Extraction of CIM-Based Distribution Grid Topology Information for Observability

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceabstrakt 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)
Publikationsdato11 jul. 2019
StatusAccepteret/In press - 11 jul. 2019
BegivenhedDSOGRI - Dependable Solution for Intelligent Electricity Distribution Grid (DSOGRI) -
Varighed: 17 sep. 201919 sep. 2019
http://www.dsogri.eu/index.php

Workshop

WorkshopDSOGRI - Dependable Solution for Intelligent Electricity Distribution Grid (DSOGRI)
Periode17/09/201919/09/2019
Internetadresse

Fingerprint

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

Citer dette

Shahid, K., Olsen, R. L., Schwefel, H-P. C., Drenjanac, D., Schiavone, E., & Bæklund, R. P. (Accepteret/In press). Extraction of CIM-Based Distribution Grid Topology Information for Observability. I 15th European Dependable Computing Conference (EDCC)
Shahid, Kamal ; Olsen, Rasmus Løvenstein ; Schwefel, Hans-Peter Christian ; Drenjanac, Domagoj ; Schiavone, Enrico ; Bæklund, Rasmus Pedersen. / Extraction of CIM-Based Distribution Grid Topology Information for Observability. 15th European Dependable Computing Conference (EDCC). 2019.
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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, Olsen, RL, Schwefel, H-PC, Drenjanac, D, Schiavone, E & Bæklund, RP 2019, Extraction of CIM-Based Distribution Grid Topology Information for Observability. i 15th European Dependable Computing Conference (EDCC)., 17/09/2019.

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

15th European Dependable Computing Conference (EDCC). 2019.

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

TY - ABST

T1 - Extraction of CIM-Based Distribution Grid Topology Information for Observability

AU - Shahid, Kamal

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter Christian

AU - Drenjanac, Domagoj

AU - Schiavone, Enrico

AU - Bæklund, Rasmus Pedersen

PY - 2019/7/11

Y1 - 2019/7/11

N2 - 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.

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.

M3 - Conference abstract in proceeding

BT - 15th European Dependable Computing Conference (EDCC)

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Shahid K, Olsen RL, Schwefel H-PC, Drenjanac D, Schiavone E, Bæklund RP. Extraction of CIM-Based Distribution Grid Topology Information for Observability. I 15th European Dependable Computing Conference (EDCC). 2019