Advances in solar photovoltaic tracking systems: A review

ALR Nadia, NAM Isa, MKM Desa - Renewable and sustainable energy …, 2018 - Elsevier
Solar photovoltaic technology is one of the most important resources of renewable energy.
However, the current solar photovoltaic systems have significant drawbacks, such as high …

Modeling of solar PV module and maximum power point tracking using ANFIS

RK Kharb, SL Shimi, S Chatterji, MF Ansari - Renewable and Sustainable …, 2014 - Elsevier
Solar energy, at the present time is considered as an important source in electricity
generation. Electricity from the solar energy can be generated using solar photovoltaic (PV) …

A hybrid MPPT controller based on the genetic algorithm and ant colony optimization for photovoltaic systems under partially shaded conditions

KH Chao, MN Rizal - Energies, 2021 - mdpi.com
A maximum power point tracking (MPPT) controller was used to make the photovoltaic (PV)
module operate at its maximum power point (MPP) under changing temperature and …

Maximum power point tracking using Hill Climbing and ANFIS techniques for PV applications: A review and a novel hybrid approach

M Lasheen, M Abdel-Salam - Energy conversion and management, 2018 - Elsevier
Abstract The development of Maximum Power Point Tracking (MPPT) techniques is
continuing in order to increase the generated energy from photovoltaic (PV) generators. A …

A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …

LD Jathar, K Nikam, UV Awasarmol, R Gurav, JD Patil… - Heliyon, 2024 - cell.com
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

Computational intelligence techniques for maximum power point tracking in PV systems: A review

LL Jiang, R Srivatsan, DL Maskell - Renewable and Sustainable Energy …, 2018 - Elsevier
Maximum power point (MPP) tracking (MPPT) is an important technique for maximizing the
power extraction from photovoltaic (PV) systems under varying climatic conditions. In an …

An Enhanced P&O MPPT Algorithm for PV Systems with Fast Dynamic and Steady‐State Response under Real Irradiance and Temperature Conditions

A Harrison, EM Nfah… - International Journal …, 2022 - Wiley Online Library
This paper presents an enhanced perturb and observe (P&O) method for reconciling the
trade‐off problem between the dynamic response and steady‐state oscillations in maximum …

Artificial neural networks for controlling wind–PV power systems: A review

K Karabacak, N Cetin - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Nowadays, renewable energy systems are taking place than the conventional energy
systems. Especially, PV systems and wind energy conversion systems (WECS) are taking a …

Neural network approach to MPPT control and irradiance estimation

Ž Zečević, M Rolevski - Applied sciences, 2020 - mdpi.com
Photovoltaic (PV) modules require maximum power point tracking (MPPT) algorithms to
ensure that the amount of power extracted is maximized. In this paper, we propose a low …

Optimized ANN-fuzzy MPPT controller for a stand-alone PV system under fast-changing atmospheric conditions

L Hichem, O Amar, M Leila - Bulletin of Electrical Engineering and …, 2023 - beei.org
Solar energy is one of the most promising renewable energy resources. Over the last few
decades, photovoltaic (PV) systems have grown in popularity. Since the maximum power …