A review on maximum power point tracking for photovoltaic systems with and without shading conditions. (January 2017)

• Record Type: Journal Article
• Authors: Ramli, Makbul A.M.; Twaha, Ssennoga; Ishaque, Kashif; Al-Turki, Yusuf A.
• Is Part Of: Renewable & sustainable energy reviews. Volume 67(2017)
• Page Start: 144
• Page End: 159
• Publication Date: 2017-01
• Subjects: Photovoltaic system -- Maximum power point tracking -- Normal condition -- Partial shading condition; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2016.09.013
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: This paper discusses maximum power point tracking (MPPT) methods of PV system for normal and partial shading conditions (PSC). The selected MPPT methods were classified as artificial intelligent, hybrid, and other MPPT methods. The comparison of researches on MPPT methods under normal condition and PSC reveals that researchers have concentrated more on shading conditions since the last few years mainly due to the need of power output and efficiency improvements. It is believed that the information contained in this piece of work will be of great use for the researchers in the field under consideration.