Performance Analysis of Soft Computing ANN Based MPPT Technique for Solar PV Generator

Abstract

This paper proposes the solution to finalize a way to use the soft computing artificial neural network (ANN) based MPPT (maximum power point tracking) scheme for a solar photovoltaic (PV) generator to work efficiently and produce maximum power. A better state-of-the-art technique based on soft computing ANN to take out maximum power for self-identified and given dynamic irradiation conditions is used. The comparison of the performance of the proposed methodology for given data pattern and generated data pattern is presented in terms of computational epoch point of view and mean square error. The reported simulation results in the case of self-generated data patterns found superior performance for the proposed technique for Solar PV generator configuration.