A MCDM Knowledge Based Scheme for Coordinated Voltage Control

dc.contributor.authorMa, H.M
dc.contributor.authorMan, K.F
dc.contributor.authorHill, David
dc.coverage.spatialChicago USA
dc.date.accessioned2015-12-08T22:36:13Z
dc.date.createdApril 21-24 2008
dc.date.issued2008
dc.date.updated2016-02-24T10:58:03Z
dc.description.abstractA new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate.
dc.identifier.urihttp://hdl.handle.net/1885/35157
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE PES Transmission and Distribution Conference and Exposition 2008
dc.sourceProceedings of IEEE PES Transmission and Distribution Conference and Exposition 2008
dc.subjectKeywords: Control solutions; Control strategies; Coordinated voltage control; Data base; Evolutionary multiobjective optimization; Jumping gene; Multiple criteria decision making; Nonlinear power system model; Power voltage; Real time; System output; Voltage stabil Genetic algorithms; Multiple criteria decision making; Voltage control; Voltage stability
dc.titleA MCDM Knowledge Based Scheme for Coordinated Voltage Control
dc.typeConference paper
local.bibliographicCitation.lastpage6
local.bibliographicCitation.startpage1
local.contributor.affiliationMa, H.M, City University of Hong Kong
local.contributor.affiliationMan, K.F, City University of Hong Kong
local.contributor.affiliationHill, David, College of Engineering and Computer Science, ANU
local.contributor.authoruidHill, David, u4218741
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090607 - Power and Energy Systems Engineering (excl. Renewable Power)
local.identifier.ariespublicationu4334215xPUB121
local.identifier.doi10.1109/TDC.2008.4517127
local.identifier.scopusID2-s2.0-77950985854
local.type.statusPublished Version

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