Power system mode shapes are key indication of how dynamic components participate in low-frequency oscillations. Traditionally, mode shapes are calculated from a linearized dynamic model. For large-scale power systems, obtaining accu-rate dynamic models is very difficult. Therefore, measurement-based mode shape estimation methods have certain advantages, especially for the application of real-time small signal stability monitoring. In this paper, a measurement-based mode shape iden-tification method is proposed. The general relationship between transfer function (TF) and mode shape is derived. As an example, a least square (LS) method is implemented to estimate mode shape using an autoregressive exogenous (ARX) model. The per-formance of the proposed method is evaluated by Monte-Carlo studies using simulation data from a 17-machine model. The re-sults indicate the validity of the proposed method in estimating mode shapes with reasonably good accuracy
Revised: April 5, 2010 |
Published: July 30, 2009
Citation
Zhou N., Z. Huang, L. Dosiek, D.J. Trudnowski, and J.W. Pierre. 2009.Electromechanical Mode Shape Estimation Based on Transfer Function Identification Using PMU Measurement. In IEEE Power & Energy Society General Meeting (PES '09), July 26-30, 2009, Calgary, Alberta, Canada. Piscataway, New Jersey:IEEE.PNNL-SA-63786.doi:10.1109/PES.2009.5275924