A Hybrid Robust-stochastic Approach for Optimal Scheduling of Interconnected Hydrogen-based Energy Hubs

The energy hub (EH) concept is an efficient way to integrate various energy carriers. Inaddition, demand response programmes (DRPs) are complementary to improving anEH's efficiency and increase energy system flexibility. The hydrogen storage system, as agreen energy carrier, has an essential role in balancing supply and demand precisely,similar to other storage systems. A hybrid robust‐stochastic approach is applied herein toaddress fluctuations in wind power generation, multiple demands, and electricity marketprice in a hydrogen‐based smart micro‐energy hub (SMEH) with multi‐energy storagesystems. The proposed hybrid approach enables the operator to manage the existinguncertainties with more flexibility. Also, flexible electrical and thermal demands under anintegrated demand response programme (IDRP) are implemented in the proposedSMEH. The optimal scheduling of the hydrogen‐based SMEH problem considering windpower generation and electricity market price fluctuations, as well as IDRP, is modelledvia a mixed‐integer linear programming problem. Finally, the validity and applicability ofthe proposed model are verified through simulation and numerical results.