1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSandoval, Betsy-
dc.contributor.authorKorba, Petr-
dc.contributor.authorSegundo Sevilla, Felix Rafael-
dc.contributor.authorBarocio Espejo, Emilio-
dc.date.accessioned2021-12-22T13:33:01Z-
dc.date.available2021-12-22T13:33:01Z-
dc.date.issued2021-
dc.identifier.isbn978-1-6654-3597-0de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23805-
dc.description.abstractContingency Screening and Coherent Identification are two fundamental parts of power system planning and operation. A common characteristic among these two methods is the need to analyze multiples contingencies. However, most of the current work existing in the literature is based on the paradigm of analyzing one contingency at a time, using 2D arrays (matrices) for the event representation. The drawback with this type of representations is the impossibility to consider multiple contingencies simultaneously. In this paper a reformulation of the problem using 3D arrays (tensors) is presented. Then, the extraction of the information is carried out using PARAFAC2. With this information, a severity index for contingency screening is proposed and identification of the coherent areas is accomplished. The approach is validated in the IEEE NETSNYPS test system. The results confirm that the proposed approach allows to extract more information than in the traditional form.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCoherency identificationde_CH
dc.subjectPARAFAC2de_CH
dc.subjectScreening contingencyde_CH
dc.subjectTensor decompositionde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleA tensor decomposition approach for contingency screening and coherency identification in power systemsde_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/PowerTech46648.2021.9494922de_CH
zhaw.conference.detailsPowerTech 2021, Madrid (online), 28 June - 2 July 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2021 IEEE Madrid PowerTechde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show simple item record
Sandoval, B., Korba, P., Segundo Sevilla, F. R., & Barocio Espejo, E. (2021). A tensor decomposition approach for contingency screening and coherency identification in power systems. 2021 IEEE Madrid PowerTech. https://doi.org/10.1109/PowerTech46648.2021.9494922
Sandoval, B. et al. (2021) ‘A tensor decomposition approach for contingency screening and coherency identification in power systems’, in 2021 IEEE Madrid PowerTech. IEEE. Available at: https://doi.org/10.1109/PowerTech46648.2021.9494922.
B. Sandoval, P. Korba, F. R. Segundo Sevilla, and E. Barocio Espejo, “A tensor decomposition approach for contingency screening and coherency identification in power systems,” in 2021 IEEE Madrid PowerTech, 2021. doi: 10.1109/PowerTech46648.2021.9494922.
SANDOVAL, Betsy, Petr KORBA, Felix Rafael SEGUNDO SEVILLA und Emilio BAROCIO ESPEJO, 2021. A tensor decomposition approach for contingency screening and coherency identification in power systems. In: 2021 IEEE Madrid PowerTech. Conference paper. IEEE. 2021. ISBN 978-1-6654-3597-0
Sandoval, Betsy, Petr Korba, Felix Rafael Segundo Sevilla, and Emilio Barocio Espejo. 2021. “A Tensor Decomposition Approach for Contingency Screening and Coherency Identification in Power Systems.” Conference paper. In 2021 IEEE Madrid PowerTech. IEEE. https://doi.org/10.1109/PowerTech46648.2021.9494922.
Sandoval, Betsy, et al. “A Tensor Decomposition Approach for Contingency Screening and Coherency Identification in Power Systems.” 2021 IEEE Madrid PowerTech, IEEE, 2021, https://doi.org/10.1109/PowerTech46648.2021.9494922.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.