Research And Hardware Implementation Of MPPT Algorithm Based On Voltage Closed Loop Control And Fuzzy Control

Photovoltaic power generation is one of the main technologies to convert solar energy into electrical energy.Independent photovoltaic system is mainly composed of solar cell,DC/DC converter circuit,system controller and its load.By the dust blocking,temperature and weather effects of mutations and other unpredictable environmental factors,the PV array will appear local shadow,in the shadow of local situation will lead to the PV array parts working in a different state,the P-V characteristic curve of PV array will present multiple peak condition.In order to solve problem of the common maximum power tracking(MPPT)algorithm to track the time is long,easy to fall into local optimum,and the particle warm optimization algorithm in the tracking process produces overshoot in case of partial shading,this paper presents a MPPT algorithm based on fuzzy control and voltage closed-loop control,the algorithm not only solves the problem of overshoot the conventional algorithm falling into local optimal value and particle swarm algorithm in the tracking process,and the global common scan algorithm to improve the convergence rate of MPPT.Firstly,the research status of photovoltaic MPPT controller is analyzed.The output of photovoltaic cells at three different temperatures is simulated under the ideal external environment.Photovoltaic of 3×3(SP)is used to build the photovoltaic array,and the output characteristics of PV array are simulated under the condition of local shadow.The operating principle of the DC/DC boost circuit in current continuous and discontinuous mode is analyzed,and the selection and parameter calculation of the boost circuit are presented.Secondly,on the basis of Simulink,a simulation model of independent photovoltaic control system based on Boost is built.The simulation results show that the MPPT algorithm,such as the perturbation observation method,the conductance increment method,the fuzzy algorithm and the particle swarm optimization algorithm.With reference to[43],optimization the fuzzy control of particle swarm optimization MPPT algorithm is realized.The limitations of the commonly used MPPT algorithm in the local shadow scenario of PV array are analyzed.Then,the MPPT algorithm based on the voltage closed loop control and fuzzy control is simulated under the condition of partial shadow of the PV array.Through the Matlab simulation,the voltage tracking effect of the voltage closed-loop control is verified,and the advantages of the proposed algorithm and the MPPT algorithm of voltage closed-loop control and disturbance observer are compared and analyzed.Finally,Based on the photovoltaic simulator was built using DSP as the core of photovoltaic control system hardware platform,and realizes the voltage closed-loop control and fuzzy control MPPT algorithm and particle swarm algorithm based on the hardware platform,verify the feasibility of the algorithm.