DocumentCode :
2329802
Title :
LPV modelling and gain-scheduled control approach for the transient stabilization of power systems
Author :
He, Rong ; Liu, Kang-Zhi ; MEI, Shengwei
Author_Institution :
Dept. of Electr. & Electron. Eng., Chiba Univ., Chiba, Japan
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
29
Lastpage :
34
Abstract :
In this paper, a new control approach is proposed for the transient stabilization of a single-machine infinite-bus power system. The proposed method is based on an LPV (linear parameter varying) modelling of the nonlinear power system and gain-scheduled output feedback control. It is well-known that when large disturbances or a fault occurs, the nonlinearity inherent in power systems can no longer be ignored. The proposed method can handle the nonlinear model directly. First, we show that the nonlinear model can be transformed equivalently into an LPV system with the rotor angle as the scheduling parameter. Then, a gain-scheduled output feedback controller is designed based on robust pole placement and L2-gain minimization. Simulation results verify that the proposed method is better than well-tuned conventional PSS control.
Keywords :
feedback; gain control; power system control; single machine scheduling; stability; gain-scheduled control; gain-scheduled output feedback controller; linear parameter varying modelling; nonlinear model; nonlinear power system; nonlinearity; single-machine infinite-bus power system; transient stabilization; Control systems; Linear feedback control systems; Nonlinear control systems; Output feedback; Power system control; Power system faults; Power system modeling; Power system transients; Power systems; Robust control; Gain-scheduled control; L2-gain synthesis; linear matrix inequality (LMI); linear parameter varying (LPV); regional pole placement; single-machine infinite-bus power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138165
Filename :
5138165
Link To Document :
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