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 proceedingArticle in proceedingResearchpeer-review

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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.
Original languageEnglish
Title of host publication15th European Dependable Computing Conference (EDCC)
Number of pages6
PublisherIEEE
Publication date7 Nov 2019
Pages165-170
Article number8893350
ISBN (Print)978-1-7281-3929-6, 978-1-7281-3930-2
ISBN (Electronic)978-1-7281-3929-6
DOIs
Publication statusPublished - 7 Nov 2019
Event15th European Dependable Computing Conference (EDCC) - Naples, Italy
Duration: 17 Sep 201920 Sep 2019

Conference

Conference15th European Dependable Computing Conference (EDCC)
CountryItaly
CityNaples
Period17/09/201920/09/2019
SeriesEuropean Dependable Computing Conference (EDCC)
ISSN2641-810X

Keywords

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

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