Static stability indexes for classification of power system time-domain simulations
2015 (English)In: 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, IEEE conference proceedings, 2015Conference paper (Refereed)
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.
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
Control Engineering Computational Mathematics
IdentifiersURN: urn:nbn:se:kth:diva-174782DOI: 10.1109/ISGT.2015.7131846ScopusID: 2-s2.0-84939152442ISBN: 9781479917853OAI: oai:DiVA.org:kth-174782DiVA: diva2:877893
2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February 2015 through 20 February 2015
QC 201512082015-12-082015-10-072015-12-08Bibliographically approved