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Static Stability Indexes for Classification of Power System Time-domain Simulations
KTH, School of Electrical Engineering (EES), Electric power and energy systems. Statnett SF, Norway.
2015 (English)In: 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), IEEE , 2015Conference paper (Refereed)
Abstract [en]

Two new static indexes that use time series from power system dynamic simulations are presented on this paper. The proposed indexes are used to check whether the time series from dynamic simulations will converge to a safe and stable equilibrium point and to measure the quality of the stability. They can also be used to classify simulations according to the severity of the contingency applied. The Integral Square Generator Angle (ISGA) index is used as a dynamic index to assess the validity of the proposed indexes and their use for classification of time-domain simulations. An illustrative example using the Klein-Rogers-Kundur's two-area system is presented and then the static indexes are validated trough several nonlinear simulations using the KTH-Nordic32 system.

Place, publisher, year, edition, pages
IEEE , 2015.
Keyword [en]
overload, under/over voltage, transient stability, severity index and impact assessment
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-191620DOI: 10.1109/ISGT.2015.7131846ISI: 000380535300064ScopusID: 2-s2.0-84939152442ISBN: 978-1-4799-1785-3OAI: oai:DiVA.org:kth-191620DiVA: diva2:967825
Conference
2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), FEB 18-20, 2015, Washington, DC
Note

QC 20160909

Available from: 2016-09-09 Created: 2016-09-02 Last updated: 2016-09-09Bibliographically approved

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Vanfretti, Luigi
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