Hybrid Game-Theoretic Energy Sharing Strategy for Multi-Station Microgrids

This study proposes a hybrid game-theoretic approach for coordinating energy sharing in high-speed railway station microgrid clusters. By developing a two-layer framework with a mobile virtual network operator (MVNO), we integrate Stackelberg game-based dynamic pricing for grid coordination and Nash bargaining-based P2P transaction mechanisms to ensure fair revenue allocation. The innovation lies in coupling master-slave coordination with cooperative bargaining equilibrium, supported by PV -storage integrated systems that enhance renewable energy utilization. This approach provides theoretical and technical foundations for low-carbon transition of transportation hub microgrid systems.