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Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index

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dc.citedby1
dc.contributor.authorVerayiah R.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorShareef H.en_US
dc.contributor.authorAbidin I.H.Z.en_US
dc.contributor.authorid26431682500en_US
dc.contributor.authorid57195440511en_US
dc.contributor.authorid57189691198en_US
dc.contributor.authorid35606640500en_US
dc.date.accessioned2023-05-29T06:38:16Z
dc.date.available2023-05-29T06:38:16Z
dc.date.issued2017
dc.descriptionElectric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding; Electric load sheddingen_US
dc.description.abstractThis paper demonstrates on the development of weak bus identification method using novel reactive power tracing index for determination and selection on appropriate buses for load shedding purpose. Power tracing principles using downstream looking algorithm is utilized for the development of a novel reactive power tracing index known as LQP-LT. The results obtained from the weak bus identification from various power system contingencies are analyzed for determination of the load shed amount. Optimization on the total amount of load shed is customized based on multi-objective functions via backtracking search algorithm. The objective functions are set to minimize the amount of load shedding and to minimize the total LQP-LT indices for all buses. A standard IEEE 57 test bus system is used as a data platform for the power flow simulations carried out in MATLAB environment. The results obtained post-load shedding for the proposed method is found to be robust, efficient and reliable for the implementation and execution of optimized amount and location selection for Under Voltage Load Shedding scheme in large network. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7951628
dc.identifier.doi10.1109/PECON.2016.7951628
dc.identifier.epage590
dc.identifier.scopus2-s2.0-85024365624
dc.identifier.spage585
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85024365624&doi=10.1109%2fPECON.2016.7951628&partnerID=40&md5=14423653185d94313434865b468b493c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23186
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitlePECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
dc.titleDevelopment of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing indexen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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