Steppan, Rafael ; Pfendler, Anna ; Hanson, Jutta (2023)
Meter placement algorithm for reliable distribution system state estimation.
27th International Conference on Electricity Distribution. Rome, Italy (12.-15.06.2023)
doi: 10.1049/icp.2023.0830
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Power system state estimation approximates the state of the electrical grid using sparse metering infrastructure. Requirements for observability and reliability must be considered for the optimal placement of measurement stations. This paper presents an objective function for the placement that combines both monetary cost reduction and topological distribution, as well as the number of critical measurements and sets. This is then minimized by a metaheuristic method, the Simulated Annealing Algorithm. Simulation results of the meshed IEEE-30-bus-network show that the minimum number of measurement stations is 29, with all of them being essential for the observability of the network. By optimally placing and adding only two measurement stations, system reliability can be improved to the extent that the failure of an arbitrary two measurement stations would not result in the loss of observability.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Steppan, Rafael ; Pfendler, Anna ; Hanson, Jutta |
| Art des Eintrags: | Bibliographie |
| Titel: | Meter placement algorithm for reliable distribution system state estimation |
| Sprache: | Englisch |
| Publikationsjahr: | 29 September 2023 |
| Verlag: | IET |
| Buchtitel: | 27th International Conference on Electricity Distribution (CIRED 2023) |
| Veranstaltungstitel: | 27th International Conference on Electricity Distribution |
| Veranstaltungsort: | Rome, Italy |
| Veranstaltungsdatum: | 12.-15.06.2023 |
| DOI: | 10.1049/icp.2023.0830 |
| URL / URN: | https://www.cired2023.org/ |
| Kurzbeschreibung (Abstract): | Power system state estimation approximates the state of the electrical grid using sparse metering infrastructure. Requirements for observability and reliability must be considered for the optimal placement of measurement stations. This paper presents an objective function for the placement that combines both monetary cost reduction and topological distribution, as well as the number of critical measurements and sets. This is then minimized by a metaheuristic method, the Simulated Annealing Algorithm. Simulation results of the meshed IEEE-30-bus-network show that the minimum number of measurement stations is 29, with all of them being essential for the observability of the network. By optimally placing and adding only two measurement stations, system reliability can be improved to the extent that the failure of an arbitrary two measurement stations would not result in the loss of observability. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme > Elektrische Energieversorgung unter Einsatz Erneuerbarer Energien 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme |
| Hinterlegungsdatum: | 26 Okt 2023 07:50 |
| Letzte Änderung: | 21 Nov 2023 15:10 |
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