Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm

Omnia S Elazab,Almoataz Y Abdelaziz,Hany M Hasanien,S M Muyeen,Ibrahim Alsaidan

doi:10.3390/en13020497

Omnia S Elazab, Almoataz Y Abdelaziz + Show 3 more

Open Access

https://doi.org/10.3390/en13020497

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Abstract

While addressing the issue of improving the performance of Photovoltaic (PV) systems, the simulation results are highly influenced by the PV model accuracy. Building the PV module mathematical model is based on its I-V characteristic, which is a highly nonlinear relationship. All the PV cells’ data sheets do not provide full information about their parameters. This leads to a nonlinear mathematical model with several unknown parameters. This paper proposes a new application of the Grasshopper Optimization Algorithm (GOA) for parameter extraction of the three-diode PV model of a PV module. Two commercial PV modules, Kyocera KC200GT and Solarex MSX-60 PV cells are utilized in examining the GOA-based PV model. The simulation results are executed under various temperatures and irradiations. The proposed PV model is evaluated by comparing its results with the experimental results of these commercial PV modules. The efficiency of the GOA-based PV model is tested by making a fair comparison among its numerical results and other optimization method-based PV models. With the GOA, a precise three-diode PV model shall be established.

Highlights

Solar energy is considered as a highly promising renewable energy resource [1]
KC200GT and MSX-60 polycrystalline PV modules are used to verify the validity of the Grasshopper Optimization Algorithm (GOA)-based PV model
The obtained results of the proposed GOA are compared with that obtained using the whale optimization algorithm (WOA), genetic algorithm (GA), Simulated

Summary

Introduction

Solar energy is considered as a highly promising renewable energy resource [1]. For the 8th year solar power gained the largest share of innovative investments in renewable energies [2].Driven by the International Governmental Support and the competition between the Photovoltaic (PV) manufacturers, PV modules with higher efficiencies and lower prices are released to the market.The global solar annual installed capacity exceeded 98 GW by the end of 2017 with expectations to reach 162 GW by 2021 [3,4]. Solar energy is considered as a highly promising renewable energy resource [1]. For the 8th year solar power gained the largest share of innovative investments in renewable energies [2]. Driven by the International Governmental Support and the competition between the Photovoltaic (PV) manufacturers, PV modules with higher efficiencies and lower prices are released to the market. The global solar annual installed capacity exceeded 98 GW by the end of 2017 with expectations to reach 162 GW by 2021 [3,4]. An accurate simulation of a solar photovoltaic (PV) system is a prerequisite for actual implementation. Precise modeling of PV modules is the prime step for improving the performance of PV systems during simulation and design procedures.

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