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Article: Solving data acquisition and processing problems in power systems using a pattern analysis approach

TitleSolving data acquisition and processing problems in power systems using a pattern analysis approach
Authors
Issue Date1991
Citation
Iee Proceedings C: Generation Transmission And Distribution, 1991, v. 138 n. 4, p. 365-376 How to Cite?
AbstractThe paper proposes a new methodology for the combined solution of the topological identification observability analysis and bad data processing problems in power systems. The solution is based on a pattern analysis approach. An efficient framework is suggested for solving data acquisition and processing problems, as well as joining pattern analysis and analytical procedures. Two different techniques of pattern analysis are combined to produce a classifier and an estimator with unique characteristics to deal with noisy environments. Unobservable network areas, multiple interacting bad data and bad critical measurements can be efficiently treated. The patterns required for the training process can be acquired from the SCADA system and/or from load-flow simulations. Test results are presented for the IEEE 24-busbar reliability test system.
Persistent Identifierhttp://hdl.handle.net/10722/154943
ISSN

 

DC FieldValueLanguage
dc.contributor.authorAlves Da Silva, APen_US
dc.contributor.authorQuintana, VHen_US
dc.contributor.authorPang, GKHen_US
dc.date.accessioned2012-08-08T08:31:14Z-
dc.date.available2012-08-08T08:31:14Z-
dc.date.issued1991en_US
dc.identifier.citationIee Proceedings C: Generation Transmission And Distribution, 1991, v. 138 n. 4, p. 365-376en_US
dc.identifier.issn0143-7046en_US
dc.identifier.urihttp://hdl.handle.net/10722/154943-
dc.description.abstractThe paper proposes a new methodology for the combined solution of the topological identification observability analysis and bad data processing problems in power systems. The solution is based on a pattern analysis approach. An efficient framework is suggested for solving data acquisition and processing problems, as well as joining pattern analysis and analytical procedures. Two different techniques of pattern analysis are combined to produce a classifier and an estimator with unique characteristics to deal with noisy environments. Unobservable network areas, multiple interacting bad data and bad critical measurements can be efficiently treated. The patterns required for the training process can be acquired from the SCADA system and/or from load-flow simulations. Test results are presented for the IEEE 24-busbar reliability test system.en_US
dc.languageengen_US
dc.relation.ispartofIEE Proceedings C: Generation Transmission and Distributionen_US
dc.titleSolving data acquisition and processing problems in power systems using a pattern analysis approachen_US
dc.typeArticleen_US
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0026186682en_US
dc.identifier.volume138en_US
dc.identifier.issue4en_US
dc.identifier.spage365en_US
dc.identifier.epage376en_US
dc.identifier.scopusauthoridAlves da Silva, AP=6701733691en_US
dc.identifier.scopusauthoridQuintana, VH=22956521300en_US
dc.identifier.scopusauthoridPang, GKH=7103393283en_US

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