  The development of hydrogen infrastructures requires to reduce their costs.
In this paper, we develop a multistage stochastic optimization model for the
management of a hydrogen infrastructure which consists of an electrolyser, a
compressor and a storage to serve a transportation demand. This infrastructure
is powered by three different sources: on-site photovoltaic panels (PV),
renewable energy through a power purchase agreement (PPA) and the power grid.
We consider uncertainties affecting on-site photovoltaic production and
hydrogen demand. Renewable energy sources are emphasized in the hydrogen
production process to ensure eligibility for a subsidy, which is awarded if the
proportion of nonrenewable electricity usage stays under a predetermined
threshold. We solve the multistage stochastic optimization problem using a
decomposition method based on Lagrange duality. The numerical results indicate
that the solution to this problem, formulated as a policy, achieves a small
duality gap, thus proving the effectiveness of this approach.
