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Power System Controlled Islanding using Modified Discrete Optimization Techniques

Computer programming; Distributed power generation; Electric lines; Electric power system control; Electric power transmission; Light transmission; Particle swarm optimization (PSO); Power control; Controlled islanding; Discrete particle swarm optimization; Evolutionary programming techniques; Minim...

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Main Authors: Saharuddin N.Z., Abidin I.Z., Mokhlis H., Hassan M.Y.
Other Authors: 55613455300
Format: Article
Published: Science and Information Organization 2023
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spelling my.uniten.dspace-265082023-05-29T17:11:19Z Power System Controlled Islanding using Modified Discrete Optimization Techniques Saharuddin N.Z. Abidin I.Z. Mokhlis H. Hassan M.Y. 55613455300 35606640500 8136874200 55322556200 Computer programming; Distributed power generation; Electric lines; Electric power system control; Electric power transmission; Light transmission; Particle swarm optimization (PSO); Power control; Controlled islanding; Discrete particle swarm optimization; Evolutionary programming techniques; Minimal power; Minimal power flow disruption; Modified discrete evolutionary programming technique; Modified discrete particle swarm optimization technique; Particle swarm optimization technique; Power flows; Power imbalance; Electric load flow Controlled islanding is implemented to save the power system from experiencing blackouts during severe sequence line tripping. The power system is partitioned into several stand-alone islands by removing the optimal transmission line during controlled islanding execution. Since selecting the optimal transmission lines to be removed (cutsets) is important in this action, a good technique is required in order to determine the optimal islanding solution (lines to be removed). Thus, this paper developed two techniques, namely Modified Discrete Evolutionary Programming (MDEP) and Modified Discrete Particle Swarm Optimization (MDPSO) to determine the optimal islanding solution for controlled islanding implementation. The best technique among these two which is based on their capability of producing the optimal islanding solution with minimal objective function (minimal power flow disruption) will be selected to implement the controlled islanding. The performance of these techniques is evaluated through case studies using the IEEE 118-bus test system. The results show that the MDEP technique produces the best optimal islanding solution compared to the MDPSO and other previously published techniques. � 2021. All Rights Reserved. Final 2023-05-29T09:11:19Z 2023-05-29T09:11:19Z 2021 Article 10.14569/IJACSA.2021.0120756 2-s2.0-85112239696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112239696&doi=10.14569%2fIJACSA.2021.0120756&partnerID=40&md5=72d29dc4077b953aa8d97536feda9d2b https://irepository.uniten.edu.my/handle/123456789/26508 12 7 487 492 All Open Access, Gold Science and Information Organization Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer programming; Distributed power generation; Electric lines; Electric power system control; Electric power transmission; Light transmission; Particle swarm optimization (PSO); Power control; Controlled islanding; Discrete particle swarm optimization; Evolutionary programming techniques; Minimal power; Minimal power flow disruption; Modified discrete evolutionary programming technique; Modified discrete particle swarm optimization technique; Particle swarm optimization technique; Power flows; Power imbalance; Electric load flow
author2 55613455300
author_facet 55613455300
Saharuddin N.Z.
Abidin I.Z.
Mokhlis H.
Hassan M.Y.
format Article
author Saharuddin N.Z.
Abidin I.Z.
Mokhlis H.
Hassan M.Y.
spellingShingle Saharuddin N.Z.
Abidin I.Z.
Mokhlis H.
Hassan M.Y.
Power System Controlled Islanding using Modified Discrete Optimization Techniques
author_sort Saharuddin N.Z.
title Power System Controlled Islanding using Modified Discrete Optimization Techniques
title_short Power System Controlled Islanding using Modified Discrete Optimization Techniques
title_full Power System Controlled Islanding using Modified Discrete Optimization Techniques
title_fullStr Power System Controlled Islanding using Modified Discrete Optimization Techniques
title_full_unstemmed Power System Controlled Islanding using Modified Discrete Optimization Techniques
title_sort power system controlled islanding using modified discrete optimization techniques
publisher Science and Information Organization
publishDate 2023
_version_ 1806423325702881280
score 13.211869

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