Stabilization of Networked Control Systems with Long Varying Time Delay Based on Two Steps Transformation

Zhu, Quanxin; Liu, Hongli; Jiang, Juan; Wang, Yanping; Yang, Hui

doi:10.1109/paciia.2008.175

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The network induced time delay t d is assumed as nT + ε where ε ∈ [0, T] and n is also an integer. The discretization method during one sampling interval [kT, (k + 1)T] is given in [5] and the discrete time representation of (1) is as follows:…”

Section: B Continuous Model and Discretizationmentioning

confidence: 99%

“…Zhang et al [4] built a model of mixed continuous and discrete system, and analyzed the stability of the model with the method of Lyapunov function. Zhu et al [5] expanded the application range of this modeling method from short time delay to long time delay. Linear matrix inequity (LMI) method has been used widely for NCS stability analysis, especially for the situations with random time delay [6]- [8].…”

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confidence: 99%

“…In most of the previous research on NCS, modeling was based on the assumption that the varying range of time delay is narrower than one sample period [4], [5]. However, in actual power systems the time delay range is often wider than one sample period.…”

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confidence: 99%

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Mathematical Expectation Modeling of Wide-Area Controlled Power Systems With Stochastic Time Delay

Lü

Zhang

Wang

et al. 2015

IEEE Trans. Smart Grid

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Communication network brings new challenges such as time delay and data loss to wide-area damping control of power systems. The uncertainty caused by stochastic time delay of network communication increases the difficulty of wide-area control performance analysis. This paper proposes a mathematical expectation modeling approach to model and analyze wide-area controlled power systems considering the effect of stochastic time delay. In the proposed method, mathematical expectation of stochastic time delay distribution is derived to accurately model the impact of communication network on wide-area control performance. The theoretical frame of the proposed modeling approach is presented, and the effectiveness of the method is verified through the simulation of a power system with eight generators and 36 nodes.

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Section: B Continuous Model and Discretizationmentioning

confidence: 99%

mentioning

confidence: 99%