A comprehensive review of maximum power point tracking (mppt) techniques used in solar pv systems

ML Katche, AB Makokha, SO Zachary, MS Adaramola - Energies, 2023 - mdpi.com
Renewable Energy technologies are becoming suitable options for fast and reliable
universal electricity access for all. Solar photovoltaic, being one of the RE technologies …

Moth–flame optimization algorithm: variants and applications

M Shehab, L Abualigah, H Al Hamad, H Alabool… - Neural Computing and …, 2020 - Springer
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …

Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multi-type DGs in …

MA Elseify, FA Hashim, AG Hussien, S Kamel - Applied Energy, 2024 - Elsevier
This paper proposes a novel placement technique based on the improved golden jackal
optimization (IGJO) algorithm for multiple capacitor banks (CBs) and multi-type DGs in a …

Moth flame optimization: theory, modifications, hybridizations, and applications

SK Sahoo, AK Saha, AE Ezugwu, JO Agushaka… - … Methods in Engineering, 2023 - Springer
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system

H Rezk, ALO Mazen, MR Gomaa, MA Tolba… - … and Sustainable Energy …, 2019 - Elsevier
A novel statistical performance evaluation of most modern optimization-based global MPPT
techniques for partially shaded PV system is presented in this paper. In recent years, there …

Dragonfly algorithm and its applications in applied science survey

CM Rahman, TA Rashid - Computational Intelligence and …, 2019 - Wiley Online Library
One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili.
Dragonfly algorithm has shown its ability to optimizing different real‐world problems. It has …

Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques

AAZ Diab, HM Sultan, ON Kuznetsov - Environmental Science and …, 2020 - Springer
Providing access to clean, reliable, and affordable energy by adopting hybrid power systems
is important for countries looking to achieve their sustainable development goals. This paper …

A comprehensive review of recent maximum power point tracking techniques for photovoltaic systems under partial shading

MY Worku, MA Hassan, LS Maraaba, M Shafiullah… - Sustainability, 2023 - mdpi.com
To operate photovoltaic (PV) systems efficiently, the maximum available power should
always be extracted. However, due to rapidly varying environmental conditions such as …

A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach

PK Pathak, AK Yadav, PA Alvi - Neural Computing and Applications, 2022 - Springer
To enhance the production of solar photovoltaic (SPV)-based cleaner energy, the maximum
power point (MPP) tracking (MPPT) schemes are utilized. To ensure a reliable and effective …

A comprehensive review of moth-flame optimisation: variants, hybrids, and applications

AG Hussien, M Amin, M Abd El Aziz - Journal of Experimental & …, 2020 - Taylor & Francis
ABSTRACT Moth-flame Optimisation Algorithm (MFO) is a new metaheuristics optimisation
algorithm presented by Mirjalili in 2015 which inspired by the navigation method of moths in …