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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Smart Grid
Article . 2018 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Storage Valuation in Congested Grids

Authors: Benjamin Bocker; Stefan Kippelt; Christoph Weber; Christian Rehtanz;

Storage Valuation in Congested Grids

Abstract

This paper proposes an aggregated approach for the technical and economic assessment of battery energy storage systems (BESSs) in congested distribution grids (low voltage and medium voltage). For this purpose, the usage of BESS to avoid or temporally shift grid extensions is analyzed and compared with other technical measures such as grid extensions, innovative grid equipment, and feed-in curtailment. A combined optimization approach is used to identify jointly optimal economic decision of grid and storage operators. The investigations highlight the economic competitiveness of BESS, compared to other measures, when additional participation of BESS in wholesale market is allowed. It is shown that optimal decisions for grid development are strongly dependent on key grid parameters like line length and level of excess photovoltaic-feed-in. Moreover, the applied regulations, e.g., renewable curtailment rules, are found to impact considerably on the optimal decisions. The proposed methodology is, in contrast to existing approaches, suitable for the investigation of large varieties of grid configurations and grid utilizations with limited efforts. It thus allows identifying situations, in which the application of BESS in distribution grids is most effective. Moreover, it enables a thorough assessment of the impact of regulatory changes given large heterogeneity of existing distribution grids.

Keywords

Wirtschaftswissenschaften

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%