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Conference Paper: Distributed Bayesian hybrid power state estimation with PMU synchronization errors

TitleDistributed Bayesian hybrid power state estimation with PMU synchronization errors
Authors
Issue Date2014
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308
Citation
The 2014 IEEE Global Communications Conference (GLOBECOM 2014), Austin, TX., 8-12 December 2014. In Conference Proceedings, 2014, p. 3174-3179 How to Cite?
AbstractThis paper presents a distributed hybrid power state estimator, with measurements from both the traditional supervisory control and data acquisition (SCADA) system and the newly invented phasor measurement units (PMUs). The proposed distributed algorithm, which jointly estimates the power states and PMU phase errors, only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.
DescriptionSignal Processing for Communications Symposium
Persistent Identifierhttp://hdl.handle.net/10722/214822
ISBN

 

DC FieldValueLanguage
dc.contributor.authorDu, J-
dc.contributor.authorMa, S-
dc.contributor.authorWu, YC-
dc.contributor.authorPoor, VH-
dc.date.accessioned2015-08-21T11:57:33Z-
dc.date.available2015-08-21T11:57:33Z-
dc.date.issued2014-
dc.identifier.citationThe 2014 IEEE Global Communications Conference (GLOBECOM 2014), Austin, TX., 8-12 December 2014. In Conference Proceedings, 2014, p. 3174-3179-
dc.identifier.isbn978-1-4799-3512-3-
dc.identifier.urihttp://hdl.handle.net/10722/214822-
dc.descriptionSignal Processing for Communications Symposium-
dc.description.abstractThis paper presents a distributed hybrid power state estimator, with measurements from both the traditional supervisory control and data acquisition (SCADA) system and the newly invented phasor measurement units (PMUs). The proposed distributed algorithm, which jointly estimates the power states and PMU phase errors, only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308-
dc.relation.ispartofIEEE Conference and Exhibition of Global Telecommunications (GLOBECOM)-
dc.rightsIEEE Conference and Exhibition of Global Telecommunications (GLOBECOM). Copyright © IEEE.-
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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleDistributed Bayesian hybrid power state estimation with PMU synchronization errors-
dc.typeConference_Paper-
dc.identifier.emailMa, S: sdma@hkucc.hku.hk-
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/GLOCOM.2014.7037294-
dc.identifier.scopuseid_2-s2.0-84924347307-
dc.identifier.hkuros248928-
dc.identifier.spage3174-
dc.identifier.epage3179-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150916-

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