Grid Connected Control And Power Point Research Based On Photovoltaic Power Generation

The development and application of solar power technology has promoted the development of national economy.The control system is an important part of photovoltaic power generation.Maximum power point tracking aims at ensuring maximum output power and improving energy efficiency.This paper will introduce the current development of distributed power supply at home and abroad,and consider the uncertainty and instability of the distribution system when the amount of electrical energy access and occupancy increases,and analyzes the substantial difficulties of increasing the traditional network planning and maintenance and the key factors in the construction of the project.Determining the location and location of the distributed power supply,especially when tracking the maximum power point into the power system,is a difficult problem to be solved at present.In order to reasonably select the location and capacity of the distributed generation,the distributed power supply can achieve better results in the structural planning.In the study of particle swarm optimization and cell membrane algorithm,it is improved,and a new particle swarm optimization algorithm with two advantages is obtained.The new optimization method is theoretically verified.According to them,the corresponding mathematical functions are established to minimize the loss of the target and reduce the cost.The distributed power grid,photovoltaic power generation and network control strategy are discussed.This paper analyzes the working principle and working principle of photovoltaic power generation,uses particle swarm optimization algorithm to rewrite the Sfunction,and applies the new S-function to the fuzzy controller to track the maximum power point of the photovoltaic cell.After the optimization,the S-function is combined with the fuzzy controller,and the maximum power point can be traced more cooperatively.The effectiveness of the method.The simulation model is built based on Simulink system,and the effectiveness of the algorithm is proved by MATLAB/Simulink simulation.