Optimal day-ahead operation strategy of an electricity-hydrogen integrated energy system considering extra-day forecast information

In the context of global low-carbon development, hydrogen energy has become the focal point, and its integration with electric energy is deepening. This paper proposes an optimal day-ahead operation strategy for an electricity-hydrogen integrated energy system (E-H IES) using extra-day forecast information. HES is optimized with a more flexible way to realize inter-day energy transfer based on the different energy storage characteristics of battery energy storage (BES) and hydrogen energy storage (HES). A mixed-integer linear programming (MILP) problem is formulated to minimize the comprehensive costs including the electricity purchase and sale cost, battery lifetime depreciation cost, carbon emission cost, and correction and adjustment cost under different probability scenarios. Simulation results show that the long-cycle storage characteristics of HES are more significant, the overall system economy and battery lifetime are improved, and the abandoned renewable energy is greatly reduced.