File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Ordinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market

TitleOrdinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market
Authors
KeywordsGenetic algorithm
Mixed integer optimization
Opportunity cost
Ordinal optimization
Reactive power optimization
Issue Date2008
Citation
Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2008, v. 28 n. 2, p. 1-5 How to Cite?
AbstractGenerators and capacitors are main reactive power sources for reactive load demands and system voltage stability. The cost of reactive power resource should be considered in dispatch optimization, based on which the reactive power market is built. A reactive power optimization model based on reactive power cost is proposed, which regards the on-off of capacitor as O-1 variable. The reactive power optimization becomes the non-linear programming of mixed integers, to which genetic algorithm with cascaded encoding is applied. The ordinal optimization theory is introduced to direct the individual selection and generation times of genetic algorithm. Its reliability is evaluated quantitatively. Simulation results of IEEE 30-bus system show its effectiveness. The operating conditions and relevant benefits are analyzed based on 5 cases.
Persistent Identifierhttp://hdl.handle.net/10722/155440
ISSN
2015 SCImago Journal Rankings: 0.427
References

 

DC FieldValueLanguage
dc.contributor.authorZhao, Den_HK
dc.contributor.authorHe, Gen_HK
dc.contributor.authorZhong, Jen_HK
dc.contributor.authorNi, Yen_HK
dc.date.accessioned2012-08-08T08:33:30Z-
dc.date.available2012-08-08T08:33:30Z-
dc.date.issued2008en_HK
dc.identifier.citationDianli Zidonghua Shebei / Electric Power Automation Equipment, 2008, v. 28 n. 2, p. 1-5en_HK
dc.identifier.issn1006-6047en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155440-
dc.description.abstractGenerators and capacitors are main reactive power sources for reactive load demands and system voltage stability. The cost of reactive power resource should be considered in dispatch optimization, based on which the reactive power market is built. A reactive power optimization model based on reactive power cost is proposed, which regards the on-off of capacitor as O-1 variable. The reactive power optimization becomes the non-linear programming of mixed integers, to which genetic algorithm with cascaded encoding is applied. The ordinal optimization theory is introduced to direct the individual selection and generation times of genetic algorithm. Its reliability is evaluated quantitatively. Simulation results of IEEE 30-bus system show its effectiveness. The operating conditions and relevant benefits are analyzed based on 5 cases.en_HK
dc.languageengen_US
dc.relation.ispartofDianli Zidonghua Shebei / Electric Power Automation Equipmenten_HK
dc.subjectGenetic algorithmen_HK
dc.subjectMixed integer optimizationen_HK
dc.subjectOpportunity costen_HK
dc.subjectOrdinal optimizationen_HK
dc.subjectReactive power optimizationen_HK
dc.titleOrdinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity marketen_HK
dc.typeArticleen_HK
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hken_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-40449141651en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-40449141651&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume28en_HK
dc.identifier.issue2en_HK
dc.identifier.spage1en_HK
dc.identifier.epage5en_HK
dc.identifier.scopusauthoridZhao, D=7403489813en_HK
dc.identifier.scopusauthoridHe, G=26643277800en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats