Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 936 - 957 |
| Seitenumfang | 22 |
| Fachzeitschrift | Automatisierungstechnik |
| Jahrgang | 67 |
| Ausgabenummer | 11 |
| Frühes Online-Datum | 5 Nov. 2019 |
| Publikationsstatus | Veröffentlicht - 26 Nov. 2019 |
Abstract
This paper proposes a standardized simulation environment to evaluate current and to design future multi-level grid control strategies in terms of a safe and reliable operation in future converter-dominated grids. For this, the first step is to develop a taxonomy for the uniform description of multi-level grid control strategies, to define relevant design options and to derive the relevant evaluation and comparison criteria. Furthermore, aspects of new ICT-methods (e. g., machine learning decoders for aggregated flexibility description) are presented, which can help to tap the decentral flexibility potentials in future grid control strategies. Lastly, the major converter-related aspects are investigated. In particular, the stability of converter clusters in large-scale energy systems is analysed and new monitoring possibilities utilizing converter systems will be introduced.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Angewandte Informatik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Automatisierungstechnik, Jahrgang 67, Nr. 11, 26.11.2019, S. 936 - 957.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Standardized evaluation of multi-level grid control strategies for future converter-dominated electric energy systems
AU - Sarstedt, Marcel
AU - Dokus, Marc
AU - Gerster, Johannes
AU - Himker, Niklas
AU - Hofmann, Lutz
AU - Lehnhoff, Sebastian
AU - Mertens, Axel
N1 - Funding information: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 359921210.
PY - 2019/11/26
Y1 - 2019/11/26
N2 - This paper proposes a standardized simulation environment to evaluate current and to design future multi-level grid control strategies in terms of a safe and reliable operation in future converter-dominated grids. For this, the first step is to develop a taxonomy for the uniform description of multi-level grid control strategies, to define relevant design options and to derive the relevant evaluation and comparison criteria. Furthermore, aspects of new ICT-methods (e. g., machine learning decoders for aggregated flexibility description) are presented, which can help to tap the decentral flexibility potentials in future grid control strategies. Lastly, the major converter-related aspects are investigated. In particular, the stability of converter clusters in large-scale energy systems is analysed and new monitoring possibilities utilizing converter systems will be introduced.
AB - This paper proposes a standardized simulation environment to evaluate current and to design future multi-level grid control strategies in terms of a safe and reliable operation in future converter-dominated grids. For this, the first step is to develop a taxonomy for the uniform description of multi-level grid control strategies, to define relevant design options and to derive the relevant evaluation and comparison criteria. Furthermore, aspects of new ICT-methods (e. g., machine learning decoders for aggregated flexibility description) are presented, which can help to tap the decentral flexibility potentials in future grid control strategies. Lastly, the major converter-related aspects are investigated. In particular, the stability of converter clusters in large-scale energy systems is analysed and new monitoring possibilities utilizing converter systems will be introduced.
KW - controller conflicts
KW - converter cluster
KW - grid control strategies
KW - grid impedance estimation
KW - harmonic stability
KW - machine learning decoder
KW - multi-level grid simulation
UR - http://www.scopus.com/inward/record.url?scp=85075133340&partnerID=8YFLogxK
U2 - 10.1515/auto-2019-0061
DO - 10.1515/auto-2019-0061
M3 - Article
VL - 67
SP - 936
EP - 957
JO - Automatisierungstechnik
JF - Automatisierungstechnik
SN - 0178-2312
IS - 11
ER -