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  • 标题:Power grid transient stabilization using Koopman model predictive control ⁎
  • 本地全文:下载
  • 作者:Milan Korda ; Yoshihiko Susuki ; Igor Mezić
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:28
  • 页码:297-302
  • DOI:10.1016/j.ifacol.2018.11.718
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work addresses the problem of transient stabilization of a power grid, following a destabilizing disturbance. The model considered is the cascade interconnection of seven New England test models with the disturbance (e.g., a powerline failure) occurring in the first grid and propagating forward, emulating a wide-area blackout. We consider a data-driven control framework based on the Koopman operator theory, where a linear predictor, evolving on a higher dimensional (embedded) state-space, is built from observed data and subsequently used within a model predictive control (MPC) framework, allowing for the use of efficient computational tools of linear MPC to control this highly nonlinear dynamical system.
  • 关键词:KeywordsPower gridTransient stabilityKoopman operatorModel predictive control
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