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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
Institut
TORE-DOI
TORE-URI
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
Scopus ID
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.
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
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Zimmermann - Increasing Tightness by Introduction of Intertemporal Constraints in MILP Unit Commitment - NEIS 2019 - Full Paper_reviewed.pdf
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