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 …

Hybrid maximum power extraction methods for photovoltaic systems: A comprehensive review

H Liu, MYA Khan, X Yuan - Energies, 2023 - mdpi.com
To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV
system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power …

A taxonomical review on recent artificial intelligence applications to PV integration into power grids

C Feng, Y Liu, J Zhang - International Journal of Electrical Power & Energy …, 2021 - Elsevier
The exponential growth of solar power has been witnessed in the past decade and is
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …

Hybrid maximum power point tracking techniques: A comparative survey, suggested classification and uninvestigated combinations

MG Batarseh, ME Za'ter - Solar Energy, 2018 - Elsevier
Abstract Maximum Power Point Tracking (MPPT) of Photovoltaic (PV) arrays is inevitable to
maximize the power transfer and improve the system efficiency. Many MPPT techniques …

[PDF][PDF] New improved MPPT based on artificial neural network and PI controller for photovoltaic applications

YEA Idrissi, K Assalaou, L Elmahni… - International Journal of …, 2022 - academia.edu
This paper details an maximum power point tracking (MPPT) approach based on artificial
neural network (ANN) to track the maximum power produced by a PV panel. This approach …

Systematic literature review and benchmarking for photovoltaic MPPT techniques

H Abidi, L Sidhom, I Chihi - Energies, 2023 - mdpi.com
There are a variety of maximum power point tracking (MPPT) algorithms for improving the
energy efficiency of solar photovoltaic (PV) systems. The mode of implementation (digital or …

Optimization technique based fuzzy logic controller for MPPT of solar PV system

SK Saha - … International Conference on Emerging Trends and …, 2018 - ieeexplore.ieee.org
Sunlight based Photovoltaic (PV) is a vital sustainable power hotspot for mankind. The
productivity of the PV framework is subject to the different ecological elements like …

Osprey optimization algorithm for MPPT of PV system with forward DC to DC converter under partial shading conditions

SN Rao, BMK Kumar, YV Suresh… - Engineering …, 2024 - iopscience.iop.org
Electric power is required anywhere for multiple purposes to do various tasks. Production of
electricity from renewable sources such solar energy is feasible solution for many problems …

Improved maximum power point tracking using fuzzy logic control with SEPIC converter for photovoltaic systems

M Boutouba, S Assahout, A El Ougli… - 2018 6th International …, 2018 - ieeexplore.ieee.org
In this paper, an intelligent technique of maximum power point tracking (MPPT) is presented,
using fuzzy logic control with the single ended primary inductor converter (SEPIC), and that …

A detailed review on intelligent maximum power point tracking algorithms

G Priyanka, SK Dash - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
This research work presents a comprehensive study about the intelligent maximum power
point tracking (MPPT) method. The drawbacks of the conventional methods like perturb and …