Integrated energy microgrids optimization considering hydrogen energy sharing and energy price correction under gaming strategy

With the deepening advancement of the "dual carbon" goals, constructing a multi-energy coupling system has become an urgent requirement to promote renewable energy accommodation. Owing to its flexibility and cleanliness, hydrogen has gradually become a key medium coupling traditional and renewable energy, driving the deep low-carbon transition of energy systems. To address the energy supply-demand imbalance and enhance system economic and low-carbon performance, an optimal scheduling strategy is proposed for multi-integrated energy microgrids with electricity-heat-cooling-gas-hydrogen coupling based on master-slave game. Firstly, a hydrogen sharing and multi-energy complementarity system model considering source-load flexible response is established. On the hydrogen sharing operator side, refined modeling is conducted for the integrated hydrogen production-storage process and the hydrogen liquefaction-storage link. On the integrated energy microgrids aggregator side, a comprehensive demand response model is established. Secondly, a master-slave game between hydrogen energy sharing operators and integrated energy microgrids aggregators is introduced, and a dynamic energy price correction mechanism is proposed to optimize the operator's pricing strategy. Finally, genetic algorithm combined with mixed integer programming is employed to obtain the optimal pricing and energy utilization strategies. Simulation results demonstrate that the proposed game model and scheduling strategy can balance the interests of both parties, reduce scheduling costs, meet the energy load demands of each microgrid, significantly enhance local wind and solar resource accommodation, and reduce carbon emissions.