As the end-users increasingly can provide flexibility to the power
system, it is important to consider how this flexibility can be
activated as a resource for the grid. Electricity network tariffs are
one option that can be used to activate this flexibility. Therefore, by
designing efficient grid tariffs, it might be possible to reduce the
total costs in the power system by incentivizing a change in consumption
patterns.

This paper provides a methodology for optimal grid tariff design under
decentralized decision-making and uncertainty in demand, power prices,
and renewable generation. A bilevel model is formulated to adequately
describe the interaction between the end-users and a distribution system
operator. In addition, a centralized decision-making model is provided
for benchmarking purposes. The bilevel model is reformulated as a
mixed-integer linear problem solvable by branch-and-cut techniques.

Results for a deterministic example and a stochastic case study are
presented and discussed.