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DOE OSTI · 1012894

Electromechanical Mode On-line Estimation using Regularized Robust RLS Methods

Zhou, Ning·Trudnowski, Daniel J·Pierre, John W·Mittelstadt, William
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Abstract

This paper proposes a regularized robust recursive least squares (R3LS) method for on-line estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data. The proposed method utilizes an autoregressive moving average exogenous (ARMAX) model to account for typical measurement data, which includes low-level pseudo-random probing, ambient, and ringdown data. A robust objective function is utilized to reduce the negative influence from non-typical data, which include outliers and missing data. A dy-namic regularization method is introduced to help include a priori knowledge about the system and reduce the influence of under-determined problems. Based on a 17-machine simulation model, it is shown through the Monte-Carlo method that the proposed R3LS method can estimate and track electromechanical modes by effectively using combined typical and non-typical measurement data.

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24 POWER TRANSMISSION AND DISTRIBUTION97 MATHEMATICS AND COMPUTINGCOMPUTERIZED SIMULATIONELECTROMECHANICSLEAST SQUARE FITMONTE CARLO METHODPOWER SYSTEMS

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Zhou, Ning, Trudnowski, Daniel J, Pierre, John W, Mittelstadt, William. 2010-04-28. Electromechanical Mode On-line Estimation using Regularized Robust RLS Methods. https://doi.org/10.1109/pes.2010.5589746

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