Probabilistic analysis of integrated electricity and gas network with Power-to-Hydrogen

The decarbonization process of traditionally high emitting sectors imposes drastic practices as the hydrogen injection in the gas network infrastructures. However, uncertainties in renewable generation, electricity and gas demand can have a negative impact in the operation of both networks and in the quality of the delivered gas. This work performs a probabilistic analysis of an Integrated Electricity and Gas System (IEGS), where surplus electricity from renewable units is used to produce hydrogen in a Power-to-Hydrogen (PtH) unit and directly inject it to the gas network. The correlations among the random variables are considered and the analysis is carried out via Monte Carlo simulations. The outcomes include the distributions of power-to-hydrogen’s and networks’ operational variables and the composition of the produced blend. The suggested modelling and methodology can be adopted by network operators for designing and assessing the viability of such integrated systems.