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Partitioning Power Grids via Nonlinear Koopman Mode Analysis
KTH, School of Electrical Engineering (EES), Electric Power Systems. Kyoto University, Japan.
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Power system stability Control)
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2014 (English)In: 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, IEEE conference proceedings, 2014, 6816374- p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a new method for partitioning power grids based on the nonlinear Koopman Mode Analysis (KMA). Grid partitioning is the fundamental problem in the controlled islanding strategy. The KMA is a new technique of nonlinear modal decomposition based on properties of the point spectrum of the so-called Koopman operator. The key idea in the proposed method is to determine a set of islanded sub-grids using KMA of data on voltage angle dynamics of every bus. The method is numerically investigated with the IEEE 118-bus test system. It is shown that the proposed method provides partitions on a multiple frequency scale as well as captures the intrinsic structural properties of a grid characterized by spectral graph theory.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 6816374- p.
Keyword [en]
Controlled islanding, grid partitioning, power system monitoring, spectral graph theory.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-141410DOI: 10.1109/ISGT.2014.6816374ISI: 000355408800007Scopus ID: 2-s2.0-84901923492ISBN: 978-1-4799-3652-6 (print)OAI: oai:DiVA.org:kth-141410DiVA: diva2:696615
Conference
2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014, Washington, DC, United States, 19 February 2014 through 22 February 2014
Note

QC 20140613

Available from: 2014-02-14 Created: 2014-02-14 Last updated: 2015-06-26Bibliographically approved

Open Access in DiVA

ISGT201(934 kB)195 downloads
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Ghandhari, Mehrdad

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