Ensemble Kalman Filter (EnKF) is proposed to track dynamic states of generators. The algorithm of EnKF and its application to generator state tracking are presented in detail. The accuracy and sensitivity of the method are analyzed with respect to initial state errors, measurement noise, unknown fault locations, time steps and parameter errors. It is demonstrated through simulation studies that even with some errors in the parameters, the developed EnKF can effectively track generator dynamic states using disturbance data.
Revised: September 3, 2013 |
Published: May 1, 2012
Citation
Li Y., Z. Huang, N. Zhou, B. Lee, R. Diao, and P. Du. 2012.Application of Ensemble Kalman Filter in Power System State Tracking and Sensitivity. In IEEE PES Transmission and Distribution Conference and Exposition (T&D 2012), May 7-10, 2012, Orlando, Florida, 1-8. Piscataway, New Jersey:Institute of Electrical and Electronics Engineers.PNNL-SA-82886.doi:10.1109/TDC.2012.6281499