[PDF][PDF] A Comprehensive Review on Recent Maximum Power Point Tracking of a Solar Photovoltaic Systems using Intelligent, Non-Intelligent and Hybrid based …

VHU Eze, UO Oparaku, AS Ugwu… - International Journal of …, 2021 - researchgate.net
The uncertainty associated with modelling and performance of solar photovoltaic systems
could be easily and efficiently solved by using Maximum power point techniques. During the …

Advancements in maximum power point tracking for solar charge controllers

AZ Arsad, AWM Zuhdi, AD Azhar, CF Chau… - … and Sustainable Energy …, 2025 - Elsevier
Solar power has gained popularity as an alternative to tackling global energy and
environmental issues. However, concerns about the unpredictable nature of renewable …

Supertwisting sliding mode algorithm based nonlinear MPPT control for a solar PV system with artificial neural networks based reference generation

S Ahmed, HM Muhammad Adil, I Ahmad, MK Azeem… - Energies, 2020 - mdpi.com
The problem of extracting maximum power from a photovoltaic (PV) system with negligible
power loss is concerned with the power generating capability of the PV array and nature of …

Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations

M Adaikkappan, N Sathiyamoorthy, DD Ravichandran… - PloS one, 2024 - journals.plos.org
Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable
power volume, causing ineffective maximum power point tracking (MPPT). Moreover, due to …

Photovoltaic maximum power point trackers: an overview

AM Eltamaly - Advanced technologies for solar photovoltaics energy …, 2021 - Springer
The generated power from the photovoltaic (PV) array is a function in its terminal voltage.
The relation between the generated power and the terminal voltage of the PV array is called …

Nonlinear mppt algorithm for pv system using a condition based supertwisting sliding mode control and artificial neural networks

O Zeb, BT Gul, I Ahmad - 2023 20th International Bhurban …, 2023 - ieeexplore.ieee.org
Due to increasing desire for energy, dwindling fossil assets, and effects of carbon-dioxide
emissions, there is a need of replacement for efficient, and environmentally accountable …

Optimized ANFIS-based robust nonlinear control of a solar off-grid charging station for electric vehicles

BT Gul, I Ahmad, H Rehman, A Hasan - IEEE Access, 2025 - ieeexplore.ieee.org
This paper attempts to improve the performance of an off-grid electric vehicle charging
station powered by photovoltaic (PV) panels and batteries. To ensure optimal performance …

Towards artificial intelligence for solar charge controller: an analytical study of recent status, optimization and module development

AZ Arsad, AD Azhar, SR Arsad, AWM Zuhdi, CF Chau… - Energy Systems, 2025 - Springer
The rising global demand for power, allied with the compelling necessity to shift to
sustainable energy sources, has heightened attention on renewable energy technologies …

Optimizing stand-alone PV systems: A metaheuristic-enhanced fuzzy approach for adaptive MPPT

T Samavat, M Nazari, L Fuhong… - China …, 2025 - ieeexplore.ieee.org
This paper introduces a simple yet effective approach for develo** fuzzy logic controllers
(FLCs) to identify the maximum power point (MPP) and optimize the photovoltaic (PV) …

A Review of Partial Shading MPPT Algorithm on Speed, Accuracy, and Cost Embedded

A Asnil, R Nazir, K Krismadinata, MN Sonni - 2023 - 148.72.244.84
This paper describes several maximum power point tracking algorithms for partial shading
conditions that have detrimental effects on photovoltaic systems. The method used was a …