Using data analytics for more cost-effective grid planning

The energy transition is posing ever new challenges to electrical distribution grids. Peaks in electric load and generation peaks are calling for a change in today’s grid operation and planning behavior. Conventional grid upgrades, i.e., thicker power cables and bigger transformers, could technically solve the problem, but would result in dramatically increased grid maintenance costs. The solution for this dilemma is a more data-driven, detailed and therefore cost-effective grid analysis and planning based on the newly available data streams coming from SmartMeters and other sensors in the grid.

Read Dr. Andreas Ulbig’s full article on the topic, which was recently published in the journal netzpraxis (in German).