Research On Maximum Power Point Tracking Control Strategy Based On Output Characteristics Of Photovoltaic Array

The increasing shortage of energy and the continuous deterioration of the global environment have made the development and utilization of clean energy the main direction of the current energy strategy.Solar energy has attracted worldwide attention due to its cleanliness and advantages of renewable energy.In order to maximize the use of solar energy,the research on the maximum power point tracking technology of photovoltaic power generation is very important.This article first briefly introduces the research background and significance of solar photovoltaic power generation,and explains the development status and prospects of photovoltaic power generation at home and abroad.Analyze the composition of photovoltaic power generation system,build a mathematical model of photovoltaic cells,use the simulation platform to simulate and study U-I and U-P under uniform lighting conditions,and simulate and analyze U-I and U-P under non-uniform lighting conditions to master The effects of light intensity and temperature changes on the output voltage,output current and output power of photovoltaic cells are discussed.Secondly,the main circuit of the photovoltaic power generation system is studied.The analysis includes the schematic diagram of the Boost converter circuit and the Buck converter circuit.Through the comparative analysis,the Boost converter circuit is selected as the main circuit of the system,and its minimum inductance and filter capacitance are selected.Then,the two traditional MPPT control methods of disturbance observation method and conductance increment method are analyzed for the photovoltaic array under uniform illumination conditions respectively;the principle of fuzzy logic control is introduced,and an MPPT optimization control based on conductance increment based on fuzzy control is introduced law.In MATLAB/Simulink,the MPPT technology's disturbance observation method,conductance increment method and optimized control method are compared and simulated.Based on the simulation results,fuzzy logic control is used as the optimal solution to provide reference for engineering applications.Finally,for the problem of multiple extreme points of the PV array P-U characteristic curve under non-uniform lighting conditions,the traditional MPPT method is analyzed and the influencing factors of the failure of the traditional algorithm are described.In-depth study of particle swarm optimization algorithm,proposed an optimized particle swarm algorithm applied to the photovoltaic power generation system MPPT,and the design and optimization of the proposed particle swarm algorithm parameters and execution process.Simultaneously,the Matlab/Simulink simulation platform was used for simulation verification.The results show that the algorithm has certain advantages in the photovoltaic multi-extreme point problem,and can accurately and quickly search and track to the maximum power point under non-uniform lighting conditions.