Evaluation Method And Application Of Photovoltaic Maximum Power Point Tracking Control Performance

With the rapid development of the application of solar energy in photovoltaic power generation industry,photovoltaic power generation technology is becoming more and more mature,but there are still some problems about photovoltaic power generation efficiency.Therefore,the issue of Maximum Power Point Tracking(MPPT)for photovoltaic power generation systems is still a hot and difficult issue.This paper mainly studies the Maximum Power Point Tracking system and the Maximum Power Point Tracking control process of photovoltaic power generation system,as well as the Maximum Power Point Tracking control method and its performance evaluation method.The main contents and innovations of this paper are as follows:Firstly,the photovoltaic power generation system and the basic working principle of photovoltaic cells are analyzed,the mathematical model of photovoltaic cells is given,and the numerical simulation is established according to the mathematical model of photovoltaic cells,and the output characteristics of photovoltaic cells and photovoltaic cell arrays are analyzed.Then the principle of Maximum Power Point Tracking control for photovoltaic power generation is analyzed,and the model of Maximum Power Point Tracking control circuit for photovoltaic power generation system and the mathematical model of DC/DC circuit in the control circuit model are given.By analyzing the control circuit model,it is pointed out that the Maximum Power Point Tracking of photovoltaic power generation system is a closed loop feedback control process,and the tracking control method is only a power feedback link in the Maximum Power Point Tracking control.Finally,a numerical simulation system of photovoltaic power generation Maximum Power Point Tracking control is built for the research and performance analysis of photovoltaic power generation Maximum Power Point Tracking control method.Secondly,in order to make up for the problem that there is no perfect performance evaluation for the tracking results of various tracking control methods on the Maximum Power Point Tracking of photovoltaic power generation systems,this paper proposes performance evaluation indexes and comprehensive performance evaluation methods to objectively compare and analyze the performance of the tracking results of various Maximum Power Point Tracking control methods.Thirdly,the classical Maximum Power Point Tracking control method is introduced and analyzed,and the classical tracking control method is implemented in numerical simulation system and practical engineering.Through the performance evaluation index and evaluation method in this paper,the tracking control performance of the classical Maximum Power PointTracking control method is evaluated and analyzed.Fourthly,the tracking performance of the Maximum Power Point Tracking control method of swarm intelligence algorithm represented by particle swarm is analyzed.By analyzing the tracking control performance of the standard particle swarm optimization tracking control method,it is found that the particle swarm optimization tracking control method has defects in performance indexes.Therefore,according to the performance analysis,the particle swarm tracking control method is improved,and the feasibility of the improved tracking control method is verified through the simulation experiment platform and actual engineering equipment.Finally,the performances of the three particle swarm tracking control methods are comprehensively compared,and a conclusion is obtained through analysis that the improved particle swarm tracking control method has been improved in performance.