Abstract

Maximizing datavalue with GIS and CIM in a Smartgrid world
Track: Electric Utilities
Authors: Signe Andersen, Lasse Bannick

The value of data in a smartgrid is dependent on our ability to unify data, reduce redundancy and correct errors. Utilizing asset data and making network data available for smartgrid solutions starts with normalizing data across systems.
Our data quality project utilizes the CIM to establish a common, neutral data model – a CIM profile – for the data kept in the participating source data systems: SAP, ArcGIS, ArcFM, DMS. Entities, attributes and relationships are subsequently mapped onto this common profile such that deviations can be pinpointed. A tool has been developed to specify this mapping and define necessary master-slave relationships, run queries against source systems and generate data issue reports. This is an iterative process which is meant to support the data cleaning efforts.
On the GIS side, there is a standard ArcFM extension for pulling out data in CIM format: Feeder Manager/Network Adaptor.