Particle Swarm Optimization Based of the Maximum Photovoltaic Power Tractioqg under Different Conditions

Abstract

Photovoltaic electricity is seen as an important source of renewable energy. The photovoltaic array is an unstable source of power since the peak power point depends on the temperature and the irradiation level. A maximum peak power point tracking is then necessary for maximum efficiency. In this work, a Particle  Swarm Optimization (PSO) is proposed for maximum power point tracker for photovoltaic panel, are used to generate the optimal MPP, such that solar panel maximum power is generated under different operating  conditions. A photovoltaic system including a solar panel and PSO MPP tracker is modelled and simulated, it has been has been carried out which has shown the effectiveness of PSO to draw much energy and fast  response against change in working conditions.

Keywords:  Particle Swarm Optimization (PSO), photovoltaic system, MPOP, optimization technique.