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Conference Paper: Available transfer capability calculation with post-contingency generation rescheduling/load curtailment

TitleAvailable transfer capability calculation with post-contingency generation rescheduling/load curtailment
Authors
Issue Date2003
PublisherIEEE.
Citation
The 6th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, China, 11-14 November 2003, v. 2, p. 563-568 How to Cite?
AbstractThe available transfer capability (ATC) is an important index indicating the remaining transfer capability in the physical transmission network for further commercial activity above existing commitments. In this paper, ATC mathematical model considering post-contingency generation rescheduling and load curtailment is first formulated. Benders decomposition method is then used to partition the ATC model above into a base case master problem and a series of independent subproblems relevant to various contingencies. Finally, an improved parallel solution scheme is employed to improve the convergence. Numerical results on a 4-bus test system show clearly the effectiveness of the presented method and necessity of considering post-contingency generation rescheduling and load curtailment in calculating ATC.
Persistent Identifierhttp://hdl.handle.net/10722/46417
References

 

DC FieldValueLanguage
dc.contributor.authorLi, WXen_HK
dc.contributor.authorLi, ZMen_HK
dc.contributor.authorNi, YXen_HK
dc.contributor.authorWu, FFen_HK
dc.date.accessioned2007-10-30T06:49:25Z-
dc.date.available2007-10-30T06:49:25Z-
dc.date.issued2003en_HK
dc.identifier.citationThe 6th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, China, 11-14 November 2003, v. 2, p. 563-568en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46417-
dc.description.abstractThe available transfer capability (ATC) is an important index indicating the remaining transfer capability in the physical transmission network for further commercial activity above existing commitments. In this paper, ATC mathematical model considering post-contingency generation rescheduling and load curtailment is first formulated. Benders decomposition method is then used to partition the ATC model above into a base case master problem and a series of independent subproblems relevant to various contingencies. Finally, an improved parallel solution scheme is employed to improve the convergence. Numerical results on a 4-bus test system show clearly the effectiveness of the presented method and necessity of considering post-contingency generation rescheduling and load curtailment in calculating ATC.en_HK
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dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofSixth International Conference on Advances in Power System Control, Operation and Management - Proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2003 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.en_HK
dc.titleAvailable transfer capability calculation with post-contingency generation rescheduling/load curtailmenten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailNi, YX: yxni@eee.hku.hken_HK
dc.identifier.emailWu, FF: ffwu@eee.hku.hken_HK
dc.identifier.authorityNi, YX=rp00161en_HK
dc.identifier.authorityWu, FF=rp00194en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-4344626874en_HK
dc.identifier.hkuros89860-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4344626874&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage563en_HK
dc.identifier.epage568en_HK
dc.identifier.scopusauthoridLi, WX=7501792199en_HK
dc.identifier.scopusauthoridLi, ZM=7409074198en_HK
dc.identifier.scopusauthoridNi, YX=7402910021en_HK
dc.identifier.scopusauthoridWu, FF=7403465107en_HK

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