Multi-time-scale Dynamic Optimization Scheduling of Interconnected Electric-hydrogen Integrated Energy System Based on P2H-Hydrogen Storage-Hydrogen Pipeline Network Synergy

To address the challenges of energy consumption and economic efficiency faced by multi-region integrated energy interconnection system(MRIEIS) under the high penetration of renewable energy, a multi-time-scale optimization scheduling model including electric, hydrogen, thermal, and cooling energy flows is constructed. The model aims to minimize the total daily operation cost of the system and establishes a dynamic multi-energy flow hub that deeply integrates key technologies such as power-to-hydrogen(P2H), hydrogen storage tanks, hydrogen pipeline networks, and gas turbine(GT) hydrogen blending. Through three-stage rolling optimization in the forward-looking, intra-day, and real-time periods, the system is finely scheduled. The case study is based on a typical scenario including residential, industrial, and mixed-type regions. The results show that this model can effectively achieve the unity of system economic efficiency and environmental protection. The total operation cost is controlled at 564800 yuan, and the total renewable energy utilization rate of the system reaches 98.53%. As a flexible energy carrier, the temporal and spatial value of hydrogen is fully utilized. The hydrogen blending strategy effectively stimulates hydrogen consumption, forming a closed loop of “production-storage-transmission-use”, providing a feasible technical path and scheduling strategy reference for building a new type of power system based on new energy.