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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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

Fingerprint

Observability
Topology
Fault detection
Failure analysis
Asset management
Electric potential
Data structures
Concretes

Citer dette

Shahid, K., Schiavone, E., Drenjanac, D., Bæklund, R. P., Olsen, R. L., & Schwefel, H-P. C. (2019). Extraction of CIM-Based Distribution Grid Topology Information for Observability. I 15th European Dependable Computing Conference (EDCC) (s. 165-170). [8893350] IEEE. https://doi.org/10.1109/EDCC.2019.00040
Shahid, Kamal ; Schiavone, Enrico ; Drenjanac, Domagoj ; Bæklund, Rasmus Pedersen ; Olsen, Rasmus Løvenstein ; Schwefel, Hans-Peter Christian. / Extraction of CIM-Based Distribution Grid Topology Information for Observability. 15th European Dependable Computing Conference (EDCC). IEEE, 2019. s. 165-170
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title = "Extraction of CIM-Based Distribution Grid Topology Information for Observability",
abstract = "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.",
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Shahid, K, Schiavone, E, Drenjanac, D, Bæklund, RP, Olsen, RL & Schwefel, H-PC 2019, Extraction of CIM-Based Distribution Grid Topology Information for Observability. i 15th European Dependable Computing Conference (EDCC)., 8893350, IEEE, s. 165-170, 15th European Dependable Computing Conference (EDCC), Naples, Italien, 17/09/2019. https://doi.org/10.1109/EDCC.2019.00040

Extraction of CIM-Based Distribution Grid Topology Information for Observability. / Shahid, Kamal; Schiavone, Enrico ; Drenjanac, Domagoj; Bæklund, Rasmus Pedersen; Olsen, Rasmus Løvenstein; Schwefel, Hans-Peter Christian.

15th European Dependable Computing Conference (EDCC). IEEE, 2019. s. 165-170 8893350.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Shahid, Kamal

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AU - Bæklund, Rasmus Pedersen

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter Christian

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AB - 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.

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Shahid K, Schiavone E, Drenjanac D, Bæklund RP, Olsen RL, Schwefel H-PC. Extraction of CIM-Based Distribution Grid Topology Information for Observability. I 15th European Dependable Computing Conference (EDCC). IEEE. 2019. s. 165-170. 8893350 https://doi.org/10.1109/EDCC.2019.00040