Chaos of a power system model and its control

The nonlinear dynamic characteristics of a simple three-bus power system mathematic model are studied, including phase diagrams and a bifurcation map. To control this undesirable chaos, sliding mode control law without buffeting is presented based on the LaSalle invariance principle, which considers the bounded disturbances. The theoretical analysis is in agreement with numerical simulation in that the designed controller could asymptotically stabilize the unstable power system to a typical steady-state. The research of this paper may help to maintain the power system's security operation.

[1]  Antonio Loria Control of the new 4th-order hyper-chaotic system with one input , 2010 .

[2]  Jorge L. Moiola,et al.  Bifurcation Analysis on a Multimachine Power System Model , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[3]  K. S. Swarup,et al.  Modeling and simulation of chaotic phenomena in electrical power systems , 2011, Appl. Soft Comput..

[4]  N. Kopell,et al.  Chaotic motions in the two-degree-of-freedom swing equations , 1982 .

[5]  Mei Sun,et al.  The energy resources system with parametric perturbations and its hyperchaos control , 2009 .

[6]  K. Sudheer,et al.  Adaptive modified function projective synchronization of multiple time-delayed chaotic Rossler system , 2011 .

[7]  Lixin Tian,et al.  A new four-dimensional energy resources system and its linear feedback control , 2009 .

[8]  Felix F. Wu,et al.  Chaos in a simple power system , 1993 .

[9]  M Small,et al.  Complex network from pseudoperiodic time series: topology versus dynamics. , 2006, Physical review letters.

[10]  Xuerong Shi,et al.  Robust chaos synchronization of four-dimensional energy resource system via adaptive feedback control , 2010 .

[11]  Michael Small,et al.  Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait , 2010, PLoS Comput. Biol..

[12]  Her-Terng Yau,et al.  Generalized Projective Synchronization for the Horizontal Platform Systems via an Integral-type Sliding Mode Control , 2011 .

[13]  Yongsheng Ding,et al.  Nonlinear Dynamics and Chaos in a Fractional-Order HIV Model , 2009 .

[14]  Xiaoyi Ma,et al.  No-chattering sliding mode control chaos in Hindmarsh-Rose neurons with uncertain parameters , 2011, Comput. Math. Appl..

[15]  J. Yan,et al.  Robust chaos synchronization of four-dimensional energy resource systems subject to unmatched uncertainties , 2009 .

[16]  Xiao-Shu Luo,et al.  Controlling bifurcation in power system based on LaSalle invariant principle , 2011 .

[17]  James A. Momoh,et al.  Electric Power System Dynamics and Stability , 1999 .

[18]  Runfan Zhang,et al.  Control of a class of fractional-order chaotic systems via sliding mode , 2012 .

[19]  E. Ott,et al.  Controlling Chaotic Dynamical Systems , 1991, 1991 American Control Conference.

[20]  Marcelo A. Savi,et al.  A multiparameter chaos control method based on OGY approach , 2009 .

[21]  Chao-Lin Kuo,et al.  Chaos Synchronization-Based Detector for Power-Quality Disturbances Classification in a Power System , 2011, IEEE Transactions on Power Delivery.