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A computational intelligence-based technique for the installation of multi-type facts devices

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dc.contributor.authorYen W.C.M.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorid57320550100en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid8620004100en_US
dc.date.accessioned2023-05-29T09:11:03Z
dc.date.available2023-05-29T09:11:03Z
dc.date.issued2021
dc.description.abstractAs power demand rises, the power system becomes more stressed, potentially leading to an increase in power losses. When compared to lower power losses, higher power losses result in higher power system operating cost. Flexible AC Transmission System (FACTS) devices help to reduce power losses. This paper describes the use of a computational intelligence-based technique, in this case the Artificial Immune System (AIS), to solve the installation of Thyristor Controlled Static Compensator (TCSC) and Static VAR Compensator (SVC) in a power system while ensuring optimal sizing of both devices. The goal of determining the best locations and sizes for the multi-type FACTS devices is to minimize system power loss. Three case studies are presented to investigate the effectiveness of the proposed AIS optimization technique in solving the multi-type FACTS device installation problem under various power system conditions. The optimization results generated by the proposed AIS are beneficial in improving the power system, particularly in terms of system power loss minimization, which also contributes to power system operating cost minimization. As a result, the likelihood of this being sustainable and able to be implemented for an extended period is greater. � 2021, Semnan University, Center of Excellence in Nonlinear Analysis and Applications. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.22075/IJNAA.2021.5571
dc.identifier.epage1102
dc.identifier.issueSpecial Issue
dc.identifier.scopus2-s2.0-85118358012
dc.identifier.spage1091
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118358012&doi=10.22075%2fIJNAA.2021.5571&partnerID=40&md5=bde72766b267befb49be7ae8bc2c9e9e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26483
dc.identifier.volume12
dc.publisherSemnan University, Center of Excellence in Nonlinear Analysis and Applicationsen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Nonlinear Analysis and Applications
dc.titleA computational intelligence-based technique for the installation of multi-type facts devicesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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