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
fDate :
5/1/2005 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.846125