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.
|Conference||15th European Dependable Computing Conference (EDCC)|
|Period||17/09/2019 → 20/09/2019|
|Series||European Dependable Computing Conference (EDCC)|
- CIM XML
- Grid Topology Data
- Low Voltage Grid Observability
- Smart Grid Data Integration