The field of grid planning is a research focus in the electrical power system research. The cost-optimized grid architecture and grid extension represent the most important objectives in the planning. In this process, the grid planning has to react optimally to changes in supply tasks in order to always ensure a reliable and efficient grid operation. Therefore, short, middle, and long-term recommendations of reasonable extension measures are identified to adapt grids to these changes at their best. Computer aided optimization methods, specially developed in the department of Electrical Power Supply, are used to determine the extension measures. In order to verify the optimization results regarding the correctness and to be able to make statements about needed grid extensions, the solution methods have to be tested and validated.

In the field of electrical power system research, it is common practice to evaluate, compare, and validate developed methods and models using standardized benchmark grid models. The field of the optimized grid planning represents a special case, since the results are potential and realizable grid topologies, which are developed based on forecasted supply tasks. In comparison, conventional benchmark grids represent synthetic grid topologies which only approximately correspond to real supply tasks. This discrepancy makes it impossible to use benchmark grids to test and validate developed grid planning approaches.

The publication of the data basis and results of grid planning algorithms for forecasted supply tasks is not common in the literature. In order to guarantee good scientific practice, the data basis and results of future grid-planning related publications at the Department of Electrical Power Supply at the Institute of Electrical Power Systems are published in this collection of grid data sets. This will provide the basis for the reproducibility of results in the research field of grid planning.