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A Comprehensive Decade-Long Review of Advanced MPPT Algorithms for Enhanced Photovoltaic Efficiency

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Title: A Comprehensive Decade-Long Review of Advanced MPPT Algorithms for Enhanced Photovoltaic Efficiency
Authors: Maroua Bouksaim, Mohcin Mekhfioui, Mohamed Nabil Srifi
Source: Solar, Vol 5, Iss 3, p 44 (2025)
Publisher Information: MDPI AG, 2025.
Publication Year: 2025
Collection: LCC:Production of electric energy or power. Powerplants. Central stations
Subject Terms: photovoltaic system, maximum power point tracking (MPPT), intelligent algorithms, conventional MPPT techniques, hybrid MPPT methods, machine learning in MPPT, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
Description: Photovoltaic energy has become a key pillar in the transition to sustainable energy systems, driven by the need for efficient energy conversion and the reduction of dependency on fossil fuels. Maximum Power Point Tracking (MPPT) is central to optimizing the performance of photovoltaic systems by ensuring the maximum extraction of solar energy, even under fluctuating environmental conditions. This review provides a comprehensive analysis of MPPT algorithms developed and refined over the past decade (2015–2025), highlighting major breakthroughs in algorithmic approaches, from conventional methods such as Perturb and Observe (P&O) and Incremental Conductance (IncCond) to more advanced techniques incorporating artificial intelligence, fuzzy logic, and hybrid systems. The paper evaluates the evolution of MPPT techniques, focusing on their effectiveness in real-world applications, particularly in optimizing photovoltaic output under diverse operating conditions such as partial shading, temperature variations, and rapid irradiance changes. Furthermore, it discusses the ongoing challenges in the field and the promising directions for future research, aiming to further enhance the reliability and efficiency of solar power systems worldwide.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2673-9941
Relation: https://www.mdpi.com/2673-9941/5/3/44; https://doaj.org/toc/2673-9941
DOI: 10.3390/solar5030044
Access URL: https://doaj.org/article/09de53bd7e664d95bfada45489da29e4
Accession Number: edsdoj.09de53bd7e664d95bfada45489da29e4
Database: Directory of Open Access Journals
Description
Abstract:Photovoltaic energy has become a key pillar in the transition to sustainable energy systems, driven by the need for efficient energy conversion and the reduction of dependency on fossil fuels. Maximum Power Point Tracking (MPPT) is central to optimizing the performance of photovoltaic systems by ensuring the maximum extraction of solar energy, even under fluctuating environmental conditions. This review provides a comprehensive analysis of MPPT algorithms developed and refined over the past decade (2015–2025), highlighting major breakthroughs in algorithmic approaches, from conventional methods such as Perturb and Observe (P&O) and Incremental Conductance (IncCond) to more advanced techniques incorporating artificial intelligence, fuzzy logic, and hybrid systems. The paper evaluates the evolution of MPPT techniques, focusing on their effectiveness in real-world applications, particularly in optimizing photovoltaic output under diverse operating conditions such as partial shading, temperature variations, and rapid irradiance changes. Furthermore, it discusses the ongoing challenges in the field and the promising directions for future research, aiming to further enhance the reliability and efficiency of solar power systems worldwide.
ISSN:26739941
DOI:10.3390/solar5030044