Stability of linear stochastic systems via Lyapunov exponents and applications to power systems

被引:20
作者
Verdejo, Humberto [3 ,4 ]
Vargas, Luis [3 ]
Kliemann, Wolfgang [1 ,2 ]
机构
[1] Iowa State Univ, Dept Math, Ames, IA 50011 USA
[2] Catholic Univ Chile, Dept Math, Santiago, Chile
[3] Univ Chile, Dept Elect Engn, Santiago, Chile
[4] Univ Santiago, Dept Elect Engn, Santiago, Chile
关键词
Linear stochastic systems; Stability; Lyapunov exponents; Numerical methods; APPROXIMATION;
D O I
10.1016/j.amc.2012.04.063
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper studies linear systems under sustained random perturbations. The stochastic perturbation model is given by a bounded Markov diffusion process, as it appears, e. g., in the description of load or generation uncertainties of power systems. For such systems, the Lyapunov exponents describe necessary and sufficient conditions for almost sure asymptotic stability. The paper presents several numerical methods for the computation of Lyapunov exponents and applies this methodology to linear oscillators in dimension 2 and 3, and to a one machine - infinite bus electric power system. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:11021 / 11032
页数:12
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