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Article: Parallel and distributed state estimation

TitleParallel and distributed state estimation
Authors
Issue Date1995
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
Citation
Ieee Transactions On Power Systems, 1995, v. 10 n. 2, p. 724-730 How to Cite?
AbstractThe need in recent years for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed Energy Management Systems, based on fast data communication networks, open up the possibility of parallel or distributed state estimation implementation. In this paper, this possibility is exploited to derive a solution methodology based on conventional state estimation algorithms and a coupling constraints optimization technique. Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency. The results of these experiments also indicate the decoupled nature of the state estimation problem.
Persistent Identifierhttp://hdl.handle.net/10722/42728
ISSN
2015 Impact Factor: 3.342
2015 SCImago Journal Rankings: 4.126
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFalcao, DMen_HK
dc.contributor.authorWu, Felix Fen_HK
dc.contributor.authorMurphy, Liamen_HK
dc.date.accessioned2007-03-23T04:31:00Z-
dc.date.available2007-03-23T04:31:00Z-
dc.date.issued1995en_HK
dc.identifier.citationIeee Transactions On Power Systems, 1995, v. 10 n. 2, p. 724-730en_HK
dc.identifier.issn0885-8950en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42728-
dc.description.abstractThe need in recent years for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed Energy Management Systems, based on fast data communication networks, open up the possibility of parallel or distributed state estimation implementation. In this paper, this possibility is exploited to derive a solution methodology based on conventional state estimation algorithms and a coupling constraints optimization technique. Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency. The results of these experiments also indicate the decoupled nature of the state estimation problem.en_HK
dc.format.extent663607 bytes-
dc.format.extent28160 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59en_HK
dc.relation.ispartofIEEE Transactions on Power Systemsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1995 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.titleParallel and distributed state estimationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0885-8950&volume=10&issue=2&spage=724&epage=730&date=1995&atitle=Parallel+and+distributed+state+estimationen_HK
dc.identifier.emailWu, Felix F: ffwu@eee.hku.hken_HK
dc.identifier.authorityWu, Felix F=rp00194en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/59.387909en_HK
dc.identifier.scopuseid_2-s2.0-0029304979en_HK
dc.identifier.hkuros15313-
dc.identifier.volume10en_HK
dc.identifier.issue2en_HK
dc.identifier.spage724en_HK
dc.identifier.epage730en_HK
dc.identifier.isiWOS:A1995RB28900029-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFalcao, DM=7007084799en_HK
dc.identifier.scopusauthoridWu, Felix F=7403465107en_HK
dc.identifier.scopusauthoridMurphy, Liam=7201572469en_HK
dc.identifier.citeulike4284291-

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