  Future energy systems rely mostly on supply-dependent resources like wind and
solar energy. Since most of the produced energy from distributed renewable
sources arises as electricity, electrification of energy consumers and
producers, called prosumers, expands. In this context, multi-modal distribution
grids make use of the storage capabilities of other energy sectors like heat,
and abolish the supply-dependency and uncertainty of the feed-in of
decentralized generators. This provides flexibility in the energy system, which
increases security of supply and at the same time ensures economical energy
provision. The subject of this paper is to exploit the flexibility of such a
multi-modal energy system for operation in an optimal way. The cellular
approach serves here as the energy system architecture. Aim is to provide
flexibility with a cell by optimally distributing a flexibility request to
subordinate prosumers changing their active and reactive power. The load change
is hereby to be optimally dispatched to the different components of the
prosumers under consideration of technical restrictions and dynamic behavior of
components, the grids and economical aspects. For dynamic modelling and
simulation the open-source modelling language Modelica is used. Using a
low-voltage benchmark model expanded by multi-modal technologies, the proposed
methodology shows that the cells are capable of providing flexibility to the
overlying grid with high accuracy at low costs.

Systems and Control;Systems and Control