Parameter Estimation of Solar PV Module Employing Electric EEL Foraging Optimization Algorithm

Abstract

Abstract The extraction of unknown parameters from photovoltaic (PV) modules is critical for evaluating PV system performance amidst unpredictable conditions. This paper introduces a pioneering metaheuristic algorithm, the electric eel foraging optimization (EEFO) algorithm, tailored for resolving non-linear PV parameter estimation challenges. Inspired by the predatory behaviour of electric eels, EEFO represents a novel swarm optimization approach. The proposed methodology combines the EEFO algorithm with the Newton-Raphson method to bolster solution accuracy. Comparative assessments against established optimization algorithms validate the superior efficacy of the EEFO algorithm, substantiating its potential as a leading solution in this domain.