RLI welcomes Ghanaian GIZ delegation
11. October 2017
Allocation of Annual Electricity Consumption and Power Generation Capacities Across Multiple Voltage Levels in a High Spatial Resolution (Hülk et al. 2017)
16. October 2017

The eGo grid model: An open-source and open-data based synthetic medium-voltage grid model for distribution power supply systems (Amme et al. 2017)

Pre-print submitted to Journal of Physics: Conference Series (JPCS)

Abstract — The increasing integration of renewable energy into the electricity supply system creates new challenges for distribution grids. The planning and operation of distribution systems requires appropriate grid models that consider the heterogeneity of existing grids. In this paper, we describe a novel method to generate synthetic medium-voltage (MV) grids, which we applied in our DIstribution Network GeneratOr (DINGO). DINGO is open-source software and uses freely available data. Medium-voltage grid topologies are synthesized based on location and electricity demand in defined demand areas. For this purpose, we use GIS data containing demand areas with high-resolution spatial data on physical properties, land use, energy, and demography. The grid topology is treated as a capacitated vehicle routing problem (CVRP) combined with a \emph{local search} metaheuristics. We also consider the current planning principles for MV distribution networks, paying special attention to line congestion and voltage limit violations. In the modelling process, we included power flow calculations for validation. The resulting grid model datasets contain 3608 synthetic MV grids in high resolution, covering all of Germany and taking local characteristics into account. We compared the modelled networks with real network data. In terms of number of transformers and total cable length, we conclude that the method presented in this paper generates realistic grids that could be used to implement a cost-optimised electrical energy system.

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