Research On Intelligent Optimization Method Of Turbines Substructure Based On Chaos Cloud FOA And ANSYS

With the introduction of the double-carbon target,wind turbines have developed rapidly in China.Compared with onshore wind energy,offshore wind energy resources are more abundant,and the power generation center is close to the power load center.China is already the country with the largest installed wind turbines.At present,the foundation of offshore wind turbines accounts for a large proportion of the total cost of wind turbines.The excessively high cost of the foundation limits the development of offshore wind turbines.Therefore,this paper optimizes the structure of offshore wind turbine foundations to give full play to the performance of materials and reduce basic costs.This article focuses on the optimization method of the four-pile jacket substructures for offshore wind turbines.The main research contents are as follows:(1)The calculation methods of wind load,wave load,ocean current load,etc.and the theory of pile-soil P-Y effect on offshore wind turbines in the marine environment are systematically analyzed.For the engineering conditions of a wind farm in Jiangsu,refer to the5 MW wind turbine of National Renewable Energy Laboratory,preliminary design of the fourpile jacket foundation for offshore wind turbines;establish a finite element model of the foundation in ANSYS software,perform static analysis and modal analysis under different load combinations,and determine the most dangerous conditions according to stress and displacement,And carry out structural checks on the most dangerous working conditions,which provide a basis for the structural optimization design of the four-pile jacket foundation of offshore wind turbines.(2)Because of the shortcomings of get the optimal value difficulty and poor search capabilities of Fruit Fly Optimization Algorithm(FOA),FOA is improved.The Logistics chaotic theory is introduced when the fruit fly is initializing the population,so do the normal cloud model when the Fly Optimization Algorithm is in the loop.The normal cloud distribution model is introduced,and the Chaos Cloud Fruit Fly Optimization Algorithm(CCFOA)is proposed.(3)Aiming at the difficulty of inputting design variables and extracting post-processing results when ANSYS performs finite element analysis on the four-pile jacket foundation of offshore wind turbines,based on the feature that ANSYS can use APDL language for secondary development,the bath mode is used to analyze the substructures of the wind turbine.After parametric modeling,finite element analysis is carried out,and the CCFOA algorithm realized by programming is used for data interaction with ANSYS to construct the ANSYS-CCFOA structural optimization method.(4)Based on the structural optimization theory,the optimized basic parameters are proposed,and the optimization model of the four-pile jacket structures of the offshore wind turbine is established.The ANSYS-CCFOA optimization method is used to optimize the fourpile jacket structures of the offshore wind turbine,and the optimization results are brought with ANSYS.The optimization performance of the zero-order optimization method,the first-order optimization method,and the ANSYS-FOA optimization method are compared,which proves the superiority of the ANSYS-CCFOA optimization method and provides a new method for the optimization design of offshore wind turbine substructures.