An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources

Alasali, Feras, Nusair, Khaled, Obeidat, Amr M, Foudeh, Husam and Holderbaum, William ORCID: https://orcid.org/0000-0002-1677-9624 (2021) An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources. International Transactions on Electrical Energy Systems, 31 (11). e13060. ISSN 2050-7038

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Abstract

An optimal power management solution is a potential tool to produce cost-effective and environmentally friendly power supply using renewable energy sources (RESs) for the electrical power network. Therefore, the article introduces a novel optimization algorithm inspired by the vitality, namely, Manta Ray Foraging Optimization (MRFO), to figure out both multi- and single-objective problems of optimal power flow (OPF) incorporating stochastic RES. The OPF problems are designed by considering four different objective functions: transmission power loss, emission index, fuel operational costs, and voltage deviation. The stochastic and volatile nature of RES increases the complexity of the OPF issue. In this study, a new MRFO algorithm and some modern metaheuristic algorithms were used to settle the issue of OPF, enhance the energy efficiency, and environmental and cost performance of the power network. The test cases, with and without RES, different RES locations on the network, increase in the load, and outages of some transmission lines, are considered by addressing the challenge of the proposed OPF. These cases are tested with bus systems as 30 and 118, and the outcome from the suggested MRFO is compared with six metaheuristic optimization algorithms. Moreover, OPF challenges are successfully settled by the MRFO algorithm and outperform the proposed metaheuristic optimization methods.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	25 Oct 2022 12:37
Publisher:	Wiley
Additional Information:	This is the peer reviewed version of the following article: Alasali, F, Nusair, K, Obeidat, AM, Foudeh, H, Holderbaum, W. An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources. Int Trans Electr Energ Syst. 2021; 31( 11):e13060, which has been published in final form at https://doi.org/10.1002/2050-7038.13060. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Divisions:	Faculties > Science and Engineering
Subject terms:	0906 Electrical and Electronic Engineering, Energy
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/630635
DOI:	https://doi.org/10.1002/2050-7038.13060
ISSN	2050-7038
e-ISSN	2050-7038

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