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
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