File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Game theoretical multi-agent modelling of coalition formation for multilateral trades

TitleGame theoretical multi-agent modelling of coalition formation for multilateral trades
Authors
Yeung, CSKPoon, ASYWu, FF
KeywordsGame theory
Multi-agent system
Coalition formation
Multilateral trades
Issue Date1999
PublisherIEEE.
Citation
IEEE Transactions on Power Systems, 1999, v. 14 n. 3, p. 929-934 How to Cite?
DOI: http://dx.doi.org/10.1109/59.780905
AbstractIn recent years, electric utility industries worldwide have been undergoing deregulation to introduce competitiveness in the generation, transmission and distribution of electric power. The once centralised system planning and operation management must be remodelled to adapt to the new market structure. In particular, the trading mechanism needs to be totally revised as any party may now get involved in this free-market, subject to the unavoidable constraints such as generation volumes, physical transmission means and days-ahead scheduling. This paper presents a multi-agent model in conjunction with game theory to resolve the coalition formation for multilateral trades. The authors have implemented the model using the Java language and the JATLite/JAT0.3 agent development tools developed by Stanford University.
Persistent Identifierhttp://hdl.handle.net/10722/42821
ISSN
0885-8950
2021 Impact Factor: 7.326
2020 SCImago Journal Rankings: 3.312
ISI Accession Number ID
WOS:000081712900031

 

DC FieldValueLanguage
dc.contributor.authorYeung, CSKen_HK
dc.contributor.authorPoon, ASYen_HK
dc.contributor.authorWu, FFen_HK
dc.date.accessioned2007-03-23T04:32:49Z-
dc.date.available2007-03-23T04:32:49Z-
dc.date.issued1999en_HK
dc.identifier.citationIEEE Transactions on Power Systems, 1999, v. 14 n. 3, p. 929-934en_HK
dc.identifier.issn0885-8950en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42821-
dc.description.abstractIn recent years, electric utility industries worldwide have been undergoing deregulation to introduce competitiveness in the generation, transmission and distribution of electric power. The once centralised system planning and operation management must be remodelled to adapt to the new market structure. In particular, the trading mechanism needs to be totally revised as any party may now get involved in this free-market, subject to the unavoidable constraints such as generation volumes, physical transmission means and days-ahead scheduling. This paper presents a multi-agent model in conjunction with game theory to resolve the coalition formation for multilateral trades. The authors have implemented the model using the Java language and the JATLite/JAT0.3 agent development tools developed by Stanford University.en_HK
dc.format.extent633290 bytes-
dc.format.extent28160 bytes-
dc.format.extent1917 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Power Systems-
dc.rights©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectGame theoryen_HK
dc.subjectMulti-agent systemen_HK
dc.subjectCoalition formationen_HK
dc.subjectMultilateral tradesen_HK
dc.titleGame theoretical multi-agent modelling of coalition formation for multilateral tradesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0885-8950&volume=14&issue=3&spage=929&epage=934&date=1999&atitle=Game+theoretical+multi-agent+modelling+of+coalition+formation+for+multilateral+tradesen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/59.780905en_HK
dc.identifier.scopuseid_2-s2.0-0032592981-
dc.identifier.hkuros46185-
dc.identifier.isiWOS:000081712900031-
dc.identifier.issnl0885-8950-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats