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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | power grid / stability assessment / Koopman mode / cascading outage |
Paper # | NLP2013-118 |
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Committee | NLP |
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Conference Date | 2013/11/29(1days) |
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Registration To | Nonlinear Problems (NLP) |
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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 |
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