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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Citations (Scopus)

362 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.

Original language	English
Title of host publication	15th European Dependable Computing Conference (EDCC)
Number of pages	6
Publisher	IEEE
Publication date	7 Nov 2019
Pages	165-170
Article number	8893350
ISBN (Print)	978-1-7281-3929-6, 978-1-7281-3930-2
ISBN (Electronic)	978-1-7281-3929-6
DOIs	https://doi.org/10.1109/EDCC.2019.00040
Publication status	Published - 7 Nov 2019
Event	15th European Dependable Computing Conference (EDCC) - Naples, Italy Duration: 17 Sept 2019 → 20 Sept 2019

Conference

Conference	15th European Dependable Computing Conference (EDCC)
Country/Territory	Italy
City	Naples
Period	17/09/2019 → 20/09/2019

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

Keywords

CIM XML
Grid Topology Data
Low Voltage Grid Observability
Smart Grid Data Integration

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10.1109/EDCC.2019.00040

Extraction of CIM based distribution grid topology info for Observability appAccepted author manuscript, 1.21 MB

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@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. in 15th European Dependable Computing Conference (EDCC)., 8893350, IEEE, European Dependable Computing Conference (EDCC), pp. 165-170, 15th European Dependable Computing Conference (EDCC), Naples, Italy, 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. p. 165-170 8893350 (European Dependable Computing Conference (EDCC)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

Y1 - 2019/11/7

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

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U2 - 10.1109/EDCC.2019.00040

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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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BT - 15th European Dependable Computing Conference (EDCC)

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T2 - 15th European Dependable Computing Conference (EDCC)

Y2 - 17 September 2019 through 20 September 2019

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Extraction of CIM-Based Distribution Grid Topology Information for Observability

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Net2DG: Leveraging Networked Data for the Digital Electricity Grid

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Extraction of CIM-Based Distribution Grid Topology Information for Observability

Abstract

Conference

Keywords

Access to Document

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Other files and links

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Projects

Net2DG: Leveraging Networked Data for the Digital Electricity Grid

Cite this