Optimal Planning of High Voltage Distribution Grids under a Combined Use of Energy Storage Systems and Dynamic feed-in Management

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Paper number
1778
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Laribi, Ouafa, University of Stuttgart, Germany
Rudion, Krzysztof, University of Stuttgart, Germany
Lübbe, Tobias, Netze BW GmbH, Germany
Abstract
The expanding integration of renewable energies in the German distribution grids is nowadays leading to increasing overloadings of power lines, since distribution grids have been as of yet basically dimensioned depending on the load situation and not on the generation situation of the decentralized generation units. This paper proposes a new approach for optimal planning of high voltage girds taking into account combined solution from energy storage systems and feed-in management of decentralized generation units. The presented dimensioning algorithm determines an optimal dimensioning of grid-supporting storage systems in combination with a dynamic feed-in management to overcome grid overloadings in due consideration of the (n-1)-security criterion of power lines. The results of the method consist in the minimum required storage capacity and rated power as well as the charge-discharge schedule of the storage systems and of the curtailed generating plants. The method has been applied and verified on a real 110 kV German power grid. The results show on the one side, that the combined use of energy storage systems and feed-in management leads to the compliance of the power flow on the high voltage lines with maximum thermal loading limits. On the other side, the required dimensioning of the storage systems reduces significantly in comparison with the use of the storage systems only.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/569
http://dx.doi.org/10.34890/793
ISSN
2032-9644
ISBN
978-2-9602415-0-1