An extensive supply and grid analysis solution using multiscenarios, simulation & optimization applied in a real target grid planning process
Dominique Giavarra, Andreas Maier, Christoph Engels · CIRED · 2019
The requirements for DSOs to adapt their grid structure to changing supply tasks remain high. While the integration of renewable energy resources is well advanced in many parts, now DSOs are facing new challenges in terms of market ramp-up e-mobility and decentralized energy storage facilities. These developments induce high uncertainty in the definition of realistic future supply tasks which cannot be addressed by classical “one shot” target grid planning in an extensive manner. In contrast the authors propose a comprehensive approach exploring the full variety of possible future developments using probabilistic scenarios. Beside the provision of multiple probabilistic scenarios the solution includes a simulation of asset condition, load flow calculation, automatic resolution of capacity- and condition-problems following planning and operation principles, a financial model, analytic views and an optimizer.