DocumentCode :
1521750
Title :
The Characteristic Ellipsoid Methodology and its Application in Power Systems
Author :
Ma, Jian ; Makarov, Yuri V. ; Diao, Ruisheng ; Etingov, Pavel V. ; Dagle, Jeff E. ; De Tuglie, Enrico
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
Volume :
27
Issue :
4
fYear :
2012
Firstpage :
2206
Lastpage :
2214
Abstract :
The characteristic ellipsoid (CELL) method to monitor dynamic behaviors of a power system is proposed. Multi-dimensional minimum-volume-enclosing characteristic ellipsoids are built using synchronized phasor measurements. System dynamic behaviors are identified by tracking the change rate of the CELL´s characteristic indices. Decision tree techniques are used to link the CELL´s characteristic indices and the system´s dynamic behaviors and to determine types, locations and related information about the dynamic behaviors. The knowledge base of representative transient events is created by offline simulations based on the full Western Electric Coordinating Council (WECC) model. Two case studies demonstrate that the CELL method combined with the decision trees can detect transient events and their features with good accuracy.
Keywords :
decision trees; phasor measurement; CELL characteristic indices; WECC model; characteristic ellipsoid methodology; decision tree techniques; full Western Electric Coordinating Council model; multidimensional minimum-volume-enclosing; offline simulations; power systems; representative transient events; synchronized phasor measurements; system dynamic behaviors; Decision trees; Ellipsoids; Event detection; Knowledge based systems; Phasor measurement units; Power system dynamics; Characteristic ellipsoid; decision tree; event detection; minimum volume enclosing ellipsoid; phasor measurement unit; situation awareness; system disturbance;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2195232
Filename :
6203627
Link To Document :
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