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 …

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

KS Garud, S Jayaraj, MY Lee - International Journal of Energy …, 2021 - Wiley Online Library
The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

An efficient fuzzy-logic based variable-step incremental conductance MPPT method for grid-connected PV systems

MN Ali, K Mahmoud, M Lehtonen, MMF Darwish - Ieee Access, 2021 - ieeexplore.ieee.org
Recently, solar energy has been intensively employed in power systems, especially using
the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of …

Harris hawk optimization-based MPPT control for PV systems under partial shading conditions

M Mansoor, AF Mirza, Q Ling - Journal of Cleaner Production, 2020 - Elsevier
Solar energy is a sustainable and inexhaustible renewable energy. Solar-powered PV
systems contribute to the cleanest and the most cost-effective electrical energy. However, PV …

A comprehensive review and classified comparison of MPPT algorithms in PV systems

M Sarvi, A Azadian - Energy Systems, 2022 - Springer
One of the most available energy sources in the world is solar energy, while in the category
of renewable and nonrenewable energies is in the first group. Power generation of a …

A novel meta-heuristic optimization algorithm based MPPT control technique for PV systems under complex partial shading condition

MH Zafar, NM Khan, AF Mirza, M Mansoor… - Sustainable Energy …, 2021 - Elsevier
The need to combat the increase in global warming is well taken by solar energy lead
renewable energy resources. The techno-economic feasibility of solar systems in the form of …

A state-of-art-review on machine-learning based methods for PV

GM Tina, C Ventura, S Ferlito, S De Vito - Applied Sciences, 2021 - mdpi.com
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

Review on novel single-phase grid-connected solar inverters: Circuits and control methods

E Kabalcı - Solar Energy, 2020 - Elsevier
An ever-increasing interest on integrating solar power to utility grid exists due to wide use of
renewable energy sources and distributed generation. The grid-connected solar inverters …

[HTML][HTML] Application of third-order sliding mode controller to improve the maximum power point for the photovoltaic system

K Walid, M Sofiane, H Benbouhenni, G Hamza… - Energy Reports, 2023 - Elsevier
In this research work, a third-order sliding mode control (TOSMC) is suggested to achieve
the maximum power point (MPP) in a photovoltaic (PV) system application under variable …

High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance

AF Mirza, M Mansoor, K Zhan, Q Ling - Energy, 2021 - Elsevier
PV systems may suffer significant power loss caused by irregular irradiance patterns and
changing temperatures. Moreover, partial shading (PS) is a major defect for existing …