Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Static stability indexes for classification of power system time-domain simulations
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-4125-1055
2015 (English)In: 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, IEEE conference proceedings, 2015Conference paper, Published 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 timedomain 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 conference proceedings, 2015.
Keyword [en]
overload, severity index and impact assessment, transient stability, under/over voltage, Electric power system stability, Electric power transmission networks, Stability, Time domain analysis, Time series, Impact assessments, Nonlinear simulations, Power system dynamic simulation, Stable equilibrium points, Static stability, Time-domain simulations, Under/over voltages, Smart power grids
National Category
Control Engineering Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-174782DOI: 10.1109/ISGT.2015.7131846Scopus ID: 2-s2.0-84939152442ISBN: 9781479917853 (print)OAI: oai:DiVA.org:kth-174782DiVA: diva2:877893
Conference
2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February 2015 through 20 February 2015
Note

QC 20151208

Available from: 2015-12-08 Created: 2015-10-07 Last updated: 2015-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Vanfretti, Luigi

Search in DiVA

By author/editor
Sevilla, Félix Rafael SegundoVanfretti, Luigi
By organisation
Electric Power Systems
Control EngineeringComputational Mathematics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 140 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf