TY - GEN
T1 - Electromechanical mode shape estimation based on transfer function identification using PMU measurements
AU - Zhou, N.
AU - Huang, Z.
AU - Dosiek, L.
AU - Trudnowski, D.
AU - Pierre, J. W.
PY - 2009
Y1 - 2009
N2 - 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, measurementbased 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.
AB - 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, measurementbased 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.
KW - Electromechanical dynamics
KW - Mode shape
KW - Small signal stability
KW - Synchronized phasor measurements
KW - System identification
UR - https://www.scopus.com/pages/publications/77649284595
U2 - 10.1109/PES.2009.5275924
DO - 10.1109/PES.2009.5275924
M3 - Conference contribution
SN - 9781424442416
T3 - 2009 IEEE Power and Energy Society General Meeting, PES '09
BT - 2009 IEEE Power and Energy Society General Meeting, PES '09
T2 - 2009 IEEE Power and Energy Society General Meeting, PES '09
Y2 - 26 July 2009 through 30 July 2009
ER -