Abstract
Hydrogen storage has emerged as a promising solution to balance the increasing volatility in the energy system. In this work we focus on the representation of hydrogen in a stochastic power market model, and different estimation procedures of hydrogen end value setting in a subsequent short-term simulator under VRE uncertainty. The method is tested in a case study for a scenario of the future power system in Northern Europe. The choice of hydrogen end value setting is shown to be largest with a short horizon in the short-term model, yielding large differences in storage utilization. When increasing the horizon to twice the duration of the storage, differences in both utilization and socioeconomic result between the alternatives decrease.