TY - GEN
T1 - Convergence characteristics of the variable projection method for mode extraction
AU - Birchfield, Adam B.
AU - Overbye, Thomas J.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - This paper reviews the variable projection method (VPM) for power system modal analysis and analyzes the method's convergence characteristics. The purpose of the VPM and other modal analysis tools is to decompose time series data into damped or undamped sinusoidal components, which provide insights into the dynamics of a measured or simulated disturbance. The paper gives five example cases of modal analysis with VPM, varying in size from a single synthetic signal to a 30-signal, 7-mode data set from simulations of a large actual power system. The analysis provides an initial indication that the VPM often finds a solution close to the matrix pencil initialization, and that the method's convergence speed can vary. While the inner loop of the method, the line search, is robust and quick, the outer VPM loop sometimes converges linearly or slower, requiring hundreds of iterations. Simpler cases with fewer modes tend to have a more consistent convergence, and are less sensitive to the initial modes selected.
AB - This paper reviews the variable projection method (VPM) for power system modal analysis and analyzes the method's convergence characteristics. The purpose of the VPM and other modal analysis tools is to decompose time series data into damped or undamped sinusoidal components, which provide insights into the dynamics of a measured or simulated disturbance. The paper gives five example cases of modal analysis with VPM, varying in size from a single synthetic signal to a 30-signal, 7-mode data set from simulations of a large actual power system. The analysis provides an initial indication that the VPM often finds a solution close to the matrix pencil initialization, and that the method's convergence speed can vary. While the inner loop of the method, the line search, is robust and quick, the outer VPM loop sometimes converges linearly or slower, requiring hundreds of iterations. Simpler cases with fewer modes tend to have a more consistent convergence, and are less sensitive to the initial modes selected.
KW - Power system dynamics
KW - convergence
KW - modal analysis
KW - power system transient stability
KW - variable projection method
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U2 - 10.1109/TPEC.2017.7868265
DO - 10.1109/TPEC.2017.7868265
M3 - Conference contribution
AN - SCOPUS:85016545406
T3 - 2017 IEEE Texas Power and Energy Conference, TPEC 2017
BT - 2017 IEEE Texas Power and Energy Conference, TPEC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Texas Power and Energy Conference, TPEC 2017
Y2 - 9 February 2017 through 10 February 2017
ER -