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Contingency based congestion management and cost minimization using bee colony optimization technique

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dc.citedby8
dc.contributor.authorRahim M.N.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorid55323600600en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid35944613200en_US
dc.date.accessioned2023-12-29T07:50:24Z
dc.date.available2023-12-29T07:50:24Z
dc.date.issued2010
dc.description.abstractUnexpected contingency occurrence in a power system network can lead to high current flow in the system. This has made the system to be in a stressed condition which causes congestion to the system, while instability can be the next unpredictable incident. High current flow may also impose high fuel cost of the generators. Thus, congestion needs to be managed properly in order to reduce the undesired current flow in the transmission line for maintaining system security. This paper presents contingency based congestion management and cost minimization using bee colony optimization technique. In this study, bee colony optimization technique is applied to optimize the current flow in the system such that system security is preserved; considering transmission lines as the control variables. N-1 contingency is considered as the forecasted event, implemented offline so that the performance of the system can be evaluated. Cost minimization is also conducted by controlling the transmission constraints in the system. Validation through the IEEE 30-reliability test system and 6-Bus test system are conducted to simulate the scenarios. �2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5697705
dc.identifier.doi10.1109/PECON.2010.5697705
dc.identifier.epage896
dc.identifier.scopus2-s2.0-79951805150
dc.identifier.spage891
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79951805150&doi=10.1109%2fPECON.2010.5697705&partnerID=40&md5=6eb89f478e6ac2658dafedb9b3651b0a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30622
dc.pagecount5
dc.sourceScopus
dc.sourcetitlePECon2010 - 2010 IEEE International Conference on Power and Energy
dc.subjectBee colony
dc.subjectCongestion management
dc.subjectCost optimization
dc.subjectElectrical
dc.subjectBandpass filters
dc.subjectElectric lines
dc.subjectOptimization
dc.subjectTransmission line theory
dc.subjectBee colony
dc.subjectColony optimization
dc.subjectCongestion management
dc.subjectControl variable
dc.subjectCost minimization
dc.subjectCost optimization
dc.subjectCurrent flows
dc.subjectElectrical
dc.subjectFuel cost
dc.subjectHigh currents
dc.subjectOffline
dc.subjectPower system networks
dc.subjectReliability test system
dc.subjectSystem security
dc.subjectTest systems
dc.subjectTransmission constraint
dc.subjectTransmission line
dc.subjectCosts
dc.titleContingency based congestion management and cost minimization using bee colony optimization techniqueen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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