Bootstrap-based confidence interval estimates for electromechanical modes from multiple output analysis of measured ambient data

Summary form only given. 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 is processed using the bootstrap method to give confidence interval estimates for inter-area mode damping ratios. The use of multiple outputs is shown to improve the performance and tighten the confidence intervals.