Abstract:The multi-area interconnected integrated energy system has two major advantages: multi-energy complementarity within the region and energy complementarity between regions. This paper proposes a operation method considering cloud-edge collaboration for integrated energy system to realize the advantages. Firstly, this paper designs the bi-level architecture of cloud and edge controller to coordinate the energy flow between sub-regions and within sub-region respectively. The model predictive control method (model predictive control, MPC) is used to realize the real-time energy regulation of the edge controller. Secondly, based on the proposed bi-level architecture, a bi-level energy optimization model including a centralized regulation layer and a distributed coordination layer is designed. The optimation target of centralized regulation layer is minimizing the energy demand of the entire system from the external distribution network to improve the economy. The optimation target of distribution coordination layer is minimizing the energy deviation between the actual power and the planned schedulings power of the controllable units within the area to reduce the fluctuation. Then, the specific steps of the alternating direction method of multipliers (ADMM) to solve the proposed bi-level energy optimization model are studied. Finally, the simulation verifies the economy and stability improvements of the multi-area interconnected integrated energy system by adapting the proposed operation method considering cloud-edge collaboration.