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Photovoltaic modeling using metaheuristic algorithms


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Hany M. Hasanien

Ain Shams University,Egypt

ScientificTracks Abstracts: RRJET

Abstract

Photovoltaic (PV) systems represents the second item of the renewable energy installation after the wind systems. Several investments are oriented to the PV industry where there is a deep reduction of components cost. This lecture presents the application of metaheuristic algorithms used to estimate the unknown parameters of the three-diode PV model of such PV panels. The principal goal of the study is to achieve an accurate PV model that can be applied to different systems. The accuracy of the PV model affects the accuracy of dynamic analyses of the system. The PV modeling is considered as an optimization problem, which represents the root mean squared current error between the calculated model current and the experimental current of the PV panel. Different metaheuristic algorithms can be applied to solve the optimization problem and obtain the unknown parameters of the PV model. The effectiveness of the proposed PV model is validated by several numerical results, which are carried out under different environmental conditions. The simulation results are compared with the experimental results for different PV panels. With the incorporation of metaheuristic algorithms, an accurate PV model of any PV panel is built. The application of these algorithms and artificial intelligence is very powerful in this research area.

Biography

Hany M. Hasanien (M 09, SM 11) received his B.Sc., M.Sc. and Ph.D. degrees in Electrical Engineering from Ain Shams University, Faculty of Engineering, Cairo, Egypt, in 1999, 2004, and 2007, respectively. From 2008 to 2011, he was a Joint Researcher with Kitami Institute of Technology, Kitami, Japan. From 2012 to 2015, he was Associate Professor at College of Engineering, King Saud University, Riyadh, Saudi Arabia. Currently, he is Professor at the Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University.