文章基本信息

标题：Power grid transient stabilization using Koopman model predictive control ⁎
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作者：Milan Korda ; Yoshihiko Susuki ; Igor Mezić 等
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