MPPT-based on Bat algorithm for photovoltaic systems working under partial shading conditions

Issue title: Digital transformation through advances in artificial intelligence and machine learning

Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava

Article type: Research Article

Authors: Asim, Mohammed^a | Agrawal, Piyush^a | Tariq, Mohd^{b; *} | Alamri, Basem^c

Affiliations: [a] Department of Electrical Engineering, Integral University, Lucknow, India | [b] Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India | [c] Department of Electrical Engineering, College of Engineering, Taif University, Saudi Arabia

Correspondence: [*] Corresponding author. Dr. Mohd Tariq, Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India. E-mail: tariq.ee@zhcet.ac.in.

Abstract: Under partial shading conditions (PSC), most traditional maximum power point tracking (MPPT) techniques may not adopt GP (global peak). These strategies also often take a considerable amount of time to reach a full power point (MPP). Such obstacles can be eliminated by the use of metaheuristic strategies. This paper shows, in partial shading conditions, the MPPT technique for the photovoltaic system using the Bat Algorithm (BA). Simulations have been performed in the MATLAB®/Simulink setting to verify the efficacy of the proposed method. In MPPT applications, the results of the simulations emphasize the precision of the proposed technique. The algorithm is also simple and efficient, on a low-cost microcontroller, it could be implemented. Hardware in Loop (HIL) validation is performed, with a Typhoon HIL 402 setup.

Keywords: Photovoltaic system, partial shading conditions, maximum power point tracking, Bat algorithm

DOI: 10.3233/JIFS-189754

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 851-859, 2022