A partitioned state estimator for external network modeling

Korres, GN

dc.contributor.author	Korres, GN	en
dc.date.accessioned	2014-03-01T01:17:23Z
dc.date.available	2014-03-01T01:17:23Z
dc.date.issued	2002	en
dc.identifier.issn	0885-8950	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14498
dc.subject	Critical measurements	en
dc.subject	Error residual spread areas (ERSAs)	en
dc.subject	External network	en
dc.subject	External network model	en
dc.subject	Internal network	en
dc.subject	Observable islands	en
dc.subject	Partitioned state estimation	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Constraint theory	en
dc.subject.other	Electric load flow	en
dc.subject.other	Electric network topology	en
dc.subject.other	Electric power system interconnection	en
dc.subject.other	Error residual spread areas	en
dc.subject.other	External network modeling	en
dc.subject.other	Partitioned state estimator	en
dc.subject.other	State estimation	en
dc.title	A partitioned state estimator for external network modeling	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TPWRS.2002.800945	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TPWRS.2002.800945	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	This paper presents a partitioned state estimation (SE) method for real-time external network modeling. The method utilizes an unreduced model of the external network and it is based on the SE approach. Since the external network model must not contaminate the internal system state and power mismatches at boundary buses should be minimal, the boundary measurements (tie-line flows and boundary injections) should be critical. Any type of real-time measurements (power flows and injections) can be used. The entire system state is computed by a two-pass method based on measurement model partitioning. The method is based on the fast decoupled model and it can be easily implemented by modifying an existing SE program. Partitioned observability and bad data processing schemes have been developed for the internal and external networks. The external system model can be dynamically updated when changes on topological or analog measurements happen. The method is tested on the IEEE 14-bus system and a 2040-bus system. Contingency analysis is performed and the results are compared with those of load flow (LF) studies which consider the same contingencies.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Power Systems	en
dc.identifier.doi	10.1109/TPWRS.2002.800945	en
dc.identifier.isi	ISI:000178057200044	en
dc.identifier.volume	17	en
dc.identifier.issue	3	en
dc.identifier.spage	834	en
dc.identifier.epage	842	en