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Meter placement algorithm for reliable distribution system state estimation

Steppan, Rafael ; Pfendler, Anna ; Hanson, Jutta (2023)
Meter placement algorithm for reliable distribution system state estimation.
27th International Conference on Electricity Distribution. Rome, Italy (12.06.2023-15.06.2023)
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: 12.06.2023-15.06.2023
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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