Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

Kermadi, Mostefa; Salam, Zainal; Eltamaly, Ali M.; Ahmed, Jubaer; Mekhilef, Saad; Larbes, Cherif; Berkouk, El Madjid

Abstract

This review covers global maximum power point tracking (GMPPT) methods for photovoltaic (PV) systems under partial shading conditions. Unlike the previous review works that primarily focused on soft computing and hybrid GMPPT, this study gives exclusive attention to the improvement achieved by the conventional MPPT (perturb and observe, hill climbing, and incremental conductance). The improved methods include the popular 0.8 × V oc model and, more recently, the skipping algorithms. In addition to providing qualitative descriptions of the available techniques, this work also attempts to provide a fair evaluation of GMPPT to determine their comparative performances. The competing algorithms, which are selected to represent every category (conventional and soft computing and hybrid MPPT), are benchmarked under carefully selected operating conditions and shading scenarios. The evaluation is focused on four main criteria: tracking accuracy, convergence time, length of voltage fluctuations, and transient efficiency during the search for the global maximum power point. The results obtained from this study can become a basis for researchers and designers to select the best MPPT technique for their respective applications.

Citation

Kermadi, M., Salam, Z., Eltamaly, A. M., Ahmed, J., Mekhilef, S., Larbes, C., & Berkouk, E. M. (2020). Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation. IET Renewable Power Generation, 14(17), 3401-3417. https://doi.org/10.1049/iet-rpg.2020.0454

• Journal Article Type: Article
• Acceptance Date: Nov 27, 2020
• Online Publication Date: Feb 16, 2021
• Publication Date: 2020-12
• Deposit Date: Dec 28, 2021
• Journal: IET Renewable Power Generation
• Electronic ISSN: 1752-1424
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 17
• Pages: 3401-3417
• DOI: https://doi.org/10.1049/iet-rpg.2020.0454
• Keywords: maximum power point trackers; photovoltaic power systems
• Public URL: http://researchrepository.napier.ac.uk/Output/2823462