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

doi:10.1109/EDCC.2019.00040

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 proceeding › Konferenceartikel i proceeding › Forskning › peer review

6 Citationer (Scopus)

359 Downloads (Pure)

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.

Originalsprog	Engelsk
Titel	15th European Dependable Computing Conference (EDCC)
Antal sider	6
Forlag	IEEE
Publikationsdato	7 nov. 2019
Sider	165-170
Artikelnummer	8893350
ISBN (Trykt)	978-1-7281-3929-6, 978-1-7281-3930-2
ISBN (Elektronisk)	978-1-7281-3929-6
DOI	https://doi.org/10.1109/EDCC.2019.00040
Status	Udgivet - 7 nov. 2019
Begivenhed	15th European Dependable Computing Conference (EDCC) - Naples, Italien Varighed: 17 sep. 2019 → 20 sep. 2019

Konference

Konference	15th European Dependable Computing Conference (EDCC)
Land/Område	Italien
By	Naples
Periode	17/09/2019 → 20/09/2019

Navn	European Dependable Computing Conference (EDCC)
ISSN	2641-810X

Adgang til dokumentet

10.1109/EDCC.2019.00040

Extraction of CIM based distribution grid topology info for Observability appAccepteret manuskript, 1,21 MB

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Net2DG: Leveraging Networked Data for the Digital Electricity Grid
Iov, F., Olsen, R. L., Stoustrup, J., Bendtsen, J. D., Schwefel, H. C., Shahid, K., Pombo, D. V. & Mardare, D.
Horizon Europe
01/01/2018 → 30/06/2021
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{f99b031810d94c43af2ca079c430b8dc,

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.",

keywords = "CIM XML, Grid Topology Data, Low Voltage Grid Observability, Smart Grid Data Integration",

author = "Kamal Shahid and Enrico Schiavone and Domagoj Drenjanac and B{\ae}klund, {Rasmus Pedersen} and Olsen, {Rasmus L{\o}venstein} and Schwefel, {Hans-Peter Christian}",

year = "2019",

month = nov,

day = "7",

doi = "10.1109/EDCC.2019.00040",

language = "English",

isbn = "978-1-7281-3929-6",

series = "European Dependable Computing Conference (EDCC)",

publisher = "IEEE",

pages = "165--170",

booktitle = "15th European Dependable Computing Conference (EDCC)",

address = "United States",

note = "15th European Dependable Computing Conference (EDCC) ; Conference date: 17-09-2019 Through 20-09-2019",

}

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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

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

AU - Shahid, Kamal

AU - Schiavone, Enrico

AU - Drenjanac, Domagoj

AU - Bæklund, Rasmus Pedersen

AU - Olsen, Rasmus Løvenstein

AU - Schwefel, Hans-Peter Christian

PY - 2019/11/7

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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.

KW - CIM XML

KW - Grid Topology Data

KW - Low Voltage Grid Observability

KW - Smart Grid Data Integration

UR - http://www.scopus.com/inward/record.url?scp=85075639020&partnerID=8YFLogxK

U2 - 10.1109/EDCC.2019.00040

DO - 10.1109/EDCC.2019.00040

M3 - Article in proceeding

SN - 978-1-7281-3929-6

SN - 978-1-7281-3930-2

T3 - European Dependable Computing Conference (EDCC)

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EP - 170

BT - 15th European Dependable Computing Conference (EDCC)

PB - IEEE

T2 - 15th European Dependable Computing Conference (EDCC)

Y2 - 17 September 2019 through 20 September 2019

ER -

Extraction of CIM-Based Distribution Grid Topology Information for Observability

Abstract

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Projekter

Net2DG: Leveraging Networked Data for the Digital Electricity Grid

Citationsformater