Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lindner, Martin | - |
dc.contributor.author | Peper, Jan | - |
dc.contributor.author | Offermann, Nils | - |
dc.contributor.author | Biele, Charlotte | - |
dc.contributor.author | Teodosic, Milijana | - |
dc.contributor.author | Pohl, Oliver | - |
dc.contributor.author | Menne, Julian | - |
dc.contributor.author | Häger, Ulf | - |
dc.date.accessioned | 2023-03-08T09:51:35Z | - |
dc.date.available | 2023-03-08T09:51:35Z | - |
dc.date.issued | 2022-12-29 | - |
dc.identifier.uri | http://hdl.handle.net/2003/41287 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-23129 | - |
dc.description.abstract | Anticipating and relieving congestions is an ongoing challenge for transmission system operators. Distributed grid-scale battery energy storage systems enable operators to shift power flows and remedy congestion through virtual power lines and grid boosters. This paper includes battery energy storage systems in a combined preventive and curative congestion management optimization. First, it analyzes the impact of the two operational strategies in a case study of the German transmission grid. Furthermore, it outlines curative ad-hoc measures to overcome uncertainties during operational planning and real-time operation. The simulation results indicate that battery energy storage systems further increase the use of curative measures and reduce congestion management costs. | en |
dc.language.iso | en | de |
dc.relation.ispartofseries | IET generation, transmission & distribution;17(3) | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Battery energy storage system | en |
dc.subject | Congestion management | en |
dc.subject | Grid booster | en |
dc.subject | Power flow control | en |
dc.subject | Power system simulation | en |
dc.subject | Temporary admissible transmission loading | en |
dc.subject | Virtual power line | en |
dc.subject.ddc | 620 | - |
dc.title | Operation strategies of battery energy storage systems for preventive and curative congestion management in transmission grids | en |
dc.type | Text | de |
dc.type.publicationtype | article | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | true | de |
eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1049/gtd2.12739 | de |
eldorado.secondarypublication.primarycitation | Lindner, M., Peper, J., Offermann, N., Biele, C., Teodosic, M., Pohl, O., Menne, J., Häger, U.: Operation strategies of battery energy storage systems for preventive and curative congestion management in transmission grids. IET Gener. Transm. Distrib. 17, 589– 603 (2023). https://doi.org/10.1049/gtd2.12739 | de |
Appears in Collections: | Sonstige Veröffentlichungen (Institut für Energiesysteme, Energieeffizienz und Energiewirtschaft) |
Files in This Item:
File | Description | Size | Format | |
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IET Generation Trans Dist - 2022 - Lindner - Operation strategies of battery energy storage systems for preventive and.pdf | 2 MB | Adobe PDF | View/Open |
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