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Modelling of Low-Voltage Grids with the Help of Open Data

  • Conference paper
NEIS Conference 2016

Abstract

In many studies on the expansion and optimization of low-voltage grids for the integration of additional loads or distributed generation there is a need for extensive georeferenced grid data. In the first part of this paper a refinement and enhancement of a fully automated method for the modelling of these data from OpenStreetMap and further sources will be presented, so that a large number of synthetic low-voltage grids can be created easily. The second part introduces an optimization procedure to distribute the grid connected buildings to the substations via line sections.

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© 2017 Springer Fachmedien Wiesbaden GmbH

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Schlömer, G., Blaufuß, C., Hofmann, L. (2017). Modelling of Low-Voltage Grids with the Help of Open Data. In: Schulz, D. (eds) NEIS Conference 2016. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-15029-7_4

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