Publication:
Discrete evolutionary programming for network splitting strategy: Different mutation technique

Simple item page
dc.citedby1
dc.contributor.authorSaharuddin N.Z.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorid55613455300en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid8136874200en_US
dc.date.accessioned2023-05-29T06:50:58Z
dc.date.available2023-05-29T06:50:58Z
dc.date.issued2018
dc.description.abstractNetwork splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (transmission lines to be removed) to ensure that the implementation of network splitting does not cause the system to worsen. Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. Initial cutsets based heuristic technique is employed to help the convergence of the DEP optimization with minimal power flow disruptions as its fitness function. The techniques are validated using the IEEE 30 and IEEE 118-bus system. The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique. � 2018 Institute of Advanced Engineering and Science All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v12.i1.pp261-268
dc.identifier.epage268
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85051268826
dc.identifier.spage261
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051268826&doi=10.11591%2fijeecs.v12.i1.pp261-268&partnerID=40&md5=7c5468945cd37a6d87ef65ea6e0fffc3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23678
dc.identifier.volume12
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleDiscrete evolutionary programming for network splitting strategy: Different mutation techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS