A PSO – I GWO Algorithm Based MPPT for PV System under Partial Shading Conditions

Abstract

Solar photovoltaic (PV) is skyrocketing energy due to its advancement in technology. Nevertheless, PV energy face some difficulties under partial shading conditions (PSC) easily fall into local maxima instead of maximum peak power (MPP), oscillations around MPP when we used conventional algorithms. To avoid this problem a hybrid model of particle swarm optimization and improved grey wolf optimization (PSO – I GWO) based metaheuristic algorithm is used in this paper. It is developed and implemented in Matlab/ Simulink environment for different irradiation conditions. Moreover, the proposed algorithm is compared with another existing algorithm of cuckoo search optimization (CSO). Eventually, the hybrid model is superior to CSO in terms of convergence time, extracted power, and efficiency.