Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition

ABSTRACT

Because of dust, trees, high buildings in the surrounding area, partial shading conditions (PSC) occur in photovoltaic (PV) systems. This condition affects the power output of the PV system. Under PSC there is a global maximum power point (GMPP) besides there are a few local maximum power points (LMPP). This condition makes the maximum power point tracking (MPPT) procedure a challenging task. In order to solve this issue, soft computing techniques such as gray wolf optimization (GWO), particle swarm optimization (PSO) and Gravitational Search Algorithm (GSA) are implemented. However, the performance of MPP trackers still needs to be improved. The main contribution of this paper is improving the tracking speed by implementing BOA to the MPPT of the PV system under PSC. Thus, in real-time applications a promising alternative presented to the literature to improve the performance of the PV systems under variable PSC because of its fast tracking speed. PV system consists of PV array, boost converter and load are modeled and simulated in MATLAB/Simulink. BOA algorithm is implemented for three different insolation scenarios on the PV array. The results of the BOA algorithm verified by a comparative analysis with PSO-GSA and GWO algorithms. The results show that BOA can give high accuracy and better tracking speed than these algorithms in recent literature.

KEYWORDS:

• Partial shading
• photovoltaic
• solar
• energy
• butterfly optimization algorithm
• MPPT

Additional information

Funding

This work was supported by Research Fund of Cukurova University. Project Number:10587

Notes on contributors

Kemal Aygül

Kemal Aygül was born in Adana, Turkey. He received his B.Sc and MSc. degree in the department of Electrical and Electronics Engineering from Cukurova University in 2016 and 2019 respectively. He is currently pursuing the Ph.D. degree in electrical engineering at the Istanbul Technical University. His research interests include the application of artificial neural networks and optimization algorithms in electrical power systems including renewable energy sources.

Murat Cikan

Murat Cikan received the B.Sc. degree in electrical engineering from Yildiz Technical University, Turkey, the MSc and MSc. degrees in Electrical Engineering from Polytechnic Institute of New York University, New York, USA in 2010 and in Electrical Engineering from Drexel University, Philadelphia, USA in 2013, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical Engineering, Yildiz Technical University, Istanbul, Turkey. His research interests include power system analysis, power system optimization, reconfiguration and dc-dc converters.

Tuğçe Demirdelen

Tuğçe Demirdelen was born in Adana, Turkey. She received the M.Sc. and Ph.D. degree in department of electrical and electronics engineering  from Cukurova University, Turkey, in 2013 and in 2016, respectively. In 2011, she worked the Department of Electrical and Electronics Engineering, Cukurova University as a research assistant. She has worked Adana Alparslan Turkes Science and Technology University as an assistant professor doctor since 2017. Her research interests include power quality, power electronics, renewable energy resources, artificial neural networks, multi-level inverters, transformers. Dr. Demirdelen has authored more than 50 technical published in journals and conference proceedings.

Mehmet Tumay

Mehmet Tumay received the M.Sc. degree in electrical and electronics engineering from University of Gaziantep, Turkey, in 1991 and the Ph.D. degree in power systems department from University of Strathclyde, England, in 1995. In 1996, he joined Department of Electrical and Electronics Engineering, University of Gaziantep as an assistant professor. Since 2006, he has been a professor in Department of Electrical and Electronics Engineering, Cukurova University. He is now president of Adana Alparslan Türkeş Science and Technology University. His research interests include electrical energy usage, analysis of energy systems, energy transmission, distribution protection, power tools, power electronics, electrical machine design, illumination techniques, control systems and instrumentation, industrial design areas. Prof. Tümay is an editor for Turkish Journal of Electrical Engineering & Computer Sciences. He has authored more than 100 technical published in journals and conference proceedings.