DocumentCode :
1196366
Title :
Merging the Temporal and Spatial Aspects of Data and Information for Improved Power System Monitoring Applications
Author :
Kezunovic, Mladen ; Abur, Ali
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
93
Issue :
11
fYear :
2005
Firstpage :
1909
Lastpage :
1919
Abstract :
Many power system applications, particularly those related to monitoring,control, and protection, depend on the use of field data recorded by intelligent electronic devices (IEDs) in substations. With the introduction of IEDs in the last 20 years, the amount and type of data collected in substations have dramatically increased. This paper explores the benefits of data integration and information extraction achieved by merging temporal and spatial considerations. In the new approach, time and space issues are treated consistently across all IEDs, and as a result new applications with improved performance characteristics can be defined. As an illustration, two new monitoring functions are discussed in detail: 1) automated fault analysis and 2) hierarchical state and topology estimation. Discussion ends with a description of an implementation framework that will allow development of other functions that will benefit from the merger of time and space considerations.
Keywords :
SCADA systems; data analysis; fault diagnosis; power system measurement; automated fault analysis; communication protocols; data collection; data integration; fault diagnosis; hierarchical state estimation; information extraction; intelligent electronic devices; power system monitoring; spatial data structures; topology estimation; Automatic control; Control systems; Data mining; Merging; Monitoring; Power system control; Power system protection; Power systems; SCADA systems; Substations; Communication protocols; fault diagnosis; spatial data structures; state estimation; time measurement;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2005.857497
Filename :
1519723
Link To Document :
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