Affiliations: [a] Materials and its Applications in Electrical Engineering Laboratory, Faculty of Electrical Engineering, University of Science and Technology of Oran, Oran, 31000, Algeria | [b] Universiti Teknologi Petronas, Seri Iskandar, Perak Darul Ridzuan, 32610, Malaysia
Corresponding author: Mohammed Tarik Benmessaoud, Materials and its Applications in Electrical Engineering Laboratory, Faculty of Electrical Engineering, University of Science and Technology of Oran, MB, BP 1505, EL M’Naouer, Oran, 31000, Algeria. E-mail: [email protected].
Abstract: In this paper, a method based on genetic algorithms is proposed for improving the accuracy of solar cell parameters extracted using novel technique. We propose a computational based binary-coded genetic algorithm (GA) to extract the parameters (I0, Iph, n, Rs and Rsh) for a single diode model of solar cell from its current-voltage (I–V) characteristic. The algorithm was implemented using Matlab as a programming tool and validated by applying it to the I–V curve synthesized from the literature using reported values. The characterization, current-voltage data used was generated by simulating a one-diode solar cell model of specified parameters. The new approach is based on formulating I–V equation of solar cell, with Lambert function, the parameter extraction as a search and optimization problem. Compared with other optimization techniques in literatures, the approach proposed for the determination of parameters are in good agreement.
Keywords: Photovoltaic solar cell, parameter extraction, genetic algorithm, optimization, Lambert function