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  4. Increasing tightness by introduction of intertemporal constraints in MILP unit commitment
 
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Increasing tightness by introduction of intertemporal constraints in MILP unit commitment

Citation Link: https://doi.org/10.15480/882.2544
Publikationstyp
Conference Paper
Date Issued
2019
Sprache
English
Author(s)
Zimmermann, Tobias  
Cors, Tobias  
Erichsen, Gerrit  orcid-logo
Kather, Alfons  
Institut
Energietechnik M-5  
TORE-DOI
10.15480/882.2544
TORE-URI
http://hdl.handle.net/11420/4142
Start Page
209
End Page
214
Citation
in Schulz, Detlef (Hrsg.) NEIS 2019 Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 19 – 20 September 2019. 2019. S. 209-214
Contribution to Conference
Conference on Sustainable Energy Supply and Energy Storage Systems (NEIS 2019)  
Publisher Link
https://www.vde-verlag.de/buecher/565152/neis-2019.html
https://ieeexplore.ieee.org/abstract/document/9093085
Scopus ID
2-s2.0-85091856582
Publisher
VDE Verlag
Flexibility requirements of controllable units in energy systems increase with high shares of volatile renewable energy (VRE) production. In this work, an existing unit commitment optimisation, formulated as mixed-integer linear problem (MILP) for energy systems is extended with intertemporal constraints to achieve a more realistic and detailed portrayal of the producer park against the backdrop of need for higher flexibilities. Those extensions mainly consider start-up times as well as minimum operating and standstill periods from a technical perspective, which are associated with rising complexity as well as tightness of the MILP. A small-scale energy system designed as a single copper plate with island restrictions, consisting of a conventional power plant, a short-term and a long-term energy storage and a VRE producer park is used to investigate the effects of the integrated intertemporal constraints.
The study shows, that unit commitment is widely influenced by these extensions and the scattering of units, observed in the reference system without these extensions, is eliminated. The number of starts and operating hours therefore results in a more realistic unit commitment. Even though the equation numbers of the MILP increases drastically, the computation time is lowered significantly.
Subjects
mixed integer linear programming
unit commitment
computational efficiency
intertemporal constraints
DDC Class
600: Technik
Funding(s)
Wärmesektor - Gesamtsystemuntersuchung des Energienetzes bei steigender regenerativer Erzeugung mit Analyse der Sektorkopplung  
VEREKON - Versorgungssicherheit durch Zusammenwirken von regenerativer und konventioneller Stromerzeugung  
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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