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Title: The Characteristic Ellipsoid Methodology and Its Application in Power Systems

Abstract

The characteristic ellipsoid (CELL) method to monitor dynamic behaviors of a power system is proposed. Multidimensional 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.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1057351
Report Number(s):
PNNL-SA-83577
TD5015020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems, 27(4):2206-2214
Additional Journal Information:
Journal Name: IEEE Transactions on Power Systems, 27(4):2206-2214
Country of Publication:
United States
Language:
English
Subject:
Characteristic ellipsoid, decision tree, event detection, minimum volume enclosing ellipsoid, phasor measurement unit, situation awareness, system disturbance

Citation Formats

Ma, Jian, Makarov, Yuri V., Diao, Ruisheng, Etingov, Pavel V., Dagle, Jeffery E., and De Tuglie, Enrico E. The Characteristic Ellipsoid Methodology and Its Application in Power Systems. United States: N. p., 2012. Web. doi:10.1109/TPWRS.2012.2195232.
Ma, Jian, Makarov, Yuri V., Diao, Ruisheng, Etingov, Pavel V., Dagle, Jeffery E., & De Tuglie, Enrico E. The Characteristic Ellipsoid Methodology and Its Application in Power Systems. United States. doi:10.1109/TPWRS.2012.2195232.
Ma, Jian, Makarov, Yuri V., Diao, Ruisheng, Etingov, Pavel V., Dagle, Jeffery E., and De Tuglie, Enrico E. Thu . "The Characteristic Ellipsoid Methodology and Its Application in Power Systems". United States. doi:10.1109/TPWRS.2012.2195232.
@article{osti_1057351,
title = {The Characteristic Ellipsoid Methodology and Its Application in Power Systems},
author = {Ma, Jian and Makarov, Yuri V. and Diao, Ruisheng and Etingov, Pavel V. and Dagle, Jeffery E. and De Tuglie, Enrico E.},
abstractNote = {The characteristic ellipsoid (CELL) method to monitor dynamic behaviors of a power system is proposed. Multidimensional 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.},
doi = {10.1109/TPWRS.2012.2195232},
journal = {IEEE Transactions on Power Systems, 27(4):2206-2214},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {11}
}