Maximum Power Point Tracking Of Photovoltaic Power Station Partial Shadow Based On Improved Particle Swarm Optimization Algorithm

Nowadays,traditional fossil energy is over-exploited and the storage capacity is gradually reduced.Because traditional fossil energy is a primary energy source,it can no longer meet the needs of human sustainable development.The use and exploitation of fossil energy will also have a serious impact on the environment.For this reason,the development of pollution-free and renewable clean energy such as photovoltaic and wind energy,as solar energy resources are extremely abundant,has great development potential and value.The thesis takes the MPPT tracking algorithm under partial shadow as the research object.First,it introduces the development status of photovoltaics and the research background at home and abroad,expounds the related theories of photovoltaic systems,and analyzes the current research status of MPPT control algorithms.Then,the generation principle of solar photovoltaic cells is introduced,and the mathematical model and simulation model of photovoltaic cells are established.The output characteristics of photovoltaic cells and the output characteristics of photovoltaic array under partial shadow are simulated and analyzed.And some commonly used maximum power tracking methods are described.In addition,the mathematical model of photovoltaic array under partial shadow is established to analyze a special case of its output characteristics,and the output characteristics are analyzed by MATLAB software.Secondly,the MPPT tracking technology of photovoltaic array with multi peak is studied,and the application of QPSO algorithm based on chaos optimization algorithm in MPPT tracking is studied.The control system of MPPT with multi peak value is designed to verify the performance of the quantum particle swarm optimization algorithm of chaos optimization algorithm,and the simulation results under different lighting conditions are compared and analyzed,The stability of ldqpso MPPT algorithm is verified.Finally,based on the photovoltaic power station of Jinhaihu Industrial Park,the influence of different power output of photovoltaic power station on the operation of distribution network under partial shadow is studied.The power flow calculation equation of the radial distribution network is established,and the mathematical model of the distribution network is established by using the second-order cone optimization theory.The influence of using different algorithms in the photovoltaic array on the network loss and voltage of the distribution network is described.