Yang, Shangdan und Bergmann, Peggy und Derendorf, Karen und Schuldt, Frank und Maydell, Karsten von (2020) Generating worst-case scenarios by randomly distributing loads for risk assessment in low voltage residential electricity grids. In: 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020. Research Publishing, Singapore. 30th ESREL 2020, 2020-11-01 - 2020-11-05, Venedig, Italien and online. doi: 10.3850/978-981-14-8593-0_5789-cd. ISBN 978-981148593-0.
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Kurzfassung
In order to assess the capacity of low voltage electricity grids different grid operation cases are usually analyzed. These cases are used to identify weaknesses in the grid, evaluate the risks involved and subsequently facilitate the integration of new loads such as electric vehicles or heat pumps which are joining these grids in an increasing degree. This study suggests a random load allocation algorithm to create realistic worst-case scenarios for grid operation without the need for historical load data or reverting to load profiles. This is achieved by distributing loads asymmetrically across all three phases so that they comply with grid codes and burden the local transformer moderately. In this way, a multitude of feasible load scenarios is generated and evaluated. A metric is proposed to select those scenarios which lead to a critical operation state of the grid. The generated worst-case scenarios can be used to evaluate the potential capacity and risks of integrating new consumers into grids. This is demonstrated in a use case where electric vehicles are integrated into the investigated grid at half of all connection points. The Analysis shows that the grid is additionally stressed and the reinforcement of cables or charge management would be required to facilitate the safe operation of the grid with additional loads.
elib-URL des Eintrags: | https://elib.dlr.de/138926/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Generating worst-case scenarios by randomly distributing loads for risk assessment in low voltage residential electricity grids | ||||||||||||||||||||||||
Autoren: |
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Datum: | 2020 | ||||||||||||||||||||||||
Erschienen in: | 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.3850/978-981-14-8593-0_5789-cd | ||||||||||||||||||||||||
Herausgeber: |
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Verlag: | Research Publishing, Singapore | ||||||||||||||||||||||||
ISBN: | 978-981148593-0 | ||||||||||||||||||||||||
Status: | akzeptierter Beitrag | ||||||||||||||||||||||||
Stichwörter: | worst-case scenarios, random loads, asymmetric loads, risk assessment, low voltage electricity grid | ||||||||||||||||||||||||
Veranstaltungstitel: | 30th ESREL 2020 | ||||||||||||||||||||||||
Veranstaltungsort: | Venedig, Italien and online | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 1 November 2020 | ||||||||||||||||||||||||
Veranstaltungsende: | 5 November 2020 | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||
HGF - Programm: | TIG Technologie, Innovation und Gesellschaft | ||||||||||||||||||||||||
HGF - Programmthema: | Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemanalyse | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Energiesystemtechnik (alt) | ||||||||||||||||||||||||
Standort: | Oldenburg | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Vernetzte Energiesysteme | ||||||||||||||||||||||||
Hinterlegt von: | Derendorf, Karen | ||||||||||||||||||||||||
Hinterlegt am: | 09 Dez 2020 18:35 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:40 |
Verfügbare Versionen dieses Eintrags
- Generating worst-case scenarios by randomly distributing loads for risk assessment in low voltage residential electricity grids. (deposited 09 Dez 2020 18:35) [Gegenwärtig angezeigt]
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