A Robust Prony Method Against Synchrophasor Measurement Noise and Outliers

作者：Zhao, Junbo^*; Zhang, Gexiang

来源：IEEE Transactions on Power Systems, 2017, 32(3): 2484-2486.

DOI：10.1109/TPWRS.2016.2612887

• Oscillatory modes
• outliers
• PMU measurements
• prony method
• robust estimation
• total least square

This letter presents a novel robust prony method for power system oscillatory modes monitoring that is immune to synchrophasor measurement noise and outliers. The conventional least squares for polynomial coefficients estimation is reformulated as a structural weighted total least square (WTLS) estimation problem to mitigate the impact of measurement noise. To enhance the robustness of WTLS for handling gross measurement errors, i.e., outliers, Huber type M-estimator is advocated and solved by means of an iteratively reweighted regression algorithm. Numerical results on the simplified realistic WECC 179-bus system demonstrate the effectiveness and robustness of the proposed method.

• 出版日期2017-5
• 单位西南交通大学; 美国弗吉尼亚理工大学(Virginia Tech)