Extraction of the solar PV module parameters using chicken swarm optimization technique

Abstract

Solar PV array parameter extraction is an active area of research in the field of renewable energy. In this article a new metaheuristic approach, chicken swarm optimization (CSO) is explored for solar PV array parameter extraction. Five parameters of the solar PV module have been extracted in MATLAB software using chicken swarm optimization and the results are compared with culture algorithm (CA). The simulation results show that CSO algorithm is a robust algorithm and outperforms culture algorithm in terms of RMSE.