|Title||Electromechanical mode shape estimation based on transfer function identification using PMU measurements|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||Ning Zhou, Zhenyu Huang, Luke Dosiek, Dan Trudnowski, John W Pierre|
|Conference Name||2009 IEEE Power & Energy Society General Meeting|
|Conference Location||Calgary, Canada|
|Keywords||AA07-001, AARD, Automatic Switchable Network (ASN), phasor measurement units (PMUs), Power system modeling|
Power system mode shapes are a 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 accurate 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 identification 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 performance of the proposed method is evaluated by Monte-Carlo studies using simulation data from a 17-machine model. The results indicate the validity of the proposed method in estimating mode shapes with reasonably good accuracy.