Conclusions

Abstract

In this thesis, we have developed a novel scenario tree-based decomposition approach incorporated in a branch-and-bound framework for the solution of multistage stochastic mixed-integer programs. This study has been motivated by the real world problem arising in energy production when large amounts of fluctuating energy are fed into the public supply network. Due to the rising participation of electricity based on wind power, the potential of energy storages to decouple fluctuating supply and demand is of great interest.