Adaptive robust control of chaotic oscillations in power system with excitation limits

Recent investigations have shown that with systemic parameters falling into a certain area a power system undergoes subcritical and supercritical Hopf, saddle-node, and period-doubling bifurcations which severely threaten the secure and stable operation of power system, even to the point of inducing voltage collapse. To control these undesirable bifurcations, an adaptive control law is presented based on the LaSalle invariance principle, which can asymptotically stabilize an unstable power system to equilibrium points. The control technique does not require analytical knowledge of the system dynamics and operates without explicit knowledge of the desired steady-state position. Simulation results show that the proposed control law is very effective. The research of this paper may help to maintain the power system's security operation.

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Controlling bifurcation in power system based on LaSalle invariant principle

De-min

Xiao-Shu

Ying-Hua

2010

Nonlinear Dyn

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Optimize design of adaptive synchronization controllers and parameter observers in different hyperchaotic systems

Zhang

Xia

et al. 2010

Applied Mathematics and Computation

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Complete synchronization, phase synchronization and parameters estimation in a realistic chaotic system

Fan

Huang

et al. 2011

Communications in Nonlinear Science and Numerical Simulation

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Adaptive robust control of chaotic oscillations in power system with excitation limits

Cited by 14 publications

References 15 publications

Controlling bifurcation in power system based on LaSalle invariant principle

Controlling bifurcation in power system based on LaSalle invariant principle

Optimize design of adaptive synchronization controllers and parameter observers in different hyperchaotic systems

Complete synchronization, phase synchronization and parameters estimation in a realistic chaotic system

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