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@INPROCEEDINGS{Glucker:907660,
author = {Glucker, Philipp and Langiu, Marco and Pesch, Thiemo and
Dahmen, Manuel and Benigni, Andrea},
title = {{I}ncorporating {AC} {P}ower {F}low into the
{M}ulti-{E}nergy {S}ystem {O}ptimization {F}ramework
{COMANDO}},
publisher = {IEEE},
reportid = {FZJ-2022-02139},
isbn = {978-1-6654-1007-6},
pages = {1-6},
year = {2022},
abstract = {Most multi-energy system (MES) optimization frameworks
employ a single- or multi-node approach for balancing the
respective commodities and do not accurately represent the
physical behavior of energy grids that exert a major impact
on optimal MES design and operation. This paper presents the
integration of power flow equations into our open-source
energy system optimization framework COMANDO. To this end,
three power grid representations are implemented, including
the nonlinear AC power flow equations. In an illustrative
case study, we compare the optimal design of a small MES
with integrated AC power flow equations to the design
resulting from the conventional single-node approach. In
both cases we consider operation with intertemporal
constraints. The results exemplify that accounting for AC
power flow can significantly impact both the sizing of
energy system components and the system operation.},
month = {Apr},
date = {2022-04-04},
organization = {2022 Open Source Modelling and
Simulation of Energy Systems (OSMSES),
Aachen (Germany), 4 Apr 2022 - 5 Apr
2022},
cin = {IEK-10},
cid = {I:(DE-Juel1)IEK-10-20170217},
pnm = {1122 - Design, Operation and Digitalization of the Future
Energy Grids (POF4-112)},
pid = {G:(DE-HGF)POF4-1122},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:000852742000021},
doi = {10.1109/OSMSES54027.2022.9769138},
url = {https://juser.fz-juelich.de/record/907660},
}