Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | 2024 European Control Conference, ECC 2024 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 1509-1515 |
Seitenumfang | 7 |
ISBN (elektronisch) | 9783907144107 |
ISBN (Print) | 979-8-3315-4092-0 |
Publikationsstatus | Veröffentlicht - 2024 |
Veranstaltung | 2024 European Control Conference, ECC 2024 - Stockholm, Schweden Dauer: 25 Juni 2024 → 28 Juni 2024 |
Abstract
We study the dispatching of multi-modal energy systems (MMES) from a sequential market perspective based on hierarchical Model Predictive Control (MPC). In a sequential setting, an upper level determines the purchased electrical power from the day-ahead market, followed by a lower-level MPC responsible for the dispatching of the multi-energy system according to the continuous trading. Our case study consists in an MMES in Hanover, Germany, with electrical and heat demands as well as photovoltaic and wind energy generation, storage and coupling elements. We show that the hierarchical MPC solution can be embedded within the European market and German market area to provide a judicious dispatching of the MMES, also under imperfect uncertainty forecast. In particular, we discuss a reasonable choice for the prediction horizons and the effect of the forecast on the total incurring cost.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Steuerung und Optimierung
- Mathematik (insg.)
- Modellierung und Simulation
Ziele für nachhaltige Entwicklung
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2024 European Control Conference, ECC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. S. 1509-1515.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Predictive Operation of Multi-Energy Systems in Sequential Markets
T2 - 2024 European Control Conference, ECC 2024
AU - Jouini, Taouba
AU - Bensmann, Astrid
AU - Lilge, Torsten
AU - Hanke-Rauschenbach, Richard
AU - Müller, Matthias
PY - 2024
Y1 - 2024
N2 - We study the dispatching of multi-modal energy systems (MMES) from a sequential market perspective based on hierarchical Model Predictive Control (MPC). In a sequential setting, an upper level determines the purchased electrical power from the day-ahead market, followed by a lower-level MPC responsible for the dispatching of the multi-energy system according to the continuous trading. Our case study consists in an MMES in Hanover, Germany, with electrical and heat demands as well as photovoltaic and wind energy generation, storage and coupling elements. We show that the hierarchical MPC solution can be embedded within the European market and German market area to provide a judicious dispatching of the MMES, also under imperfect uncertainty forecast. In particular, we discuss a reasonable choice for the prediction horizons and the effect of the forecast on the total incurring cost.
AB - We study the dispatching of multi-modal energy systems (MMES) from a sequential market perspective based on hierarchical Model Predictive Control (MPC). In a sequential setting, an upper level determines the purchased electrical power from the day-ahead market, followed by a lower-level MPC responsible for the dispatching of the multi-energy system according to the continuous trading. Our case study consists in an MMES in Hanover, Germany, with electrical and heat demands as well as photovoltaic and wind energy generation, storage and coupling elements. We show that the hierarchical MPC solution can be embedded within the European market and German market area to provide a judicious dispatching of the MMES, also under imperfect uncertainty forecast. In particular, we discuss a reasonable choice for the prediction horizons and the effect of the forecast on the total incurring cost.
UR - http://www.scopus.com/inward/record.url?scp=85200558452&partnerID=8YFLogxK
U2 - 10.23919/ECC64448.2024.10591115
DO - 10.23919/ECC64448.2024.10591115
M3 - Conference contribution
AN - SCOPUS:85200558452
SN - 979-8-3315-4092-0
SP - 1509
EP - 1515
BT - 2024 European Control Conference, ECC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 June 2024 through 28 June 2024
ER -