Applications of fuzzy logic in renewable energy systems–a review

L Suganthi, S Iniyan, AA Samuel - Renewable and sustainable energy …, 2015 - Elsevier
In recent years, with the advent of globalization, the world is witnessing a steep rise in its
energy consumption. The world is transforming itself into an industrial and knowledge …

Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study

M Kermadi, EM Berkouk - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an indispensable
task. To date, various MPPT techniques have been proposed in the literature using classical …

A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions

S Titri, C Larbes, KY Toumi, K Benatchba - Applied Soft Computing, 2017 - Elsevier
Abstract The Maximum Power Point Tracking controller (MPPT) is a key element in
Photovoltaic systems (PV). It is used to maintain the PV operating point at its maximum …

Design of a P-&-O algorithm based MPPT charge controller for a stand-alone 200W PV system

S Salman, X Ai, Z Wu - Protection and control of modern power systems, 2018 - Springer
Solar cells convert sun light into electricity, but have the major drawbacks of high initial cost,
low photo-conversion efficiency and intermittency. The current-voltage characteristics of the …

Different conventional and soft computing MPPT techniques for solar PV systems with high step-up boost converters: A comprehensive analysis

CHH Basha, C Rani - Energies, 2020 - mdpi.com
Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario.
Various maximum power point tracking (MPPT) methods are used in solar PV systems in …

Fuzzy logic based MPPT controller for a PV system

C Robles Algarín, J Taborda Giraldo… - Energies, 2017 - mdpi.com
The output power of a photovoltaic (PV) module depends on the solar irradiance and the
operating temperature; therefore, it is necessary to implement maximum power point …

Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments

YH Liu, CL Liu, JW Huang, JH Chen - Solar energy, 2013 - Elsevier
Photovoltaic (PV) generation systems (PGSs) have become an attractive option among
renewable energy sources because they are clean, maintenance-free and environmental …

Comparative study of Buck-Boost, SEPIC, Cuk and Zeta DC-DC converters using different MPPT methods for photovoltaic applications

JL Seguel, SI Seleme Jr, LMF Morais - Energies, 2022 - mdpi.com
The power produced in a photovoltaic (PV) system is highly dependent on meteorological
conditions and the features of the connected load. Therefore, maximum power point tracking …

Improved performance of a PV solar panel with adaptive neuro fuzzy inference system ANFIS based MPPT

K Amara, A Fekik, D Hocine, ML Bakir… - … energy research and …, 2018 - ieeexplore.ieee.org
This article presents the development of an intelligent technique of Adaptive-Neuro-Fuzzy
Inference System (ANFIS) based on Maximum Power Point Tracking (ANFIS-MPPT) …

Design of an optimal fuzzy controller to obtain maximum power in solar power generation system

S Farajdadian, SMH Hosseini - Solar Energy, 2019 - Elsevier
PV characteristic of the solar cells are nonlinear and depends on the environmental
conditions such as irradiations, sunlight incident angle, cell temperature, and load …