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Article: Distributed Hybrid Power State Estimation under PMU Sampling Phase Errors

TitleDistributed Hybrid Power State Estimation under PMU Sampling Phase Errors
Authors
Issue Date2014
Citation
IEEE Transactions on Signal Processing, 2014, v. 62, p. 4052-4063 How to Cite?
AbstractPhasor measurement units (PMUs) have the advan- tage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional supervisory control and data acquisition (SCADA) system cannot be replaced by the PMU-based system overnight. Therefore, hy- brid power state estimation taking advantage of both systems is im- portant. As experiments show that sampling phase errors among PMUs are inevitable in practical deployment, this paper proposes a distributed power state estimation algorithm under PMU phase er- rors. The proposed distributed algorithm only involves local com- putations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the per- formance of the proposed algorithm is very close to that of central- ized optimal hybrid state estimates without sampling phase error.
Persistent Identifierhttp://hdl.handle.net/10722/215305

 

DC FieldValueLanguage
dc.contributor.authorDU, J-
dc.contributor.authorMa, S-
dc.contributor.authorWu, YC-
dc.contributor.authorPoor, VH-
dc.date.accessioned2015-08-21T13:21:20Z-
dc.date.available2015-08-21T13:21:20Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Signal Processing, 2014, v. 62, p. 4052-4063-
dc.identifier.urihttp://hdl.handle.net/10722/215305-
dc.description.abstractPhasor measurement units (PMUs) have the advan- tage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional supervisory control and data acquisition (SCADA) system cannot be replaced by the PMU-based system overnight. Therefore, hy- brid power state estimation taking advantage of both systems is im- portant. As experiments show that sampling phase errors among PMUs are inevitable in practical deployment, this paper proposes a distributed power state estimation algorithm under PMU phase er- rors. The proposed distributed algorithm only involves local com- putations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the per- formance of the proposed algorithm is very close to that of central- ized optimal hybrid state estimates without sampling phase error.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Signal Processing-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleDistributed Hybrid Power State Estimation under PMU Sampling Phase Errors-
dc.typeArticle-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityMa, S=rp00153-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TSP.2014.2332438-
dc.identifier.hkuros248922-
dc.identifier.volume62-
dc.identifier.spage4052-
dc.identifier.epage4063-

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