Nassef, Ahmed M., Abdelkareem, Mohammad Ali, Maghrabie, Hussein M. and Baroutaji, Ahmad (2023). Review of Metaheuristic Optimization Algorithms for Power Systems Problems. Sustainability, 15 (12),
Abstract
Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly when information is sparse or inaccurate or computer capability is restricted. Power systems play a crucial role in promoting environmental sustainability by reducing greenhouse gas emissions and supporting renewable energy sources. Using metaheuristics to optimize the performance of modern power systems is an attractive topic. This research paper investigates the applicability of several metaheuristic optimization algorithms to power system challenges. Firstly, this paper reviews the fundamental concepts of metaheuristic optimization algorithms. Then, six problems regarding the power systems are presented and discussed. These problems are optimizing the power flow in transmission and distribution networks, optimizing the reactive power dispatching, optimizing the combined economic and emission dispatching, optimal Volt/Var controlling in the distribution power systems, and optimizing the size and placement of DGs. A list of several used metaheuristic optimization algorithms is presented and discussed. The relevant results approved the ability of the metaheuristic optimization algorithm to solve the power system problems effectively. This, in particular, explains their wide deployment in this field.
Publication DOI: | https://doi.org/10.3390/su15129434 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology College of Engineering & Physical Sciences |
Additional Information: | Copyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Funding Information: This study was sponsored by the Prince Sattam bin Abdulaziz University via project number 2023/RV/016. |
Uncontrolled Keywords: | Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction |
Publication ISSN: | 2071-1050 |
Last Modified: | 06 Aug 2024 09:50 |
Date Deposited: | 22 Jun 2023 08:46 |
Full Text Link: | |
Related URLs: |
https://www.mdp ... 1050/15/12/9434
(Publisher URL) |
PURE Output Type: | Review article |
Published Date: | 2023-06-12 |
Published Online Date: | 2023-06-12 |
Accepted Date: | 2023-06-09 |
Authors: |
Nassef, Ahmed M.
Abdelkareem, Mohammad Ali Maghrabie, Hussein M. Baroutaji, Ahmad ( ![]() |