Multi-Objective Resource Optimization Allocation of Road-Domain Integrated Energy System Considering Hydrogen Energy Storage

With the increase of unordered vehicle electric-hydrogen load in high-speed service areas and distributed wind and solar power generation in surrounding areas, the road-domain integrated energy system(RDIES) can effectively coordinate multiple energy load demands, wind and solar power consumption. A resource optimization allocation method for the RDIES considering hydrogen energy storage is proposed. Firstly, considering the demand for electric-cold-thermal-hydrogen load, the RDIES framework is constructed. Secondly, the unordered charging scenarios of vehicles are generated by the Monte Carlo method in the road domain, and the time-of-use pricing is utilized to explore the potential regulation capacity of vehicle electricity-hydrogen load. Then, a multi-objective planning model of the RDIES is constructed. The non-dominated sorting genetic algorithm (NSGA-II) and commercial solver Gurobi are utilized to solve the proposed model. Finally, the case studies are carried out to verify the effectiveness and rationality of the method.