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@ARTICLE{Leenders:905803,
author = {Leenders, Ludger and Hagedorn, Dörthe Franzisca and
Djelassi, Hatim and Bardow, André and Mitsos, Alexander},
title = {{B}ilevel optimization for joint scheduling of production
and energy systems},
journal = {Optimization and engineering},
volume = {24},
issn = {1389-4420},
address = {Dordrecht [u.a.]},
publisher = {Springer Science + Business Media B.V},
reportid = {FZJ-2022-01023},
pages = {499-537},
year = {2023},
abstract = {Energy-intensive production sites are often supplied with
energy by on-site energy systems. Commonly, the scheduling
of the systems is performed sequentially, starting with the
scheduling of the production system. Often, the on-site
energy system is operated by a different company than the
production system. In consequence, the production and the
energy system schedule their operation towards misaligned
objectives leading in general to suboptimal schedules for
both systems. To reflect the independent optimization with
misaligned objectives, the scheduling problem of the
production system can be formulated as a bilevel problem. We
formulate the bilevel problem with mixed-integer decision
variables in the upper and the lower level, and propose an
algorithm to solve this bilevel problem based on the
deterministic and global algorithm by Djelassi, Glass and
Mitsos (J Glob Optim 75:341–392, 2019.
https://doi.org/10.1007/s10898-019-00764-3) for bilevel
problems with coupling equality constraints. The algorithm
works by discretizing the independent lower-level variables.
In the scheduling problem considered herein, the only
coupling equality constraints are energy balances in the
lower level. Since an intuitive distinction is missing
between dependent and independent variables, we specialize
the algorithm and add a procedure to identify independent
variables to be discretized. Thereby, we preserve
convergence guarantees. The performance of the algorithm is
demonstrated in two case studies. In the case studies, the
production system favors different technologies for the
energy supply than the energy system. By solving the bilevel
problem, the production system identifies an energy demand,
which leads to minimal cost. Additionally, we demonstrate
the benefits of solving the bilevel problem instead of
solving the common integrated or sequential problem.},
cin = {IEK-10},
ddc = {690},
cid = {I:(DE-Juel1)IEK-10-20170217},
pnm = {899 - ohne Topic (POF4-899)},
pid = {G:(DE-HGF)POF4-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000743401700001},
doi = {10.1007/s11081-021-09694-0},
url = {https://juser.fz-juelich.de/record/905803},
}