TY - GEN
T1 - Power system control with an embedded neural network in hybrid system modeling
AU - Baek, Seung Mook
AU - Park, Jung Wook
AU - Venayagamoorthy, Ganesh K.
PY - 2006
Y1 - 2006
N2 - The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can been used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by timedomain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS).
AB - The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can been used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by timedomain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS).
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U2 - 10.1109/IAS.2006.256595
DO - 10.1109/IAS.2006.256595
M3 - Conference contribution
AN - SCOPUS:34948885619
SN - 1424403642
SN - 9781424403646
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
SP - 650
EP - 657
BT - Conference Record of the 2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting
T2 - 2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting
Y2 - 8 October 2006 through 12 October 2006
ER -