TY - GEN
T1 - Optimal tuning for linear and nonlinear parameters of power system stabilizers in hybrid system modeling
AU - Baek, Seung Mook
AU - Park, Jung Wook
AU - Hiskens, Ian A.
PY - 2007
Y1 - 2007
N2 - This paper focuses on the systematic optimal tuning of a power system stabilizer (PSS), which can improve the system damping performance immediately following a large disturbance. As the PSS consists of both linear parameters, such as the gain and time constant, and non-smooth nonlinear parameters, such as saturation limits of the PSS, two methods are applied to achieve optimal tuning of all parameters. One is to use the optimization technique based on the Hessian matrix estimated by the feed-forward neural network (FFNN), which identifies the first-order derivatives obtained by the trajectory sensitivities, for the nonlinear parameters. The other is to use an eigenvalue analysis for the linear parameters. The performance of parameters optimized by the proposed method is evaluated by time-domain simulation in both a single-machine infinite bus (SMIB) system and a multi-machine power system (MMPS).
AB - This paper focuses on the systematic optimal tuning of a power system stabilizer (PSS), which can improve the system damping performance immediately following a large disturbance. As the PSS consists of both linear parameters, such as the gain and time constant, and non-smooth nonlinear parameters, such as saturation limits of the PSS, two methods are applied to achieve optimal tuning of all parameters. One is to use the optimization technique based on the Hessian matrix estimated by the feed-forward neural network (FFNN), which identifies the first-order derivatives obtained by the trajectory sensitivities, for the nonlinear parameters. The other is to use an eigenvalue analysis for the linear parameters. The performance of parameters optimized by the proposed method is evaluated by time-domain simulation in both a single-machine infinite bus (SMIB) system and a multi-machine power system (MMPS).
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U2 - 10.1109/IAS.2007.256
DO - 10.1109/IAS.2007.256
M3 - Conference contribution
AN - SCOPUS:47849130288
SN - 1424403642
SN - 9781424403646
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
SP - 1665
EP - 1672
BT - Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
T2 - 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
Y2 - 23 September 2007 through 27 September 2007
ER -