2008
DOI: 10.1016/j.epsr.2007.07.001
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Nonlinear state space model identification of synchronous generators

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Cited by 58 publications
(32 citation statements)
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References 23 publications
(52 reference statements)
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“…In this paper, assuming the generator connecting to an infinite bus through a transmission line, then the model of generator is described by a third-order differential equation set as [29]:…”
Section: Generator Modelmentioning
confidence: 99%
“…In this paper, assuming the generator connecting to an infinite bus through a transmission line, then the model of generator is described by a third-order differential equation set as [29]:…”
Section: Generator Modelmentioning
confidence: 99%
“…Each generator is considered as a subsystem and is modeled by the known third order nonlinear model [2]. The interaction effects of the subsystems are considered in designing the controller.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Ding and Chen presented a hierarchical state-space model identification method for general dual-rate sampleddata systems [4]; Liu, Xie and Ding proposed an auxiliary model-based recursive least squares algorithm for non-uniformly sampled-data systems by means of the discretization technique of the state-space models [31]; Schön et al studied identification problems of the nonlinear state-space models [37]; Dehghani and Nikravesh studied the nonlinear state-space model identification of the synchronous generators [2]; Du et al discussed the indirect identification method of continuous-timedelay systems from step responses [17]; Liu et al presented a multi-innovation extended stochastic gradient algorithm and studied its performance [32] using the multiinnovation identification theory [6,12,23,43,55].…”
mentioning
confidence: 99%