Data fusion from various heterogeneous data sources in low-voltage (LV) grids is valuable to distribution system operators (DSOs). For instance, in order to deploy various smart grid applications (SGA) in particular real-time monitoring and outage management, measurements from customer premises need to be processed with other data sources such as grid topology, line parameters, details of measurement devices etc. It is a most challenging task for DSOs to collect and merge/fuse data from several sources as they are owned by different entities and their access is limited. This paper presents an opEn common information Model (CIM) BAsed smaRt grid application frameworK (EMBARK). EMBARK is an efficient, modular and scalable architecture for extracting relevant grid related information from various asset management databases. A practical deployment procedure is further presented for employing the collected information to assist SGA deployment. The proposed approach is demonstrated and numerically validated using grid data from a medium-sized distribution grid operator in Denmark. The architecture developed and presented in this paper will support all the phases from planning to the actual smart grid operation i.e., automatically building the models to perform load flows, grid impact studies, planning, asset management etc.
|Journal||IEEE Transactions on Smart Grid|
|Publication status||Submitted - 2021|
- Low Voltage Grid Observability
- Common information model
- Grid Topology Data
- Smart Grid Data Integration