The key element for digitizing and automating grid planning and operation processes is a validated data basis. With the IGP Data Quality applications, previously isolated data systems (such as GIS, ERP, measurement data) can be connected. Data errors and inconsistencies between the different data are identified and directly corrected. As a result, digital twins for high, medium and low voltage grids are developed in an almost completely automated process. Furthermore, the applications in this field provide various analytics and visualization features that can be used to process and evaluate measurement data or to assess the grid in its status quo from a technical perspective.
Create computable and validated grid models by connecting formerly isolated data systems and using Machine Learning algorithms to identify and correct data errors automatically
Establish transparency about the grid in its status quo by connecting grid, measurement and simulation data and performing time series based power flow calculations for an entire year
Visualize and analyze various measurement data categories (e.g. smart meter data, line measurement) with regard to different technical parameter (current, voltage, power)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 867602.