An investigation on maximum power extraction algorithms from PV systems with corresponding DC-DC converters

Khaled Osmani, Ahmad Haddad, Thierry Lemenand, Bruno Castanier and Mohamad Ramadan

Energy, 2021, vol. 224, issue C

Abstract: This paper aims at exploring different approaches utilized to track the Maximum operating Power Point (MPP) of PV (Photovoltaic) modules, fulfilling the largest amount of available power extraction, hence achieving cost and energy efficiencies of PV systems. This procedure takes place within two divisions: algorithm implementation and DC-DC Power Processing Units (PPUs) design. First and foremost, all MPP algorithms fall under two major categories: local MPP (happens during homogeneous solar radiations) and global MPP (occurs with partial shading conditions). Each of the two groups possesses various methodologies for algorithm generation. Secondly, PPUs were generally classified as either isolated or non-isolated DC-DC converters. Each collection reigns a buck, boost and buck-boost converters with diverse circuit layouts. A critical assessment and comparison were conducted for algorithms and converters in terms of efficiency, reliability and complexity. After analysis and comparison of different maximum power point tracking schemes, it is found that the best algorithm to be adapted is from the global maximum power point tracking set, under exploitation of characteristic curve topologies. For PPUs architecture, it is concluded that a non-isolated buck-boost converter is the best to be chosen while designing an MPP tracker.

Keywords: MPPT; GMPPT; Maximums; Extraction; DC-DC; Converters (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:224:y:2021:i:c:s0360544221003418

DOI: 10.1016/j.energy.2021.120092

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