Artificial intelligence based MPPT techniques for solar power system: A review

KY Yap, CR Sarimuthu, JMY Lim - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
In the last decade, artificial intelligence (AI) techniques have been extensively used for
maximum power point tracking (MPPT) in the solar power system. This is because …

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

B Yang, J Wang, X Zhang, T Yu, W Yao, H Shu… - Energy Conversion and …, 2020 - Elsevier
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review

CG Villegas-Mier, J Rodriguez-Resendiz… - Micromachines, 2021 - mdpi.com
The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …

[HTML][HTML] Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies

M Mao, L Cui, Q Zhang, K Guo, L Zhou, H Huang - Energy Reports, 2020 - Elsevier
The output power–voltage (P–V) curve of a solar photovoltaic (PV) power system shows a
single peak under an even irradiation environment, nevertheless, but often exhibits seriously …

[HTML][HTML] An improved genetic algorithm based fractional open circuit voltage MPPT for solar PV systems

A Hassan, O Bass, MAS Masoum - Energy Reports, 2023 - Elsevier
To extract the maximum power from solar PV, maximum power point tracking (MPPT)
controllers are needed to operate the PV arrays at their maximum power point under varying …

CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system

V Sundararaj, V Anoop, P Dixit, A Arjaria… - Progress in …, 2020 - Wiley Online Library
In general, the photovoltaic (PV) is considered as the best selection among renewable
energy resources due to its nonpolluted operation and good flexibility condition. The PV …

Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition

B Yang, T Zhu, J Wang, H Shu, T Yu, X Zhang… - Journal of Cleaner …, 2020 - Elsevier
This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …

A novel metaheuristic MPPT technique based on enhanced autonomous group Particle Swarm Optimization Algorithm to track the GMPP under partial shading …

A Refaat, AE Khalifa, MM Elsakka, Y Elhenawy… - Energy Conversion and …, 2023 - Elsevier
In order to maximize the benefit of solar panels, it is crucial to enhance the operating
efficiency of PV systems. Usually, the PV arrays are exposed to harsh outdoor operating …

A novel global MPPT technique based on squirrel search algorithm for PV module under partial shading conditions

D Fares, M Fathi, I Shams, S Mekhilef - Energy Conversion and …, 2021 - Elsevier
The partial shading condition (PSC) makes it challenging for the PV system to harvest
maximum power via maximum power point tracking (MPPT). Various MPPT algorithms …

Design and hardware implementation of new adaptive fuzzy logic-based MPPT control method for photovoltaic applications

H Rezk, M Aly, M Al-Dhaifallah, M Shoyama - Ieee Access, 2019 - ieeexplore.ieee.org
An adaptive fuzzy logic (FL)-based new maximum power point (MPP) tracking (MPPT)
methodology for controlling photovoltaic (PV) systems is proposed, designed, and …