Research On Energy Storage Optimization Of Wind Solar Complementary Power Generation System Based On Improved Genetic Algorithm

China’s energy structure is changing towards diversification,with the proportion of traditional energy declining and the proportion of clean energy rising.Wind and light are the most widely used clean energy.In China,wind power generation and photovoltaic power generation are more and more widely used.In order to realize its economic and environmental benefits,more wind-solar complementary power generation systems will be integrated into the national public grid.In this context,how to make the wind-solar complementary power generation system more safe and reliable,more stable energy storage,and more economical system cost has naturally become a focus of research.The reasonable allocation of system energy storage capacity is very important to ensure the reliability of power generation system.This paper optimizes the energy storage capacity of wind-solar complementary power generation system,reasonably distributes the unit capacity of hybrid energy storage of battery and supercapacitor,and enhances the continuity and reliability of power generation system.Firstly,the composition and structure of wind-solar hybrid power generation system are studied and analyzed.Compare and analyze the different characteristics of different energy storage modes,and compare the performance of battery energy storage and supercapacitor energy storage separately.The mathematical model of hybrid energy storage system of lead-acid battery and supercapacitor is obtained.Secondly,the full life cycle cost model of wind-solar hybrid power generation system is established.With the minimum life cycle cost as the objective function,the energy balance,the storage capacity and power of the battery,the storage capacity and power of the supercapacitor as the constraints,and the energy loss rate and energy loss rate as the reliability indicators,the model was established.Using Matlab to improve the traditional genetic algorithm.Annealing algorithm was used for selection,segmental crossover and segmental variation.The energy storage capacity of wind-solar hybrid power generation system is optimized.Thirdly,the relevant parameter data of the wind-solar complementary power generation system in xining,qinghai are given.According to the data of light radiation and wind speed obtained from xining by China meteorological administration,the data of light radiation and wind speed,output power of wind generator and solar panel,and load demand power were calculated through data processing.Through the process of traditional genetic algorithm and the process of improved genetic algorithm,the optimization results are obtained,and the comparative analysis is carried out to draw the conclusion.To sum up,this paper establishes the life-cycle cost model of wind-solar complementary power generation system,optimizes the allocation of energy storage capacity of wind-solar complementary power generation system,and provides guiding ideas and methods for practical application.In addition,the feasibility of the proposed model is verified by an example.Compared with the traditional method,the energy loss rate and energy loss rate of the power generation system in the improved genetic algorithm are reduced and the cost is more economical.