Robust power system transient stability enhancement: A global control approach

Abstract The nonlinearities and parameter uncertainties of a power system and the system behaviour following a severe disturbance preclude the use of linear control techniques. In this paper, a robust controller for transient stability enhancement is developed using a global control approach. The nonlinear power system model is first linearized over the whole operating region by using the direct feedback linearization (DFL) technique. After linearization, the system model can be treated as a linear system with large parameter uncertainties. Robust controllers are designed for different operating regions. Finally, in order to construct a global control system, the fuzzy (or heterogeneous) control technique is used to integrate the local controllers together. The single-machine infinite bus power system is used as an example system to evaluate the effectiveness of the proposed controller. Simulation results demonstrate that the proposed global control system can provide superior performance in power system transient stability enhancement.

[1]  David J. Hill,et al.  Transient stability enhancement and voltage regulation of power systems , 1993 .

[2]  Rujing Zhou,et al.  A new decentralized nonlinear voltage controller for multimachine power systems , 1998 .

[3]  Jin Jiang,et al.  Robust controller design for generator excitation systems , 1995 .

[4]  P. Kundur,et al.  Power system stability and control , 1994 .

[5]  Benjamin Kuipers,et al.  The composition and validation of heterogeneous control laws , 1994, Autom..

[6]  R. You,et al.  An Online Adaptive Neuro-Fuzzy Power System Stabilizer for Multimachine Systems , 2002, IEEE Power Engineering Review.

[7]  Lihua Xie,et al.  Robust nonlinear controller design for transient stability enhancement of power systems , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[8]  R. You,et al.  An on-line adaptive neuro-fuzzy power system stabilizer for multimachine systems , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[9]  Takashi Hiyama,et al.  Fuzzy logic control scheme with variable gain for static VAr compensator to enhance power system stability , 1999 .

[10]  Ouassima Akhrif,et al.  Application of a multivariable feedback linearization scheme for rotor angle stability and voltage regulation of power systems , 1999 .

[11]  Wladyslaw Mielczarski,et al.  Nonlinear field voltage control of a synchronous generator using feedback linearization , 1994, Autom..

[12]  B. K. Perkins,et al.  Dynamic modeling of high power static switching circuits in the dq-frame , 1999 .

[13]  Gang Feng,et al.  Analysis and design for a class of complex control systems part II: Fuzzy controller design , 1997, Autom..

[14]  Zhihua Qu,et al.  A comparison and simulation study of nonlinearly designed robust controllers for power system transient stability , 2000 .

[15]  Youyi Wang,et al.  Global Transient Stability and Voltage Regulation for Power Systems , 2001 .

[16]  Kazuo Tanaka,et al.  Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H∞ control theory, and linear matrix inequalities , 1996, IEEE Trans. Fuzzy Syst..