Regionalized Aggregation of Distributed Energy Resources and Distribution Networks for Large-scale Dynamic Simulations
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Paper number
1818
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Würl, Thomas, Technical University of Munich, Germany
Hewes, Dominic, Technical University of Munich, Germany
Viernstein, Lorenz, Technical University of Munich, Germany
Stenzel, Daniel, Technical University of Munich, Germany
Witzmann, Rolf, Technical University of Munich, Germany
Altschäffl, Sascha, TenneT TSO GmbH, Germany
Schmidt, Jörg Michael , TenneT TSO GmbH, Germany
Jahn, Jörg, TenneT TSO GmbH, Germany
Hewes, Dominic, Technical University of Munich, Germany
Viernstein, Lorenz, Technical University of Munich, Germany
Stenzel, Daniel, Technical University of Munich, Germany
Witzmann, Rolf, Technical University of Munich, Germany
Altschäffl, Sascha, TenneT TSO GmbH, Germany
Schmidt, Jörg Michael , TenneT TSO GmbH, Germany
Jahn, Jörg, TenneT TSO GmbH, Germany
Abstract
The increase of distributed energy resources (DER) and the decreasing conventional centralized power generation result in transmission grid behavior that is strongly influenced by distribution systems. An approach to model their influence while taking the regional differences of the infeed and load distribution as well as the regional topology into account is therefore necessary. However, a detailed large-scale model containing all voltage levels is impractical due to the enormous amount of models and nodes. This paper describes a method to create aggregated regionalized distribution networks for dynamic simulations in the transmission grid. The validity of the method is tested and a comparison of a test system with and without distribution networks is presented to show the influence of the modeling method.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/590
http://dx.doi.org/10.34890/815
http://dx.doi.org/10.34890/815
ISSN
2032-9644
ISBN
978-2-9602415-0-1