Electrical Parameters Identification of Three-Diode Photovoltaic Model Based on Equilibrium Optimizer Algorithm

Abstract

Tremendous penetration of photovoltaic (PV) systems into the electric grids develops many challenges in the modern power systems. In the simulation analyses of PV systems, accurate modelling of PV modules plays a crucial role in enhancing the characteristics of such systems. Modelling of such PVs is represented by a non-linear $I - V$ behavior, involving various unknown parameters because of the inadequate data offered in the datasheet of PV cells. This paper proposes a novel implementation of the equilibrium optimizer algorithm (EOA) to identify the nine-parameters of a three-diode (TD) model of a PV module. Soundness of the EOA-TD model is extensively confirmed by the simulation results that are carried out in different environmental conditions. The optimal parameters obtained using the proposed approach are compared with those realized using other optimization techniques-based TD models. To achieve a practical study, the simulation and experimental outcomes are checked for various commercial PV panels and the error among these results records a value less than 0.5%. Moreover, the optimal parameters attained using the EOA are competitive and very close to that realized using other approaches, where the offered EOA has exhibited a minimum fitness value of 1.14e-14 and 7.154 e-13 for Kyocera and Solarex marketable PV cells, respectively. The effectiveness of the proposed TD PV model is adequately assessed by evaluating its absolute current error (ACE) with the ACE in different PV models. The EOA technology is considered to be an accurate means of achieving the proper modelling of any commercial PV module.

Keywords

• Equilibrium optimizer algorithm (EOA)
• photovoltaic modeling
• solar power
• three-diode model