Research On Maximum Power Tracking Control Strategy Of Photovoltaic System Under Local Shadow Condition

With the development of photovoltaic industry,the problems caused by the actual complex environment need to be effectively solved,Under the condition of local shadow,the output characteristic curve of photovoltaic array has strong nonlinearity,and it is a number of extreme points.If the traditional maximum power tracking control method is applied,optimization failure will occur,resulting in serious power waste and economic loss.In this paper,the maximum power tracking control strategy of photovoltaic system research has practical value and significance.According to the mathematical model of photovoltaic cell,MATLAB/simulink was used to build the simulation model,and the output characteristics of photovoltaic module under different light intensity,temperature and local shadow conditions were simulated and analyzed,and the parameter relationship of photovoltaic module model was theoretically deduced.The photovoltaic MPPT control based on Beetle Antennae Search Algorithm(BAS)is proposed and implemented.In order to further optimize the control effect,an efficient MPPT control algorithm is proposed.This method is based on the BAS algorithm.By introducing the time-varying adaptive step size factor,the larger step size is automatically selected at the beginning to maintain the higher global search ability,and then the attenuation speed of step size is gradually increased to accelerate the convergence of the algorithm,in the later period,the attenuation speed of step size is gradually reduced to improve the convergence accuracy.The results of classical test function show that the algorithm has faster searching speed,higher search precision and higher stability.The photovoltaic maximum power tracking control of adaptive BAS algorithm is proposed and implemented,and compared with the control results of traditional methods,particle swarm optimization(PSO)and basic BAS algorithm.The research results show that the adaptive BAS algorithm effectively reduces the search time and search oscillation,and can accurately search the photovoltaic maximum output power.In the case of illumination mutation,the global maximum power point can be quickly tracked.