Research On The Configuration Of HESS Capacity Allocation Of DC Microgrid Based On Improved Genetic Algorithm

With the development of the times,energy shortages and environmental problems have attracted widespread attention from countries around the world.Distributed generation technology,as a way of using renewable energy,is of great significance for solving environmental problems and making up for energy shortages.The independent microgrid has unique advantages in solving the reliability problem of power supply in remote areas and improving the utilization rate of new energy in the grid.Due to the random nature of wind energy and solar energy,hybrid energy storage systems are often needed to improve the stability of power supply in island-operated microgrids.How to achieve the purpose of saving the total investment of microgrid,improving the utilization efficiency of new energy and reliable power supply through the optimized configuration of the capacity of the hybrid energy storage system is one of the key problems that need to be solved in the current microgrid technology.Aiming at the economic and power distribution efficiency problems of the existing storage battery and supercapacitor configuration,this paper proposes a hybrid energy storage system(HESS)capacity configuration method based on improved genetic algorithm.First,it analyzes the research status of hybrid energy storage at home and abroad,and then discusses what data analysis methods are currently used by scholars for microgrid capacity allocation,how to determine the optimal target model,and how to use a suitable algorithm to solve the determined model.At the same time,the current status of hybrid energy storage technology research is discussed,which lays a theoretical foundation for future research.Secondly,the independent DC microgrid is taken as the research object,and the output model of photovoltaic power generation,wind turbine and the power model of each unit of hybrid energy storage are analyzed and established according to the characteristics of wind and photovoltaic,respectively.At the same time,the probability model of the power of each unit is established to lay the foundation for the determination of the output interval curve of each unit.Thirdly,the power distribution is performed by the filtering of the second moving average method,and the components of different frequencies are distributed according to power characteristics and energy characteristics of the lithium ion battery and the super capacitor.Through collecting historical data of light,wind speed and load,and determining the output range of photovoltaic,wind and load through mathematical statistical methods;determining the reliability index of microgrid operation and verifying the DC microgrid power distribution method with hybrid energy storage system Reliability.Finally,taking the full cycle cost of the hybrid energy storage system including operating cost and acquisition cost as the main objective function,the reliability cost isadded to the overall objective function in the form of a penalty function to establish the optimal mathematics with the common goal of economy and reliability model.The standard genetic algorithm is introduced and improved,and chaotic disturbance is used to replace random mutation to improve the system's global search capability and the accuracy of the results.Based on an actual user load,a case analysis was carried out to obtain the optimal power and capacity configuration plan for the hybrid energy storage system.The analysis and comparison show that comparing the capacity allocation strategy proposed in this paper with the control scheme,the proposed allocation method has both economical and reliable operation indicators.