Hauptseite > Workflowsammlungen > Publikationsgebühren > Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI > print

001     1018615
005     20250204113739.0
024 7 _ |a 10.1016/j.apenergy.2023.122351
|2 doi
024 7 _ |a 0306-2619
|2 ISSN
024 7 _ |a 1872-9118
|2 ISSN
024 7 _ |a 10.34734/FZJ-2023-04930
|2 datacite_doi
024 7 _ |a WOS:001127131000001
|2 WOS
037 _ _ |a FZJ-2023-04930
082 _ _ |a 620
100 1 _ |a Titz, Maurizio
|0 P:(DE-Juel1)184782
|b 0
|e Corresponding author
245 _ _ |a Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
260 _ _ |a Amsterdam [u.a.]
|c 2024
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1706507255_21779
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The transition to a sustainable energy supply challenges the operation of electric power systems in various ways. Transmission grid loads increase as wind and solar power is often installed far away from the consumers. System operators resolve grid congestion via countertrading or redispatch to ensure grid stability. While some drivers of congestion are known, the magnitude of their impact is unclear, and other factors might still be unidentified.In this study, we conduct a data-driven investigation of congestion in the German transmission grid that reveals drivers and mitigators and quantifies their impact ex-post. Specifically, we used Gradient Boosted Trees and SHAP values to develop an explainable machine learning model for the hourly volume of redispatch and countertrade. As expected, wind power generation in northern Germany emerged as the main driver. Cross-border electricity trading, especially with Denmark, also plays an important role. German solar power has very little effect. Furthermore, our results suggest that run-of-river generation in the alpine region has a strong mitigating effect. Our results support the idea that market design changes, e.g., a bidding zone split, could contribute to congestion prevention.
536 _ _ |a 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)
|0 G:(DE-HGF)POF4-1122
|c POF4-112
|f POF IV
|x 0
536 _ _ |a HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)
|0 G:(DE-Juel1)HDS-LEE-20190612
|c HDS-LEE-20190612
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Pütz, Sebastian
|0 P:(DE-Juel1)190862
|b 1
700 1 _ |a Witthaut, Dirk
|0 P:(DE-Juel1)162277
|b 2
773 _ _ |a 10.1016/j.apenergy.2023.122351
|g Vol. 356, p. 122351 -
|0 PERI:(DE-600)2000772-3
|p 122351
|t Applied energy
|v 356
|y 2024
|x 0306-2619
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1018615/files/1-s2.0-S0306261923017154-main.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1018615/files/Redispatch_Paper.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1018615/files/Redispatch_Paper.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1018615/files/Redispatch_Paper.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1018615/files/Redispatch_Paper.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1018615/files/Redispatch_Paper.jpg?subformat=icon-640
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1018615/files/1-s2.0-S0306261923017154-main.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1018615/files/1-s2.0-S0306261923017154-main.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1018615/files/1-s2.0-S0306261923017154-main.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1018615/files/1-s2.0-S0306261923017154-main.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1018615
|p openaire
|p open_access
|p OpenAPC_DEAL
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)184782
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)162277
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
|1 G:(DE-HGF)POF4-110
|0 G:(DE-HGF)POF4-112
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Digitalisierung und Systemtechnik
|9 G:(DE-HGF)POF4-1122
|x 0
914 1 _ |y 2024
915 p c |a APC keys set
|2 APC
|0 PC:(DE-HGF)0000
915 p c |a Local Funding
|2 APC
|0 PC:(DE-HGF)0001
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-25
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-25
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b APPL ENERG : 2022
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-02
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-02
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b APPL ENERG : 2022
|d 2025-01-02
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-10-20170217
|k IEK-10
|l Modellierung von Energiesystemen
|x 0
980 1 _ |a APC
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-10-20170217
980 _ _ |a APC
981 _ _ |a I:(DE-Juel1)ICE-1-20170217

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21