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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19532
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dc.contributor.authorAllenspach, Cyril Armand-
dc.contributor.authorHogger, Reto-
dc.contributor.authorObusevs, Artjoms-
dc.contributor.authorKorba, Petr-
dc.contributor.authorReist, Helen-
dc.date.accessioned2020-02-20T15:11:27Z-
dc.date.available2020-02-20T15:11:27Z-
dc.date.issued2019-10-07-
dc.identifier.isbn978-1-7281-3942-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19532-
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.de_CH
dc.description.abstractIn this paper, symmetrical electric vehicle charging impacts in existing low-voltage distribution grid are investigated throughout proposed methodology and their results analysed. Symmetrical loading- and voltage-related impacts are assessed for the extensive grid. A synthetic EV mix pattern was used with the purpose to demonstrate a universal observation of charging impacts. These patterns were allocated quasi-randomly to the points of common coupling within the grid based on predefined scenarios - 8, 10, 12 and 20 percent. Subsequently, quasi-static time series simulations for a duration of one year in 10-minute time steps were executed. Consequently, this paper yields results, which offer practical insight in the maximum share of electric vehicle charging in low-voltage distribution grids and provide guidance for future decision-making of distribution grid operators.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectDistribution system impactsde_CH
dc.subjectElectric vehiclede_CH
dc.subjectPower distributionde_CH
dc.subjectPower system modelingde_CH
dc.subjectQuasi-static time-series analysisde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleImplementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the gridde_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/RTUCON48111.2019.8982359de_CH
dc.identifier.doi10.21256/zhaw-19532-
zhaw.conference.details60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, 7-9 October 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedings2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)de_CH
zhaw.funding.zhawSCCER-FURIES PHASE IIde_CH
zhaw.author.additionalNode_CH
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Allenspach, C. A., Hogger, R., Obusevs, A., Korba, P., & Reist, H. (2019, October 7). Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid. 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). https://doi.org/10.1109/RTUCON48111.2019.8982359
Allenspach, C.A. et al. (2019) ‘Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid’, in 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. Available at: https://doi.org/10.1109/RTUCON48111.2019.8982359.
C. A. Allenspach, R. Hogger, A. Obusevs, P. Korba, and H. Reist, “Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid,” in 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Oct. 2019. doi: 10.1109/RTUCON48111.2019.8982359.
ALLENSPACH, Cyril Armand, Reto HOGGER, Artjoms OBUSEVS, Petr KORBA und Helen REIST, 2019. Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid. In: 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Conference paper. IEEE. 7 Oktober 2019. ISBN 978-1-7281-3942-5
Allenspach, Cyril Armand, Reto Hogger, Artjoms Obusevs, Petr Korba, and Helen Reist. 2019. “Implementation of Quasi-Static Time Series Simulations for Analysis of the Impact of Electric Vehicles on the Grid.” Conference paper. In 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. https://doi.org/10.1109/RTUCON48111.2019.8982359.
Allenspach, Cyril Armand, et al. “Implementation of Quasi-Static Time Series Simulations for Analysis of the Impact of Electric Vehicles on the Grid.” 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), IEEE, 2019, https://doi.org/10.1109/RTUCON48111.2019.8982359.


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