Accurate Estimation of PV Cell Equivalent Circuit Parameters with Evolutionary Algorithms

Abstract

Accurate estimation of equivalent circuit parameters in photovoltaic (PV) cells is of great importance to improve the efficiency, performance and cost effectiveness of PV systems. It also allows better monitoring and modeling of the system’s behavior over time. To achieve this, two different evolutionary algorithms, Harmony Search (HS) and Genetic Algorithm (GA), were used and the performances of both algorithms for two different temperature values were compared with previous studies in the field. The results obtained revealed that the temperature value is effective for HS and GA in estimating the parameters of the double diode equivalent circuit model. These findings highlight the effectiveness of the proposed optimization methodology and highlight that temperature values are important in choosing the algorithm to be used and that HS and GA are a powerful tool to optimize the parameters of the PV cell equivalent circuit and therefore improve the output current.