Modelling of Synthetic Power Distribution Systems in Consideration of the Local Electricity Supply Task
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Paper number
2107
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Tran, Jacob, FGH e.V., Germany
Pfeifer, Pascal, FGH e.V., Germany
Wirtz, Christoph, FGH e.V., Germany
Wursthorn, Dominik, FGH e.V., Germany
Vennegeerts, Hendrik, FGH e.V., Germany
Moser, Albert, FGH e.V. / RWTH Aachen, Germany
Pfeifer, Pascal, FGH e.V., Germany
Wirtz, Christoph, FGH e.V., Germany
Wursthorn, Dominik, FGH e.V., Germany
Vennegeerts, Hendrik, FGH e.V., Germany
Moser, Albert, FGH e.V. / RWTH Aachen, Germany
Abstract
With the increasing integration of renewable energy sources into the electricity supply system, planning and operation of power distribution systems has become more complex and challenging. As a consequence of this progress, new and innovative concepts for distribution system operation are in research. Therefore, detailed grid models are required. Due to different power demand and generation according to the region, these grids show a very heterogenous structure. Thus, this paper proposes an approach to synthesize grid models based on the real supply task of German grids.Publicly available data of geoinformation systems, demography, and power generations in combination with a probabilistic approach based on evaluations of real grid data is used to identify the electricity supply task in high spatial resolution. Considering the local supply task, the grid topology is simulated in a two-step heuristic, including a capacitated vehicle routing problem to determine the basic grid topology.The resulting model is able to generate German MV grids in high spatial resolution. Further, it is possible to identify and reproduce local characteristics.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/732
http://dx.doi.org/10.34890/956
http://dx.doi.org/10.34890/956
ISSN
2032-9644
ISBN
978-2-9602415-0-1