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 …

Comparative and comprehensive review of maximum power point tracking methods for PV cells

MA Danandeh - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
The energy problem is one of the most important and serious problems that humanity is
faced with it and this is while the fossil fuels are running out, so finding new sources of …

A comprehensive comparison of different MPPT techniques for photovoltaic systems

H Rezk, AM Eltamaly - Solar energy, 2015 - Elsevier
This paper aimed to study the behavior of different maximum power point tracking (MPPT)
techniques applied to PV systems. In this work, techniques such as hill climbing (HC) …

Assessment of the incremental conductance maximum power point tracking algorithm

MA Elgendy, B Zahawi… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
An efficient, cost-effective maximum power point tracking (MPPT) algorithm is required to
improve the energy utilization efficiency of low power photovoltaic (PV) systems. This paper …

A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids

CS Karavas, G Kyriakarakos, KG Arvanitis… - Energy Conversion and …, 2015 - Elsevier
The autonomous polygeneration microgrid topology has been developed in order to cover
holistically needs in a remote area such as electrical energy, space heating and cooling …

ANN based MPPT method for rapidly variable shading conditions

SA Rizzo, G Scelba - Applied Energy, 2015 - Elsevier
This paper proposes a novel Maximum Power Point Tracking (MPPT) method suitable for
any application in which very fast changing and not uniform shading conditions continuously …

Artificial intelligence techniques for photovoltaic applications: A review

A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems

CB Salah, M Ouali - Electric Power Systems Research, 2011 - Elsevier
This paper proposes two methods of maximum power point tracking using a fuzzy logic and
a neural network controllers for photovoltaic systems. The two maximum power point …

Optimized fuzzy controller for MPPT of grid-connected PV systems in rapidly changing atmospheric conditions

M Dehghani, M Taghipour… - Journal of Modern …, 2020 - ieeexplore.ieee.org
Due to nonlinear behavior of power production of photovoltaic (PV) systems, it is necessary
to apply the maximum power point tracking (MPPT) techniques to generate the maximum …

Novel enhancement of energy management in fuel cell hybrid electric vehicle by an advanced dynamic model predictive control

A Anbarasu, TQ Dinh, S Sengupta - Energy Conversion and Management, 2022 - Elsevier
In this paper, an Advanced Dynamic Model Predictive Control (AMPC) based on a Nonlinear
Model Predictive Control (NMPC) framework with a multi-objective cost function driven by …