Extraction of CIM-Based Distribution Grid Topology Information for Observability

Kamal Shahid, Enrico Schiavone, Domagoj Drenjanac, Rasmus Pedersen Bæklund, Rasmus Løvenstein Olsen, Hans-Peter Christian Schwefel

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Abstrakt

In order to implement fault-detection and diagnosis applications in Low Voltage (LV) grids, the data from customer connections needs to be processed jointly with measurements from the distribution grid by other Distribution System Operator (DSO) systems and in addition correlated to the LV grid topology. In practical DSO systems, the LV grid topology data is included in asset management databases and may use the Common Information Model (CIM) as data model. This grid topology information plays an important role in fault-detection and diagnosis. Thus, this paper presents an architecture and a concrete implementation to extract relevant grid topology information for use in fault detection and diagnosis from a CIM based asset management database. The approach is demonstrated and validated via CIM-based grid topology model from a real medium-sized distribution grid operator.
OriginalsprogEngelsk
Titel15th European Dependable Computing Conference (EDCC)
Antal sider6
ForlagIEEE
Publikationsdato7 nov. 2019
Sider165-170
Artikelnummer8893350
ISBN (Trykt)978-1-7281-3929-6, 978-1-7281-3930-2
ISBN (Elektronisk)978-1-7281-3929-6
DOI
StatusUdgivet - 7 nov. 2019
Begivenhed15th European Dependable Computing Conference (EDCC) - Naples, Italien
Varighed: 17 sep. 201920 sep. 2019

Konference

Konference15th European Dependable Computing Conference (EDCC)
LandItalien
ByNaples
Periode17/09/201920/09/2019
NavnEuropean Dependable Computing Conference (EDCC)
ISSN2641-810X

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