University of Wuppertal
Automated assessment of long-term grid expansion needs in low-voltage networks
The automated strategic grid planning software enables the integration and definition of relevant scenarios, selection of various conventional and innovative planning measures, and automated determination and optimization of expansion needs in the low-voltage grid. With IGP grid models, comprehensive low-voltage planning can be conducted quickly and efficiently. The IGP also enables load forecasting for the grids based on network studies, providing valuable input for University of Wuppertal’s (BUW) grid expansion planning.
envelio and BUW
Through envelio’s digitalization of low-voltage networks, BUW’s software enables comprehensive strategic grid planning. This helps grid planners to identify long-term expansion needs—particularly concerning the addition of photovoltaic systems, electric heat pumps, and charging infrastructure for e-mobility. An automated feedback loop for the generated expansion measures via interface is already in development.
BUW’s software allows for the use of both pre-defined and new scenarios, with flexible load distributions and multi-year planning that builds upon itself. Challenges identified across the planning years can be addressed with conventional measures and innovative technologies, such as regulated distribution transformers or load management under §14a of the Energy Industry Act (EnWG). A heuristic optimization algorithm is employed to determine the optimal combination of grid expansion measures.
Additionally, grid utilization forecasts from network studies in the IGP can be used to plan strategic grid expansions and corresponding measures more efficiently and in an integrated manner within BUW’s software.