PV PARAMETERS ESTIMATION USING DIFFERENT EVOLUTIONARY ALGORITHMS

Abstract

In this paper, different evolutionary algorithms have been employed to estimate the parameters of a real PV module. The used algorithms are Particle Swarm Bacterial Foraging, Simulated Annealing and Genetic Algorithms. The results endorse the capability of evolutionary computational approaches to determine precisely the parameters of the PV module. However, some differences have been observed in terms of required number of iterations and accuracy. The Particle Swarm and Bacterial Foraging showed noteworthy precision compared to Genetic Algorithm and Simulated Annealing in handling this problem. According to the carried out studies, Evolutionary Algorithms provided several sets of solutions to the estimation problem rather than a unique solution.