Research On The Maximum Power Point Tracking Strategy Of Photovoltaic Power Generation System

With the technological progress,photovoltaic power generation industry ushered in a rapid development period.Although the relevant industry chain has become more mature,but the problem of low efficiency of PV power generation has not been improved.In order to improve the performance of PV power generation system to ensure that it has the largest output power in different environments,the need for photovoltaic cells to maximize the power point tracking control.The traditional maximum power point tracking method is not suitable for the Partial shade condition,and the standard particle swarm algorithm has the problem that the tracking precision is not high and it is easy to converge to the local extreme point.Aiming at this problem,this paper proposes an improved Chaotic Levy Flight Particle Swarm Optimization algorithm to improve the accuracy of the maximum power point tracking of photovoltaic power generation system and realize the maximization and utilization of solar energy.Firstly,the mathematical model and structure of the photovoltaic cell are briefly introduced,and the output characteristics of the no-shadowed and part-shadowed conditions are analyzed.This paper introduces the algorithms of the current maximum power point tracking and analyzes their advantages and disadvantages.Secondly,the Levy flight particle swarm algorithm is introduced into the maximum power point tracking of the photovoltaic power generation system to improve the accuracy of the control.A new Levy flight criterion is proposed,which can significantly reduce the control time of the algorithm and save the power lost in the control process.A new algorithm of CLFPSO algorithm is proposed.The termination condition of the algorithm is improved,and the algorithm is terminated at the time when the probability of finding the new optimal point is not reached.Finally,the modeling of the simulation system used in this paper is introduced,and the simulation operation of the photovoltaic power generation system under different conditions is carried out.The simulation results show that the new algorithm can adapt to the maximum power point tracking requirements in different environments,and has good performance.