Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1685-1691 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 978-1-5386-6376-9 |
| ISBN (Print) | 978-1-5386-6377-6 |
| Publikationsstatus | Veröffentlicht - Feb. 2019 |
| Veranstaltung | 2019 IEEE International Conference on Industrial Technology, ICIT 2019 - Melbourne, Australien Dauer: 13 Feb. 2019 → 15 Feb. 2019 |
Publikationsreihe
| Name | Proceedings of the IEEE International Conference on Industrial Technology |
|---|---|
| Band | 2019-February |
| ISSN (Print) | 2641-0184 |
| ISSN (elektronisch) | 2643-2978 |
Abstract
This paper presents a novel approach for an energy control of a DC microgrid. It combines decentralized grid management and energy management. For this purpose, the conventional voltage droop curves are extended to a characteristic diagram with electricity costs as a further dimension. The support points of these characteristic diagrams are then optimized with a particle swarm optimizer. The target criterion of this optimization is a monetary cost function, that takes several effects, such as depth of discharge, on the operating costs into account. The optimized characteristic diagrams are designed more robust by a sensitivity analysis. The proposed method has been tested successfully in simulations and experiment and was always more cost-efficient than the initial characteristics diagram.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. S. 1685-1691 8755240 (Proceedings of the IEEE International Conference on Industrial Technology; Band 2019-February).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Cost-optimized control of dc microgrids based on characteristic diagrams
AU - Knöchelmann, Elias
AU - Tappe, Svenja
AU - Ortmaier, Tobias
AU - Mannel, Alexander
N1 - Funding information: VI. ACKNOWLEDGMENT This project was part of the DC-INDUSTRIE research project, funded by the German Federal ministry of Economic Affairs and Energy (BMWi).
PY - 2019/2
Y1 - 2019/2
N2 - This paper presents a novel approach for an energy control of a DC microgrid. It combines decentralized grid management and energy management. For this purpose, the conventional voltage droop curves are extended to a characteristic diagram with electricity costs as a further dimension. The support points of these characteristic diagrams are then optimized with a particle swarm optimizer. The target criterion of this optimization is a monetary cost function, that takes several effects, such as depth of discharge, on the operating costs into account. The optimized characteristic diagrams are designed more robust by a sensitivity analysis. The proposed method has been tested successfully in simulations and experiment and was always more cost-efficient than the initial characteristics diagram.
AB - This paper presents a novel approach for an energy control of a DC microgrid. It combines decentralized grid management and energy management. For this purpose, the conventional voltage droop curves are extended to a characteristic diagram with electricity costs as a further dimension. The support points of these characteristic diagrams are then optimized with a particle swarm optimizer. The target criterion of this optimization is a monetary cost function, that takes several effects, such as depth of discharge, on the operating costs into account. The optimized characteristic diagrams are designed more robust by a sensitivity analysis. The proposed method has been tested successfully in simulations and experiment and was always more cost-efficient than the initial characteristics diagram.
KW - Characteristic diagrams
KW - DC microgrid
KW - Energy control
KW - Voltage droop control
UR - http://www.scopus.com/inward/record.url?scp=85069054273&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2019.8755240
DO - 10.1109/ICIT.2019.8755240
M3 - Conference contribution
AN - SCOPUS:85069054273
SN - 978-1-5386-6377-6
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 1685
EP - 1691
BT - Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Industrial Technology, ICIT 2019
Y2 - 13 February 2019 through 15 February 2019
ER -