Parameter extraction of photovoltaic panels using genetic algorithm

Khaled Khelil; Tahar Bouadjila; Farid Berrezzek; T. Khediri

Center of Academic Publications

Parameter extraction of photovoltaic panels using genetic algorithm

https://www.univ-soukahras.dz/en/publication/article/1975

Khaled Khelil, Tahar Bouadjila, Farid Berrezzek and T. Khediri (2018) Parameter extraction of photovoltaic panels using genetic algorithm. ICTAEE18 , Skikda, Algeria

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This paper examines the identification of photovoltaic (PV) module through Genetic Algorithm (GA) using a cost function based on, only, the electrical performance values of Pmax, Vmp, Imp, Voc and Isc provided by the manufacturer datasheet at Standard Test Conditions (STC). To extract the five electrical parameters of the considered single diode model, the approach is formulated as a non convex optimization problem, and the GA is employed to overcome the nonlinear and transcendental nature of the circuit model. Compared to data provided by various manufacturers, the obtained simulation results show that our proposed approach is very efficient in estimating the electrical parameters of PV solar modules.

Item Type:	Conference
Divisions:	» Laboratory of Electrical Engineering and Renewable Energy
ePrint ID:	1975
Date Deposited:	2019-10-30
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/1975