Research on the Optimal Scheduling of Multi-Energy Flow Coupling in the Integrated Energy Supply System of Electricity-Hydrogen-Transportation

With the rapid development of hydrogen fuel cell vehicles (HFCVs), the coupling relationship among the electricity network, hydrogen network, and transportation network has become increasingly complex, and the issues of new energy consumption and the peak-valley difference of load have gradually become prominent. Taking the Integrated Energy Supply System (IESS) as the core, this paper proposes an optimal scheduling strategy for multi-energy flow coupling. A collaborative model of the electricity-hydrogen-transportation networks is constructed to clarify the dynamic interaction relationship of HFCVs as coupling elements. Furthermore, an orderly hydrogen refueling strategy for HFCVs based on the Elite Genetic Algorithm (EGA) is proposed to reduce user costs and the peak-valley difference of hydrogen load. Short-term, shared, and long-term hydrogen energy storage scheduling modes are designed to achieve cross-seasonal energy interaction. Case studies show that the orderly hydrogen refueling strategy can reduce user costs and the peak-valley difference of hydrogen load, and the energy self-consistency rate of the system is greatly improved after the configuration of hydrogen energy storage, verifying the effectiveness of the model.