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Optimal SVC allocation via symbiotic organisms search for voltage security improvement

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dc.citedby6
dc.contributor.authorZamani M.K.M.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorMustaffa S.A.S.en_US
dc.contributor.authorSuliman S.I.en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57189288788en_US
dc.contributor.authorid14034477200en_US
dc.date.accessioned2023-05-29T07:29:38Z
dc.date.available2023-05-29T07:29:38Z
dc.date.issued2019
dc.description.abstractIt is desirable that a power system operation is in a normal operating condition. However, the increase of load demand in a power system has forced the system to operate near to its stability limit whereby an increase in load poses a threat to the power system security. In solving this issue, optimal reactive power support via SVC allocation in a power system has been proposed. In this paper, Symbiotic Organisms Search (SOS) algorithm is implemented to solve for optimal allocation of SVC in the power system. IEEE 26 Bus Reliability Test System is used as the test system. Comparative studies are also conducted concerning Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) techniques based on several case studies. Based on the result, SOS has proven its superiority by producing higher quality solutions compared to PSO and EP. The results of this study can benefit the power system operators in planning for optimal power system operations. � 2019 Universitas Ahmad Dahlan.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.12928/TELKOMNIKA.V17I3.9905
dc.identifier.epage1274
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85070852907
dc.identifier.spage1267
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070852907&doi=10.12928%2fTELKOMNIKA.V17I3.9905&partnerID=40&md5=295fa3282943f44dabed66e8298c7626
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24969
dc.identifier.volume17
dc.publisherUniversitas Ahmad Dahlanen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleTelkomnika (Telecommunication Computing Electronics and Control)
dc.titleOptimal SVC allocation via symbiotic organisms search for voltage security improvementen_US
dc.typeArticleen_US
dspace.entity.typePublication
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