DocumentCode :
792251
Title :
Bootstrap-based confidence interval estimates for electromechanical modes from multiple output analysis of measured ambient data
Author :
Anderson, Michael G. ; Zhou, Ning ; Pierre, John W. ; Wies, Richard W.
Author_Institution :
Boeing Co., Seattle, WA, USA
Volume :
20
Issue :
2
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
943
Lastpage :
950
Abstract :
Previously, variations of the Yule-Walker techniques have been applied successfully to give point estimates of electromechanical modes of a power system based on measured ambient data. This paper introduces a bootstrap method to give confidence interval estimates for the electromechanical modes. Simulation results from a 19-machine model show the validation of the bootstrap method and its consistence to Monte Carlo methods. Actual measurement data taken from western North American Power Grid in 2000 are processed using the bootstrap method to give confidence interval estimates for interarea mode damping ratios. The use of multiple outputs is shown to improve the performance and tighten the confidence intervals.
Keywords :
Monte Carlo methods; power system measurement; power system stability; Monte Carlo method; North American Power Grid; Yule-Walker technique; ambient data measurement; bootstrap; confidence interval estimate; electromechanical mode; multiple output analysis; Autoregressive processes; Computational modeling; Power grids; Power measurement; Power system analysis computing; Power system measurements; Power system modeling; Power system reliability; Power system simulation; Power system stability; Bootstrap; Monte Carlo; Yule–Walker; electromechanical modes; estimation; power system monitoring; power system stability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2005.846125
Filename :
1425592
Link To Document :
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