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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25337
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dc.contributor.authorRamirez Gonzalez, Miguel-
dc.contributor.authorBossio, Martina-
dc.contributor.authorSegundo Sevilla, Felix Rafael-
dc.contributor.authorKorba, Petr-
dc.date.accessioned2022-07-27T08:04:59Z-
dc.date.available2022-07-27T08:04:59Z-
dc.date.issued2022-
dc.identifier.isbn978-1-6654-6925-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25337-
dc.description.abstractAlthough large scale simulation models may better represent the behavior of practical power systems, they are time-consuming and turn out to be impractical for some desired applications, particularly when the focus of the study is on only a small portion of the entire system and the use of a complete model would dramatically increase the computational effort and time. Therefore, network equivalent models can be used in this case to facilitate and accelerate the completion of the required analysis related to the specific subsystem. In this sense, and considering here small and large sample networks, the evaluation of static equivalents derived from popular Ward and REI reduction methods is presented in this paper. The performance of the reduced networks is assessed under the N-1 contingency criteria, and takes into account not only the base case condition but also post contingency response with the whole set of lines in the particular area of study. Obtained equivalents are compared in simulation in terms of deviations from the original system and average computational time needed to complete the involved power flow calculations.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectStatic network equivalentde_CH
dc.subjectLine contingency analysisde_CH
dc.subjectStatic security assessmentde_CH
dc.subjectPower system stabilityde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleEvaluation of static network equivalent models for N-1 line contingency analysisde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Energiesysteme und Fluid-Engineering (IEFE)de_CH
zhaw.publisher.placeNew Yorkde_CH
dc.identifier.doi10.1109/GPECOM55404.2022.9815713de_CH
dc.identifier.doi10.21256/zhaw-25337-
zhaw.conference.details4th Global Power, Energy and Communication Conference (GPECOM), Cappadocia, Turkey, 14-17 June 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end333de_CH
zhaw.pages.start328de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of IEEE GPECOM 2022de_CH
zhaw.webfeedElektrische Energiesysteme und Smart Gridsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Ramirez Gonzalez, M., Bossio, M., Segundo Sevilla, F. R., & Korba, P. (2022). Evaluation of static network equivalent models for N-1 line contingency analysis [Conference paper]. Proceedings of IEEE GPECOM 2022, 328–333. https://doi.org/10.1109/GPECOM55404.2022.9815713
Ramirez Gonzalez, M. et al. (2022) ‘Evaluation of static network equivalent models for N-1 line contingency analysis’, in Proceedings of IEEE GPECOM 2022. New York: IEEE, pp. 328–333. Available at: https://doi.org/10.1109/GPECOM55404.2022.9815713.
M. Ramirez Gonzalez, M. Bossio, F. R. Segundo Sevilla, and P. Korba, “Evaluation of static network equivalent models for N-1 line contingency analysis,” in Proceedings of IEEE GPECOM 2022, 2022, pp. 328–333. doi: 10.1109/GPECOM55404.2022.9815713.
RAMIREZ GONZALEZ, Miguel, Martina BOSSIO, Felix Rafael SEGUNDO SEVILLA und Petr KORBA, 2022. Evaluation of static network equivalent models for N-1 line contingency analysis. In: Proceedings of IEEE GPECOM 2022. Conference paper. New York: IEEE. 2022. S. 328–333. ISBN 978-1-6654-6925-8
Ramirez Gonzalez, Miguel, Martina Bossio, Felix Rafael Segundo Sevilla, and Petr Korba. 2022. “Evaluation of Static Network Equivalent Models for N-1 Line Contingency Analysis.” Conference paper. In Proceedings of IEEE GPECOM 2022, 328–33. New York: IEEE. https://doi.org/10.1109/GPECOM55404.2022.9815713.
Ramirez Gonzalez, Miguel, et al. “Evaluation of Static Network Equivalent Models for N-1 Line Contingency Analysis.” Proceedings of IEEE GPECOM 2022, IEEE, 2022, pp. 328–33, https://doi.org/10.1109/GPECOM55404.2022.9815713.


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