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dc.contributor.authorVanfretti, Luigi-
dc.contributor.authorSegundo Sevilla, Felix Rafael-
dc.date.accessioned2018-11-30T13:24:34Z-
dc.date.available2018-11-30T13:24:34Z-
dc.date.issued2014-
dc.identifier.isbn978-1-4799-7720-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13425-
dc.description.abstractThis paper presents a three-layer voltage stability index computed using time-series obtained from dynamic simulations. The proposed index provides the distance with respect to voltage and power limits. Voltage, active and reactive power signals, which are determined using time series from dynamic simulations, are used to compute the index. The methodology assumes that no other information about the system (model) is available. A set of 3 different simulations at different loading levels and a given contingency are required to calculate the index. In the first layer, a two-element vector indicates if a power or a voltage limit was violated. In the second layer, a vector is used to specify which power and voltage loading level was violated and finally, in the third layer a matrix is used to retrieve precise information about which power and voltage limit has been violated in pre- or post-contingency. The index can analyze simultaneously different buses. The proposed index is illustrated using synthetic data and then tested using timedomain simulations on the KTH-Nordic32 system.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectVoltage stabilityde_CH
dc.subjectSingle voltage source modelde_CH
dc.subjectTime-domain simulationsde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleA three-layer severity index for power system voltage stability assessment using time-series from dynamic simulationsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Energiesysteme und Fluid-Engineering (IEFE)de_CH
dc.identifier.doi10.1109/ISGTEurope.2014.7028788de_CH
zhaw.conference.detailsIEEE PES Innovative Smart Grid Technologies, Istanbul, Turkey, 12-15 October 2014de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsIEEE PES Innovative Smart Grid Technologies, Europede_CH
Appears in collections:Publikationen School of Engineering

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Vanfretti, L., & Segundo Sevilla, F. R. (2014). A three-layer severity index for power system voltage stability assessment using time-series from dynamic simulations. IEEE PES Innovative Smart Grid Technologies, Europe. https://doi.org/10.1109/ISGTEurope.2014.7028788
Vanfretti, L. and Segundo Sevilla, F.R. (2014) ‘A three-layer severity index for power system voltage stability assessment using time-series from dynamic simulations’, in IEEE PES Innovative Smart Grid Technologies, Europe. IEEE. Available at: https://doi.org/10.1109/ISGTEurope.2014.7028788.
L. Vanfretti and F. R. Segundo Sevilla, “A three-layer severity index for power system voltage stability assessment using time-series from dynamic simulations,” in IEEE PES Innovative Smart Grid Technologies, Europe, 2014. doi: 10.1109/ISGTEurope.2014.7028788.
VANFRETTI, Luigi und Felix Rafael SEGUNDO SEVILLA, 2014. A three-layer severity index for power system voltage stability assessment using time-series from dynamic simulations. In: IEEE PES Innovative Smart Grid Technologies, Europe. Conference paper. IEEE. 2014. ISBN 978-1-4799-7720-8
Vanfretti, Luigi, and Felix Rafael Segundo Sevilla. 2014. “A Three-Layer Severity Index for Power System Voltage Stability Assessment Using Time-Series from Dynamic Simulations.” Conference paper. In IEEE PES Innovative Smart Grid Technologies, Europe. IEEE. https://doi.org/10.1109/ISGTEurope.2014.7028788.
Vanfretti, Luigi, and Felix Rafael Segundo Sevilla. “A Three-Layer Severity Index for Power System Voltage Stability Assessment Using Time-Series from Dynamic Simulations.” IEEE PES Innovative Smart Grid Technologies, Europe, IEEE, 2014, https://doi.org/10.1109/ISGTEurope.2014.7028788.


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