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  • 标题:Soft Sensors of Power Systems Stability Based on Predictive Models of Dynamic Discrete Bilinear Systems
  • 本地全文:下载
  • 作者:I. Yadykin ; V. Lototsky ; N. Bakhtadze
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:897-902
  • DOI:10.1016/j.ifacol.2018.08.456
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe Gramian method to study of the stability of bilinear systems and the new technique of Gramians calculation is investigated. The method of early warning about the loss of stability of the electric power system is proposed. The method is based on the nonlinear process original predictive model. It is shown that the suggested approach has a transparent physical interpretation, i.e., stability loss risk corresponds to the energy of ill-stable modes group. The predicting model is developed based on associative search technique for nonlinear dynamic plants.
  • 关键词:Keywordsstability controlGramian methodsystem identificationvirtual modelassociative searchknowledge base
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