Robust optimal dispatch of interconnected micro-energy network based on cooperative game

The micro-energy network is a subset of the electricity, gas, and heat energy grid. Due to its limited capacity, the energy and spare capacity of micro-energy network should be shared through interconnection. It can not only reduce the operating cost of the micro-energy network caused by power interchange deviation but also increase the consumption rate of intermittent distributed generation (IDG). On account of this assumption, a control structure and a double-layer dispatch model of the interconnected micro-energy network system are proposed in this paper. An economic dispatch model based on adaptive robust optimization is proposed to deal with the uncertainty produced by IDG and minimize the operation cost. Then, a cooperative game model of an interconnected system is built to allocate the profits obtained. Simulation results demonstrate that the proposed scheduling method can significantly reduce the cost of a single micro-energy network and interconnected system. In addition, compared to the noninteractive model and traditional deterministic method, it is proved that the proposed method has a strong capability to deal with uncertain risks, improve the consumption rate of IDG, and realize the coordinated economic optimal operation of multiple micro-energy networks.