Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2020 International Conference on Smart Grids and Energy Systems (SGES 2020) |
| Publisher | IEEE Computer Society |
| Pages | 175-180 |
| Number of pages | 6 |
| ISBN (electronic) | 978172818550-7 |
| Publication status | Published - 2020 |
| Event | International Conference on Smart Grids and Energy Systems - Perth, Australia Duration: 23 Nov 2020 → 26 Nov 2020 https://www.sges2020.org/keynote-speakers |
Abstract
Keywords
- Aggregation of flexibilities, Ancillary services, Feasible operation region, Hierarchical grid control, Multi-criteria optimization, Multi-level grid control, System operator cooperation
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Automotive Engineering
- Engineering(all)
- Electrical and Electronic Engineering
- Mathematics(all)
- Control and Optimization
- Social Sciences(all)
- Transportation
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Proceedings 2020 International Conference on Smart Grids and Energy Systems (SGES 2020). IEEE Computer Society, 2020. p. 175-180 9364631.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Simulation of Hierarchical Multi-Level Grid Control Strategies
AU - Sarstedt, Marcel
AU - Kluß, Leonard
AU - Dokus, Marc
AU - Gerster, Johannes
AU - Hofmann, Lutz
N1 - Funding information: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) project number – 359921210.
PY - 2020
Y1 - 2020
N2 - The transition of the electrical power system leads not only to new challenges but also opportunities for a reliable, system-wide provision of ancillary services in the future. Because of the massive integration of converter coupled, ancillary service capable system elements to the distribution grid level, system operators and researchers investigate the potentials of a vertical ancillary service provision across several voltage levels. This requires a revision of the requirements and specifications at the interfaces between the grid levels, as well as an intensified cooperation of the system operators within a multi(-voltage)-level grid control strategy. In addition to classical centralized or decentralized approaches, current research focuses on hierarchical grid control strategies based on a distributed decision-making process and the provision of aggregated lower-level flexibilities for higher-level system operation. This paper presents a reproducible simulation approach for the evaluation, comparison and development of hierarchical multi-level grid control strategies based on analyses of the steady-state. Investigation objectives are for example the comparison of flexibility aggregation methods or the specification of a lower-level flexibility request within higher-level grid control under consideration of the effects on the overall system.
AB - The transition of the electrical power system leads not only to new challenges but also opportunities for a reliable, system-wide provision of ancillary services in the future. Because of the massive integration of converter coupled, ancillary service capable system elements to the distribution grid level, system operators and researchers investigate the potentials of a vertical ancillary service provision across several voltage levels. This requires a revision of the requirements and specifications at the interfaces between the grid levels, as well as an intensified cooperation of the system operators within a multi(-voltage)-level grid control strategy. In addition to classical centralized or decentralized approaches, current research focuses on hierarchical grid control strategies based on a distributed decision-making process and the provision of aggregated lower-level flexibilities for higher-level system operation. This paper presents a reproducible simulation approach for the evaluation, comparison and development of hierarchical multi-level grid control strategies based on analyses of the steady-state. Investigation objectives are for example the comparison of flexibility aggregation methods or the specification of a lower-level flexibility request within higher-level grid control under consideration of the effects on the overall system.
KW - Aggregation of flexibilities
KW - Ancillary services
KW - Feasible operation region
KW - Hierarchical grid control
KW - Multi-criteria optimization
KW - Multi-level grid control
KW - System operator cooperation
UR - http://www.scopus.com/inward/record.url?scp=85102740089&partnerID=8YFLogxK
U2 - 10.1109/SGES51519.2020.00038
DO - 10.1109/SGES51519.2020.00038
M3 - Conference contribution
SP - 175
EP - 180
BT - Proceedings 2020 International Conference on Smart Grids and Energy Systems (SGES 2020)
PB - IEEE Computer Society
T2 - International Conference on Smart Grids and Energy Systems
Y2 - 23 November 2020 through 26 November 2020
ER -