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https://doi.org/10.36227/techr...
Article . 2020 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
https://doi.org/10.36227/techr...
Article . 2020 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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The contribution of distributed flexibility potentials to corrective transmission system operation for strongly renewable energy systems

Authors: Stefan Niessen; Stefan Niessen; Mathias Duckheim; Till Kolster; Till Kolster; Rainer Krebs; Rainer Krebs;
Abstract
<div>Corrective transmission system operation can help integrate more renewable energy sources and save redispatch costs by providing a higher utilization of the power grid.</div><div>However, reliable and fast provision of flexibility are key to achieve corrective operation. <br></div><div>This work develops a new method to determine if flexibility from distribution grids is available on transmission corridors when needed. An analysis of the German energy system in the year 2030 is performed to estimate the potential of different flexibility options and shows the potential flexibility distribution systems can contribute to a corrective transmission system operation.<br> </div>
Related Organizations
- University of Lille France
- Siemens (Germany) Germany
- TU Darmstadt Germany
- Siemens (Germany) Germany
- Otto-von-Guericke University Magdeburg Germany
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).15 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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
15
Top 10%
Top 10%
Top 10%