DocumentCode :
2535502
Title :
Improved topology error detection via optimal measurement placement
Author :
Chen, Jian ; Abur, Ali
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
6
Abstract :
Topology errors are known to significantly affect the performance of state estimators. There are methods which are developed for detecting and identifying topology errors based on the measurement residuals. However, the capability to detect and identify topology errors is related to the measurement locations and network configuration. In some cases, topology errors associated with certain branches can not be detected. The topology error detection capability can be improved by adding extra measurements at strategic locations. In this paper, this will be accomplished by using both phasor measurements and traditional measurements. It will be shown that a few extra measurements can drastically improve the capability to detect and identify topology errors in a given system. The proposed meter placement algorithm will be described and illustrative case studies will be presented.
Keywords :
error detection; power system measurement; power system state estimation; optimal measurement placement; phasor measurements; power system; state estimators; topology error detection; Data processing; Medical services; Network topology; Observability; Phase detection; Phasor measurement units; Power measurement; Power system measurements; State estimation; Substations; Meter Placement; Phasor Measurement Units; State Estimation; Topology Error Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596316
Filename :
4596316
Link To Document :
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