation speed, effectively overcoming the problem that the existing simulation methods cannot meet the simulation time requirements of the floating offshore wind farm control optimization, thereby effectively reducing the time cost and economic cost of the floating offshore wind farm simulation, and ensuring the feasibility and reliability of the floating offshore wind farm control optimization.

[0038] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0040] Figure 1 The present invention is a flowchart of a method for steady-state simulation of a floating offshore wind farm according to an exemplary embodiment.

[0041] Figure 2 1 is a simulation result of the steady-state coordinates of a wind turbine generator using the steady-state simulation method for a floating offshore wind farm according to an exemplary embodiment:

[0042] Figure 3 1 is a simulation result of a turbulence intensity index in front of a wind turbine using the floating offshore wind farm steady-state simulation method according to an exemplary embodiment:

[0043] Figure 4 1 is a simulation result of a power generation index of each wind turbine using the floating offshore wind farm steady-state simulation method according to an exemplary embodiment:

[0044] Figure 5 The present invention is a block diagram of a floating offshore wind farm steady-state simulation device according to an exemplary embodiment. DETAILED DESCRIPTION

[0045] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0046] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0047] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the term "if" as used herein may be interpreted as "when" or "when..."

[0048] Figure 1 FIG. 1 is a flow chart showing a method for simulating a floating offshore wind farm steady state according to an exemplary embodiment. Figure 1 As shown, the following steps may be included:

[0049] S1: Obtain wind speed and direction measurement data and wind turbine layout information in the floating offshore wind farm, and obtain mooring system information for each wind turbine;

[0050] S2: Calculating the equivalent inflow wind speed of each wind turbine in the wind farm based on the wake model according to the wind speed and direction measurement data and the wind turbine layout location information, and establishing a wind turbine aerodynamic load model and a wind farm index calculation model based on the equivalent inflow wind speed;

[0051] S3: establishing a quasi-static mooring system model according to the wind turbine layout position information and the mooring system information of each wind turbine;

[0052] S4: establishing a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models to achieve data transmission between the two models;

[0053] S5: establishing a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models to achieve data transmission between the two models;

[0054] S6: Perform a steady-state simulation of the floating offshore wind farm based on the wind speed and direction measurement data, the wind turbine layout position information, the mooring system information of each wind turbine, the wake model, the wind turbine aerodynamic load model, the quasi-static mooring system model, the first coupling model, the wind farm index calculation model, and the second coupling model.

[0055] As can be seen from the above embodiments, the present application is based on the wake model and the quasi-static mooring system model. By jointly modeling the aerodynamic load indicators, wind turbine update position information, and wind farm indicators involved in the steady-state simulation of the floating offshore wind farm, data transmission between the wind turbine aerodynamic load model and the quasi-static mooring system model and data transmission between the quasi-static mooring system model and the wind farm indicator calculation model is realized, thereby obtaining a highly coupled floating offshore wind farm simulation method. This method can effectively simulate the complex interactions between the wind turbine and the mooring system structure, and between the structure and the ocean wind environment, while maintaining a fast simulation speed, effectively overcoming the problem that the existing simulation methods cannot meet the simulation time requirements of the floating offshore wind farm control optimization, thereby effectively reducing the time cost and economic cost of the floating offshore wind farm simulation, and ensuring the feasibility and reliability of the floating offshore wind farm control optimization.

[0056] In the specific implementation of S1: obtaining wind speed and direction measurement data and wind turbine layout position information in the floating offshore wind farm, and obtaining mooring system information of each wind turbine;

[0057] Specifically, the above embodiment performs multi-objective optimization on a floating offshore wind farm. Six OC4-DeepCWind semi-submersible floating wind turbines with a rated power of 5 MW, a rotor diameter of 126 m, and a turbine spacing of 5D are installed within the 2×3 rectangular arrangement of the floating offshore wind farm. Assuming the prevailing wind direction for the wind farm is westerly, and considering that floating wind turbines can experience significant displacement when the ambient wind speed approaches the rated wind speed of the wind turbines, a steady-state motion simulation of the floating offshore wind farm is performed under the assumption that the ambient wind direction is 270° westerly and the wind speed is 8 m / s.

[0058] In a specific implementation of S2: according to the wind speed and direction measurement data and the wind turbine layout position information, the equivalent inflow wind speed of each wind turbine in the wind farm is calculated based on the wake model, and the wind turbine aerodynamic load model and the wind farm index calculation model are established based on the equivalent inflow wind speed;

[0059] Specifically, the equivalent inflow wind speed V in front of each wind turbine is calculated based on the wind speed distribution in the wind farm. i for:

[0060]

[0061] Among them, U ∞ is the free flow velocity, V j,i is the wake wind speed of the j-th wind turbine at the i-th wind turbine, m is the number of wind turbines that affect the wind speed at the i-th wind turbine. According to the Gaussian wake model, V j,i The calculation formula is:

[0062]

[0063] Where C(x) is the maximum normalized velocity loss at a given downstream distance x, r is the radius from the rotor center, and σ x is the standard deviation of the Gaussian velocity loss behind the fan blade at a given downstream distance x, D is the fan blade diameter, and C T is the fan thrust coefficient.

[0064] Specifically, the aerodynamic load model of the wind turbine acting on the wind turbine is established based on the equivalent inflow wind speed:

[0065]

[0066] Among them, T i is the wind thrust acting on the hub of the i-th wind turbine, A i is the swept area of ​​the wind turbine rotor, ρ is the air density, V i is the equivalent inflow wind speed of the i-th wind turbine, C Tis the wind thrust coefficient of the wind turbine, M i is the wind torque acting on the hub of the i-th wind turbine, and l is the vertical distance between the hub of the wind rotor and the center of gravity of the floating wind turbine.

[0067] Specifically, the wind farm index calculation model includes a power generation model of each wind turbine and a turbulence intensity model in front of the wind turbine. The power generation index of each wind turbine is calculated based on the power generation model of each wind turbine, and the turbulence intensity index in front of each wind turbine is calculated based on the turbulence intensity model in front of the wind turbine. The power generation model of the wind turbine is:

[0068]

[0069] Among them, P i is the power generation of the i-th wind turbine, ρ is the air density, A i is the swept area of ​​the wind turbine rotor, V in 、V out 、V rated They are cut-in wind speed, cut-out wind speed and rated wind speed, is the rated power of the i-th wind turbine, is the power coefficient of the i-th wind turbine, and the power coefficient According to the wind turbine power curve table specified for a given wind turbine type, V i is the equivalent inflow wind speed of the i-th wind turbine, and the equivalent inflow wind speed V i Calculated based on the wake model.

[0070] Specifically, the turbulence intensity model in front of the wind turbine adopts the Crespo-Hernandez turbulence model to calculate the additional turbulence intensity change caused by the operation of the wind turbine in the wind farm. The increased turbulence intensity value ΔI at the downstream of the wind turbine is m (x) is:

[0071]

[0072] Where a is the induced velocity factor, I ∞ is the ambient turbulence intensity, D is the fan blade diameter, Δu0 is the initial velocity loss in the expansion wake, U ∞ is the ambient wind speed at the turbine hub height.

[0073] In a specific implementation of S3: establishing a quasi-static mooring system model according to the wind turbine layout position information and the mooring system information of each wind turbine;

[0074] The quasi-static mooring system model can reflect the restrictive effect of the mooring line on the displacement and attitude of the floating body to a certain extent, thereby simplifying the system model, reducing the computational complexity and improving the computational efficiency.

[0075] In a specific implementation of S4: according to the wind turbine aerodynamic load model and the quasi-static mooring system model, a first coupling model is established between the two models to achieve data transmission between the two models;

[0076] Specifically, the first coupling model extracts aerodynamic load indicators from the wind turbine aerodynamic load model to calculate the external forces acting on the mooring system. The first coupling model can extract aerodynamic load indicators at any time and convert them into external forces acting on the mooring system in six degrees of freedom. The aerodynamic load indicators are then transferred to the quasi-static mooring system model, ensuring reliable data transmission between the wind turbine aerodynamic load model and the quasi-static mooring system model.

[0077] In a specific implementation of S5: according to the quasi-static mooring system model and the wind farm index calculation model, a second coupling model is established between the two models to achieve data transmission between the two models;

[0078] Specifically, the second coupling model obtains updated position information for each wind turbine from the quasi-static mooring system model to calculate updated layout information for the wind farm. The second coupling model can extract updated position information for each wind turbine at any time, integrate it into updated wind farm layout information, and transmit it to the wind farm index calculation model, ensuring reliable data transmission between the quasi-static mooring system model and the wind farm index calculation model.

[0079] In a specific implementation of S6: performing a steady-state simulation of a floating offshore wind farm based on the wind speed and direction measurement data, the wind turbine layout position information, the mooring system information of each wind turbine, the wake model, the wind turbine aerodynamic load model, the quasi-static mooring system model, the first coupling model, the wind farm index calculation model, and the second coupling model;

[0080] Specifically, the first coupling model unidirectionally couples the wind turbine aerodynamic load model and the quasi-static mooring system model, and the input of the quasi-static mooring system model depends on the output of the wind turbine aerodynamic load model; the second coupling model unidirectionally couples the quasi-static mooring system model and the wind farm index calculation model, and the input of the wind farm index calculation model depends on the output of the quasi-static mooring system model.

[0081] This step specifically includes the following sub-steps:

[0082] S61: Calculating the equivalent inflow wind speed of each wind turbine in the wind farm based on the wake model according to the wind speed and direction measurement data and the wind turbine layout position information;

[0083] Specifically, the ambient wind direction is 270° westerly, the ambient wind speed is 8 m / s, the floating wind turbines OC4-DeepCWind are arranged in a 2×3 rectangular pattern, and the turbine spacing is 5D. The Gaussian wake model has a simple mathematical form and low computational complexity, making it suitable for quickly estimating the flow field conditions of a wind farm. The wake velocity distribution of the wind turbines is calculated based on the Gaussian wake model, and the equivalent inflow wind speed of each wind turbine is obtained, thereby providing input information for the aerodynamic load model of the wind turbines.

[0084] S62: Calculating an aerodynamic load index using the wind turbine generator set aerodynamic load model according to the equivalent inflow wind speed;

[0085] Specifically, the aerodynamic load index of the wind turbine acting on the wind turbine is T i and M i , calculated by the aerodynamic load model, where T i is the wind thrust acting on the hub of the i-th wind turbine, M i is the wind moment M acting on the hub of the i-th wind turbine i , and the aerodynamic load index is obtained to provide input information for the first coupling model.

[0086] S63: Calculate the external force on the mooring system using the first coupling model according to the aerodynamic load index;

[0087] The first coupling model obtains the aerodynamic load index from the wind turbine aerodynamic load model to calculate the external force on the mooring system. i and M i , and converted into the external force acting on the mooring system with six degrees of freedom, providing input information for the quasi-static mooring system model.

[0088] S64: Calculating updated position information of each wind turbine using the quasi-static mooring system model according to the external force applied to the mooring system, the layout position information of the wind turbines, and the mooring system information of each wind turbine;

[0089] Specifically, a quasi-static mooring system model was established using MoorPy software. This software is a design-oriented Python mooring system toolset based on a quasi-static modeling approach. Its core model supports quasi-static analysis of mooring cables and floating platforms, and can automatically calculate the equilibrium state of the floating platform. The updated position information of each wind turbine is obtained to provide input information for the second coupled model.

[0090] S65: Calculating updated layout information of the wind farm using the second coupling model according to the updated position information of each wind turbine;

[0091] Specifically, the second coupling model obtains updated position information of each wind turbine from the quasi-static mooring system model, integrates it into updated layout information of the wind farm, and transmits it to the wind farm index calculation model to provide input information for the wind farm index calculation model.

[0092] S66: Calculating wind farm indicators using the wind farm indicator calculation model according to the updated layout information of the wind farm;

[0093] Specifically, the power generation index of each wind turbine is calculated according to the power generation model of the wind turbine in the wind farm index calculation model, and the turbulence intensity index in front of each wind turbine is calculated according to the turbulence intensity model in front of the wind turbine in the wind farm index calculation model, so as to obtain the simulation index of the wind farm.

[0094] Figure 2 The following is a simulation result of the steady-state coordinates of the wind turbine using the floating offshore wind farm steady-state simulation method:

[0095] Figure 3 The following are simulation results of the turbulence intensity index in front of the wind turbine using the steady-state simulation method for a floating offshore wind farm:

[0096] Figure 4 This is a simulation result of the power generation index of each wind turbine using the floating offshore wind farm steady-state simulation method:

[0097] The present invention provides a floating offshore wind farm steady-state simulation method that completes the simulation calculations of the above-mentioned embodiment within 1.36 seconds, obtaining the steady-state coordinates of the floating wind turbines, the turbulence intensity index in front of the wind turbines, and the power generation index of each wind turbine. The method has a fast calculation speed and can meet the simulation time requirements for floating offshore wind farm control optimization.

[0098] Corresponding to the aforementioned embodiment of a floating offshore wind farm steady-state simulation method, the present application also provides an embodiment of a floating offshore wind farm steady-state simulation device.

[0099] Figure 5 FIG1 is a block diagram of a steady-state simulation device for a floating offshore wind farm according to an exemplary embodiment. Figure 5 , the device comprises:

[0100] Acquisition module 1 is used to obtain wind speed and direction measurement data and wind turbine layout location information in a floating offshore wind farm, and obtain mooring system information of each wind turbine;

[0101] an aerodynamic load and index calculation modeling module, configured to calculate the equivalent inflow wind speed of each wind turbine in the wind farm based on the wind speed and direction measurement data and the wind turbine layout position information 2, and to establish an aerodynamic load model for the wind turbine and a wind farm index calculation model based on the equivalent inflow wind speed;

[0102] A mooring system modeling module 3 is configured to establish a quasi-static mooring system model based on the wind turbine layout information and the mooring system information of each wind turbine;

[0103] A first coupling model establishment module 4 is configured to establish a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models, so as to realize data transmission between the two models;

[0104] A second coupling model establishment module 5 is configured to establish a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models, so as to realize data transmission between the two models;

[0105] The simulation module 6 is used to perform a steady-state simulation of the floating offshore wind farm based on the wind speed and direction measurement data, the wind turbine layout position information, the mooring system information of each wind turbine, the wake model, the wind turbine aerodynamic load model, the quasi-static mooring system model, the first coupling model, the wind farm index calculation model and the second coupling model.

[0106] Regarding the apparatus 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.

[0107] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0108] Accordingly, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement a floating offshore wind farm steady-state simulation method as described above.

[0109] Accordingly, the present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the above-mentioned method for steady-state simulation of a floating offshore wind farm.

[0110] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the contents disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present application are indicated by the claims.

[0111] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for steady-state simulation of a floating offshore wind farm, characterized in that: include: Obtain wind speed and direction measurement data and wind turbine layout location information in floating offshore wind farms, and obtain mooring system information for each wind turbine; According to the wind speed and direction measurement data and the wind turbine layout position information, the equivalent inflow wind speed of each wind turbine in the wind farm is calculated based on the wake model, and the wind turbine aerodynamic load model and wind farm index calculation model are established based on the equivalent inflow wind speed; Establishing a quasi-static mooring system model based on the wind turbine layout position information and the mooring system information of each wind turbine; Establishing a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models to achieve data transmission between the two models; establishing a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models to achieve data transmission between the two models; A steady-state simulation of a floating offshore wind farm is performed based on the wind speed and direction measurement data, wind turbine layout position information, mooring system information of each wind turbine, a wake model, a wind turbine aerodynamic load model, a quasi-static mooring system model, a first coupling model, a wind farm index calculation model, and a second coupling model.

2. The method according to claim 1, characterized in that In the process of establishing the wind turbine aerodynamic load model based on the equivalent inflow wind speed, the aerodynamic load is taken as the main load of the floating wind turbine, and the loads of the ocean current and waves on the floating wind turbine are ignored.

3. A floating offshore wind farm steady-state simulation method according to claim 1, characterized in that: The input information of the first coupling model is the aerodynamic load index, which is calculated by the aerodynamic load model of the wind turbine generator set; the output information is the external force applied to the mooring system.

4. The method according to claim 1, wherein The input information of the second coupling model is the updated position information of each wind turbine generator set, which is calculated by the quasi-static mooring system model; and the output information is the updated layout information of the wind farm.

5. The method according to claim 1, wherein A steady-state simulation of a floating offshore wind farm is performed based on the wind speed and direction measurement data, wind turbine layout position information, mooring system information of each wind turbine, a wake model, a wind turbine aerodynamic load model, a quasi-static mooring system model, a first coupling model, a wind farm index calculation model, and a second coupling model, including: Calculating the equivalent inflow wind speed of each wind turbine in the wind farm based on the wake model according to the wind speed and direction measurement data and the wind turbine layout location information; According to the equivalent inflow wind speed, an aerodynamic load index is calculated using the wind turbine aerodynamic load model; According to the aerodynamic load index, the external force acting on the mooring system is calculated using the first coupling model; According to the external force on the mooring system, the layout position information of the wind turbines, and the mooring system information of each wind turbine, the updated position information of each wind turbine is calculated using the quasi-static mooring system model; According to the updated position information of each wind turbine, the second coupling model is used to calculate updated layout information of the wind farm; The wind farm index is calculated using the wind farm index calculation model according to the updated layout information of the wind farm.

6. A floating offshore wind farm steady-state simulation device, characterized in that: include: An acquisition module is used to obtain wind speed and direction measurement data and wind turbine layout location information in a floating offshore wind farm, and obtain mooring system information for each wind turbine; an aerodynamic load and index calculation modeling module, configured to calculate the equivalent inflow wind speed of each wind turbine in the wind farm based on the wind speed and direction measurement data and the wind turbine layout location information, and to establish an aerodynamic load model for the wind turbine and a wind farm index calculation model based on the equivalent inflow wind speed; A mooring system modeling module is used to establish a quasi-static mooring system model based on the layout position information of the wind turbines and the mooring system information of each wind turbine; A first coupling model establishment module is used to establish a first coupling model between the wind turbine aerodynamic load model and the quasi-static mooring system model according to the two models, so as to realize data transmission between the two models; a second coupling model establishment module, configured to establish a second coupling model between the quasi-static mooring system model and the wind farm index calculation model according to the two models, so as to realize data transmission between the two models; The simulation module is used to perform a steady-state simulation of a floating offshore wind farm based on the wind speed and direction measurement data, the wind turbine layout position information, the mooring system information of each wind turbine, the wake model, the wind turbine aerodynamic load model, the quasi-static mooring system model, the first coupling model, the wind farm index calculation model and the second coupling model.

7. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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