Survey of AI based MPPT algorithms in PV systems

Raj, S Antony; Samuel, G. Giftson

doi:10.1109/icssit53264.2022.9716521

Cited by 10 publications

(1 citation statement)

References 57 publications

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“…Comparative Analysis of MPPT Methods [26] x x x [27] x x x x [28] x x [29] x x x [30] x x x [31] x x x x x [32] x x x [33] x x [34] x x x x x [35] x [36] x x x [37] x x [38] x x x [39] x x x x [40] x x x Proposed x x…”

Section: Mppt Selection Criteriamentioning

confidence: 99%

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

2023

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To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power Point Tracking (MPPT) techniques were developed. In this research work, different hybrid MPPT techniques are categorized into three types: a combination of conventional algorithms, a combination of soft computing algorithms, and a combination of conventional and soft computing algorithms are discussed in detail. Particularly, about 90 hybrid MPPT techniques are presented, and their key specifications, such as accuracy, speed, cost, complexity, etc., are summarized. Along with these specifications, numerous other parameters, such as the PV panel’s location, season, tilt, orientation, etc., are also discussed, which makes its selection easier according to the requirements. This research work is organized in such a manner that it provides a valuable path for energy engineers and researchers to select an appropriate MPPT technique based on the projects’ limitations and objectives.

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