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Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

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dc.citedby2
dc.contributor.authorMohamad Zamani M.K.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorSuliman S.I.en_US
dc.contributor.authorSyed Mustaffa S.A.en_US
dc.contributor.authorMohd Ali N.Z.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorAbdul Hamid Z.en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid14034477200en_US
dc.contributor.authorid57189288788en_US
dc.contributor.authorid57205497410en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid57215060941en_US
dc.date.accessioned2023-05-29T08:11:05Z
dc.date.available2023-05-29T08:11:05Z
dc.date.issued2020
dc.descriptionComputer programming; Flexible AC transmission systems; Thorium compounds; Allocation problems; Flexible ac transmission system (FACTS); Optimal allocation problems; Optimal compensations; Optimization techniques; Power system operators; Thyristor controlled series compensator; Voltage profile improvement; Particle swarm optimization (PSO)en_US
dc.description.abstractAs the load demand in a power system increases, power system operators struggle to maintain the power system to be operated within its acceptable limits. If no mitigation actions are taken, a power system may suffer from voltage collapse, which in turn leads to blackout. Flexible AC Transmission System (FACTS) devices can be employed to help improve the voltage profile of the power system. This paper presents the implementation of Chaotic Immune Symbiotic Organism Search (CISOS) optimization technique to solve optimal Thyristor Controlled Series Compensator (TCSC) in a power system for voltage profile improvement. Validation process are conducted on IEEE 26-bus RTS resulting in the capability of CISOS in solving the allocation problem with a better voltage profile. Comparative studies conducted with respect to Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has revealed the superiority of CISOS over PSO and EP in solving the optimal allocation problem by producing optimal solution with a better voltage profile. The results and information obtained from this study can help power system operator in terms of optimal compensation in power system as well as improving the operation of a power system. � 2020 The Authors, published by EDP Sciences.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo3002
dc.identifier.doi10.1051/e3sconf/202015203002
dc.identifier.scopus2-s2.0-85079768466
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079768466&doi=10.1051%2fe3sconf%2f202015203002&partnerID=40&md5=77fe3c23341672c77ca430913855c38d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25572
dc.identifier.volume152
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleE3S Web of Conferences
dc.titleOptimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvementen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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