A MCDM Knowledge Based Scheme for Coordinated Voltage Control
| dc.contributor.author | Ma, H.M | |
| dc.contributor.author | Man, K.F | |
| dc.contributor.author | Hill, David | |
| dc.coverage.spatial | Chicago USA | |
| dc.date.accessioned | 2015-12-08T22:36:13Z | |
| dc.date.created | April 21-24 2008 | |
| dc.date.issued | 2008 | |
| dc.date.updated | 2016-02-24T10:58:03Z | |
| dc.description.abstract | A 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.uri | http://hdl.handle.net/1885/35157 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
| dc.relation.ispartofseries | IEEE PES Transmission and Distribution Conference and Exposition 2008 | |
| dc.source | Proceedings of IEEE PES Transmission and Distribution Conference and Exposition 2008 | |
| dc.subject | Keywords: 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.title | A MCDM Knowledge Based Scheme for Coordinated Voltage Control | |
| dc.type | Conference paper | |
| local.bibliographicCitation.lastpage | 6 | |
| local.bibliographicCitation.startpage | 1 | |
| local.contributor.affiliation | Ma, H.M, City University of Hong Kong | |
| local.contributor.affiliation | Man, K.F, City University of Hong Kong | |
| local.contributor.affiliation | Hill, David, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Hill, David, u4218741 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 090607 - Power and Energy Systems Engineering (excl. Renewable Power) | |
| local.identifier.ariespublication | u4334215xPUB121 | |
| local.identifier.doi | 10.1109/TDC.2008.4517127 | |
| local.identifier.scopusID | 2-s2.0-77950985854 | |
| local.type.status | Published Version |