Photovoltaic Power Generation MPPT Based On Particle Swarm Optimization-bacterial Foraging Algorithm

Photovoltaic power generation,as a very important form of energy conversion,has become a highly valued technology development direction at home and abroad.However,its power generation efficiency is one of the important problems that restrict the rapid development of photovoltaic power generation system.Therefore,it is very important to study the maximum power point tracking(MPPT)problem.At present,researchers at home and abroad have proposed many scientific algorithms in MPPT control strategy.These algorithms generally have some problems,such as low output power,slow convergence speed and low tracking accuracy.Therefore,for many existing problems,this paper will be based on the hybrid algorithm of particle swarm optimization and bacterial foraging,and will be applied to the MPPT of photovoltaic arrays.According to the internal structure,basic principle and mathematical model of photovoltaic cell,the photovoltaic cell model is built by MATLAB/Simulink software.The characteristic curves of I-U and P-U of photovoltaic cells under different irradiance and temperature were simulated and analyzed by using photovoltaic cell model.Based on the analysis of the output characteristics of photovoltaic cells,the MPPT control strategy and improvement method are studied.In this paper,the design scheme based on particle swarm optimization(PSO)algorithm control strategy is adopted,and its design scheme is verified.The control strategy can quickly and accurately locate the global maximum power point(MPP)of photovoltaic power generation system.The perturbed and observation(P&O)algorithm and increment conductance(INC)algorithm are introduced respectively.The MPPT control scheme based on PSO-P&O algorithm and the MPPT control scheme based on PSO-INC algorithm are designed,and the tracking effects are compared and analyzed.In view of the shortcomings of the traditional algorithm,this paper focuses on the introduction of bacterial foraging(BF)algorithm to propose a MPPT design scheme based on PSO-BF algorithm coordinated control of photovoltaic power generation system.The design process of the scheme is analyzed in detail,and the design scheme of the controller is verified by MATLAB/Simulink simulation software.The results show that the MPPT control system based on PSO-P&O algorithm can converge to the global MPP quickly,but there is still a large oscillation near MPP,resulting in power loss.In the MPPT control system based on PSO-INC algorithm,the algorithm can converge near the global MPP without obvious oscillation,but its convergence speed is lower than that of PSO-P&O algorithm.The MPPT control system based on PSO-BF algorithm can converge to the global MPP quickly.The algorithm is superior to PSO algorithm in convergence and tracking accuracy,and the optimization ability of PSO-BF algorithm in global MPP is obviously better than that of BF algorithm.Compared with PSO-P&O algorithm,PSO-BF algorithm has no obvious oscillation near MPP.The convergence speed of PSO-BF algorithm is better than that of PSO-INC algorithm.And the design scheme in the MPPT control process,its tracking time is controlled within 0.05 s.Therefore,the MPPT controller designed in this paper can effectively ensure the stability of the output of photovoltaic system,and can better ensure the maximization of efficiency and the tracking accuracy of the algorithm.Figure [59] Reference [63] Table [2]...