Salp swarm algorithm: a comprehensive survey

L Abualigah, M Shehab, M Alshinwan… - Neural Computing and …, 2020 - Springer
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

[HTML][HTML] Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies

M Mao, L Cui, Q Zhang, K Guo, L Zhou, H Huang - Energy Reports, 2020 - Elsevier
The output power–voltage (P–V) curve of a solar photovoltaic (PV) power system shows a
single peak under an even irradiation environment, nevertheless, but often exhibits seriously …

Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition

B Yang, L Zhong, X Zhang, H Shu, T Yu, H Li… - Journal of cleaner …, 2019 - Elsevier
This paper proposes a novel bio-inspired optimization method named memetic salp swarm
algorithm (MSSA). It is developed by extending the original salp swarm algorithm (SSA) with …

Environmental impacts on the performance of solar photovoltaic systems

RJ Mustafa, MR Gomaa, M Al-Dhaifallah, H Rezk - Sustainability, 2020 - mdpi.com
This study scrutinizes the reliability and validity of existing analyses that focus on the impact
of various environmental factors on a photovoltaic (PV) system's performance. For the first …

Management of potential challenges of PV technology proliferation

AH Alami, MKH Rabaia, ET Sayed, M Ramadan… - Sustainable Energy …, 2022 - Elsevier
Solar photovoltaic technology is a key renewable energy division that has proven effective
especially in high solar irradiance regions. However, there the technology faces various …

Design and hardware implementation of new adaptive fuzzy logic-based MPPT control method for photovoltaic applications

H Rezk, M Aly, M Al-Dhaifallah, M Shoyama - Ieee Access, 2019 - ieeexplore.ieee.org
An adaptive fuzzy logic (FL)-based new maximum power point (MPP) tracking (MPPT)
methodology for controlling photovoltaic (PV) systems is proposed, designed, and …

[HTML][HTML] A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under …

MS Wasim, M Amjad, S Habib, MA Abbasi, AR Bhatti… - Energy Reports, 2022 - Elsevier
This article presents a comparative analysis of the latest swarm-based optimization
approaches under partial shading conditions (PSCs) for maximum power point tracking …

Swarm intelligence-based MPPT design for PV systems under diverse partial shading conditions

DJK Kishore, MR Mohamed, K Sudhakar… - Energy, 2023 - Elsevier
The photovoltaic (PV) system has attracted attention in recent years for generating more
power and freer from pollution and being eco-friendly to the environment. Nonetheless, the …

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 …

A new strategy based on slime mould algorithm to extract the optimal model parameters of solar PV panel

M Mostafa, H Rezk, M Aly, EM Ahmed - Sustainable Energy Technologies …, 2020 - Elsevier
This paper presents a new parameters estimation method for the single diode model and the
double diode model of photovoltaic cells. A new application of the slime mould algorithm …