Extensively used conventional and selected advanced maximum power point tracking techniques for solar photovoltaic applications: An overview

• Published in: AIMS energy Vol. 8; no. 5; pp. 935 - 958
• Main Authors: Saad Bin Arif, M, Mustafa, Uvais, bin Md. Ayob, Shahrin
• Format: Journal Article
• Language: English
• Published: AIMS Press 01.01.2020
• Subjects: artificial neural network; fuzzy control; maximum power point tracking (mppt) techniques; partial shading; photovoltaic array; slide-mode control
• ISSN: 2333-8334; 2333-8326; 2333-8334
• DOI: 10.3934/energy.2020.5.935

The lower output efficiency of the solar PV panel is due to the deviation of its operating point from the maximum power operation. And the change in the maximum power point (MPP) with the change in uncontrolled environmental conditions such as temperature and isolation make it difficult to withstand the MPP operation of the system. Different techniques and maximum power point tracking algorithms have been developed to address the issue. This paper presents a critical overview of widely used maximum power tracking techniques for photovoltaic system applications. Conventional, as well as advanced developed methods, which are less complex, robust and reliable, are discussed. However, some complexity occurs while selecting the appropriate MPPT method for a particular application. One of the contributions of this review article is to provide an outline for the selection of appropriate technique suitable for a particular application. Comparative analysis and classification of the selected MPPT methods based on various features such as type of control strategies, control variables, a converter circuit, and practical/commercial applications are presented. This review article is envisioned to serve as a useful reference for future MPPT users and PV system design engineers.