Presentation 2013-12-06
Data-Based Stability Assessment of Power Grids without Models : Application of Koopman Operator Methods
Yoshihiko SUSUKI, Igor MEZIC,
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Abstract(in English) We present a data-based approach to stability assessment of power grids without models. This approach is enabled by Koopman mode analysis for nonlinear dynamical systems, which detects an instability based on the properties of the point spectrum of the Koopman operator. We apply the technique to data on physical power flows sampled from the 2011 Arizona-Southern California grid outage and successfully detect unstable power flow patterns that govern the complex dynamics occurring during the accident.
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Keyword(in English) power grid / stability assessment / Koopman mode / cascading outage
Paper # NLP2013-118
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Committee NLP
Conference Date 2013/11/29(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data-Based Stability Assessment of Power Grids without Models : Application of Koopman Operator Methods
Sub Title (in English)
Keyword(1) power grid
Keyword(2) stability assessment
Keyword(3) Koopman mode
Keyword(4) cascading outage
1st Author's Name Yoshihiko SUSUKI
1st Author's Affiliation Department of Electrical Engineering, Kyoto University:JST, CREST()
2nd Author's Name Igor MEZIC
2nd Author's Affiliation Center for Control, Dynamical Systems and Computation, and Department of Mechanical Engineering, University of California
Date 2013-12-06
Paper # NLP2013-118
Volume (vol) vol.113
Number (no) 341
Page pp.pp.-
#Pages 6
Date of Issue