Hydrogen-Aeolic Energy with Optimised eLectrolysers Upstream of Substation

Control system for energy-storage use case

Muhammad B. Adbelghany, Muhammad F. Sheshzad, Davide Liuzza, Valerio Mariani and Luigi Glielmo (UniSannio) are the authors of the deliverable on the control system developed for energy-storage use case, for the HAEOLUS project.

The report regards the formulation of a Model Predictive Control (MPC) policy for hydrogen-based storage plants in the energy storage use case defined by the IEA-HIA Task 24 final report, to be operated in parallel to wind farms. The control objectives are to simultaneously smooth the real wind power output and optimize the storage performance of the energy storage system while tracking the grid operator reference.