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 …

Comprehensive review of conventional and emerging maximum power point tracking algorithms for uniformly and partially shaded solar photovoltaic systems

M Kumar, KP Panda, JC Rosas-Caro… - Ieee …, 2023 - ieeexplore.ieee.org
Renewable energy utilization is the only suitable solution to diminish the increasing level of
greenhouse gas emissions, fuel costs, and energy crisis in the next generation. Out of many …

[HTML][HTML] Classification and evaluation review of maximum power point tracking methods

AO Baba, G Liu, X Chen - Sustainable Futures, 2020 - Elsevier
Photovoltaic (PV) systems have witnessed a rapid increment, the yield mainly relies on the
working condition. In most cases, it is hard to obtain the optimal yield. Therefore, Maximum …

Perovskite photovoltaics for dim‐light applications

CY Chen, JH Chang, KM Chiang, HL Lin… - Advanced Functional …, 2015 - Wiley Online Library
The use of photovoltaic cells with an organometallic perovskite as the active layer for indoor
dim‐light energy harvesting is evaluated. By designing the electron‐transporting materials …

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 …

[HTML][HTML] Analysis of photovoltaic array maximum power point tracking under uniform environment and partial shading condition: A review

J Li, Y Wu, S Ma, M Chen, B Zhang, B Jiang - Energy Reports, 2022 - Elsevier
With the expansion of the scale of application of photovoltaic (PV) power generation, PV
maximum power point tracking (MPPT) technology has been transformed from uniform …

A review of artificial intelligence-based optimization techniques for the sizing of integrated renewable energy systems in smart cities

AB Kanase-Patil, AP Kaldate… - Environmental …, 2020 - Taylor & Francis
ABSTRACT In the Smart City, the Integrated Renewable Energy System (IRES) is playing a
crucial role. Integrating the available renewable energy sources is useful in solving energy …

IC-based variable step size neuro-fuzzy MPPT improving PV system performances

A Harrag, S Messalti - Energy Procedia, 2019 - Elsevier
This paper addresses the development of a Neuro-Fuzzy IC variable step size MPPT
controller. Firstly, the proposed MPPT controller is developed in an offline mode required for …

A comparative study of maximum power point tracking techniques for a photovoltaic grid-connected system

S Louarem, FZ Kebbab, H Salhi… - Electrical Engineering & …, 2022 - eie.khpi.edu.ua
Purpose. In recent years, the photovoltaic systems (PV) become popular due to several
advantages among the renewable energy. Tracking maximum power point in PV systems is …

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and RBFNSM for wind turbine in the grid connected mode

A Rezvani, A Esmaeily, H Etaati… - Frontiers in Energy, 2019 - Springer
Photovoltaic (PV) generation is growing increasingly fast as a renewable energy source.
Nevertheless, the drawback of the PV system is intermittent because of depending on …