  The rapid uptake of renewable energy sources in the electricity grid leads to
a demand in load shaping and flexibility. Energy storage devices such as
batteries are a key element to provide solutions to these tasks. However,
typically a trade-off between the performance related goal of load shaping and
the objective of having flexibility in store for auxiliary services, which is
for example linked to robustness and resilience of the grid, can be observed.
We propose to make use of the concept of Pareto optimality in order to resolve
this issue in a multiobjective framework. In particular, we analyse the Pareto
frontier and quantify the trade-off between the non-aligned objectives to
properly balance them.
