Open AccessWhale optimisation algorithm for photovoltaic model identification
Author(s) -
Elazab Omnia S.,
Hasanien Hany M.,
Elgendy Mohamed A.,
Abdeen Amr M.
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0662
Subject(s) - photovoltaic system , computer science , identification (biology) , heuristic , algorithm , whale , mathematical optimization , mathematics , engineering , artificial intelligence , electrical engineering , botany , fishery , biology
Parameter extraction of a solar cell is essential in the simulation and design calculation of photovoltaic (PV) systems. The mathematical model of the PV module is a non‐linear I – V characteristic including several unknown parameters as the PV manufacturers’ data are not sufficient. This study presents a method for estimating the parameters of the single‐ and double‐diode PV models of a PV module based on a nature‐inspired meta‐heuristic optimisation algorithm known as the whale optimisation algorithm (WOA). The validity of the proposed WOA‐based PV model is verified by comparing its simulation results with the experimental results for the PV modules under different environmental conditions.