A Work on Grid Connected Solar Photovoltaic System Using Particle Swarm Optimization Technique

Nowadays, solar photovoltaic (PV) systems are rapid growing energy resources in the world. Solar PV system depends upon the solar irradiation and temperature. Number of maximum power point tracking (MPPT) techniques can be used to extract the maximum power. During bad weather condition or partial shading condition, conventional MPPTs are unable to recognize the maximum power point (MPP). Consequently, these algorithms cannot be utilized as a part of PV framework to concentrate maximum accessible power. For this, particle swarm optimization (PSO) is utilized to reinstate particles to scan for the new maximum power point (MPP). A detailed simulation is done in the MATLAB/Simulink. PSO system gives various focal points, it has a speedier following velocity, it can likewise build up the MPP for any ecological varieties including partial shading condition, and also it is easy to develop.