Optimization Scheduling for Microgrid Clusters: A Robust Game Theory-Based Method with Shared Energy Storage

In this paper, we propose a distributed robust game-theoretic optimization scheduling method consists of a comprehensive microgrid model encompassing multiple energy forms alongside a shared energy storage model, a robust optimization theory and the the Nash bargaining theory for microgrid clusters with shared energy storage. Also, we employ the alternating direction method of multipliers to solve the sub-problems in this model. In essence, our approach achieves both flexibility and economic efficiency within the system.