Tomaselli, Domenico ; Stursberg, Paul ; Michael, Metzger ; Florian, Steinke (2023)
Representing Topology Uncertainty for Distribution Grid Expansion Planning.
27th International Conference on Electricity Distribution (CIRED 2023). Rome, Italy (12.06.2023 - 15.06.2023)
doi: 10.1049/icp.2023.0479
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The rising penetration of distributed renewable energy sources (RES), electric vehicle (EV) home-chargers, and heat pumps in power distribution systems can lead to violations of the grid operating conditions. To design suitable grid expansion measures for this challenge, grid planners need a good understanding of the existing infrastructure. Trustworthy, readily usable grid models are, however, often not available. This holds especially for distribution grids at the low-voltage level. In this work, a framework is proposed to generate a probability distribution over an ensemble of different, possible grid topologies for a given area of interest. This probabilistic approach allows to explicitly account for the uncertainty implied by the scarcity of the available information. In a case study with EV home-chargers, it is demonstrated how the proposed ensemble-based framework leads to a robust, uncertainty-aware interpretation regarding the assessment of the existing distribution grid.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Tomaselli, Domenico ; Stursberg, Paul ; Michael, Metzger ; Florian, Steinke |
| Art des Eintrags: | Bibliographie |
| Titel: | Representing Topology Uncertainty for Distribution Grid Expansion Planning |
| Sprache: | Englisch |
| Publikationsjahr: | 29 September 2023 |
| Verlag: | IET |
| Buchtitel: | 27th International Conference on Electricity Distribution (CIRED 2023) : Rome, 12-15 June 2023 |
| Veranstaltungstitel: | 27th International Conference on Electricity Distribution (CIRED 2023) |
| Veranstaltungsort: | Rome, Italy |
| Veranstaltungsdatum: | 12.06.2023 - 15.06.2023 |
| DOI: | 10.1049/icp.2023.0479 |
| Kurzbeschreibung (Abstract): | The rising penetration of distributed renewable energy sources (RES), electric vehicle (EV) home-chargers, and heat pumps in power distribution systems can lead to violations of the grid operating conditions. To design suitable grid expansion measures for this challenge, grid planners need a good understanding of the existing infrastructure. Trustworthy, readily usable grid models are, however, often not available. This holds especially for distribution grids at the low-voltage level. In this work, a framework is proposed to generate a probability distribution over an ensemble of different, possible grid topologies for a given area of interest. This probabilistic approach allows to explicitly account for the uncertainty implied by the scarcity of the available information. In a case study with EV home-chargers, it is demonstrated how the proposed ensemble-based framework leads to a robust, uncertainty-aware interpretation regarding the assessment of the existing distribution grid. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Energieinformationsnetze und Systeme (EINS) 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik Forschungsfelder Forschungsfelder > Energy and Environment |
| Hinterlegungsdatum: | 22 Jul 2024 08:55 |
| Letzte Änderung: | 22 Jul 2024 08:55 |
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