Bifurcations, chaos and adaptive backstepping sliding mode control of a power system with excitation limitation
Author(s) -
Fuhong Min,
Yaoda Wang,
Guangya Peng,
Enrong Wang
Publication year - 2016
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4961696
Subject(s) - control theory (sociology) , backstepping , exciter , electric power system , bifurcation , lyapunov exponent , chaotic , power (physics) , instability , computer science , lyapunov function , excitation , oscillation (cell signaling) , controller (irrigation) , adaptive control , physics , nonlinear system , mechanics , control (management) , artificial intelligence , quantum mechanics , biology , acoustics , agronomy , genetics
The bifurcation and Lyapunov exponent for a single-machine-infinite bus system with excitation model are carried out by varying the mechanical power, generator damping factor and the exciter gain, from which periodic motions, chaos and the divergence of system are observed respectively. From given parameters and different initial conditions, the coexisting motions are developed in power system. The dynamic behaviors in power system may switch freely between the coexisting motions, which will bring huge security menace to protection operation. Especially, the angle divergences due to the break of stable chaotic oscillation are found which causes the instability of power system. Finally, a new adaptive backstepping sliding mode controller is designed which aims to eliminate the angle divergences and make the power system run in stable orbits. Numerical simulations are illustrated to verify the effectivity of the proposed method
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