With the development of new technologies, e.g., big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence, integrated energy services are expected to witness its connotation expansion. Integrated energy systems entail services and management for large-scale targets, processing massive data, as well as high demands on privacy and security, which has push conventional centralized cloud computing architecture beyond its application scope. Distributed edge computing blazes a new trail for solving this predicament. The difficulties and challenges encountered by the integrated energy system in its operation and control are analyzed,considering the actual business requirements. Based on the Internet of Things, a layered collaborative control architecture for the system is built, which consists of a perceptive layer, a network layer, a platform layer and an application layer. The feasibility and value of edge computing technologies applied in the four layers are investigated. Furthermore, taking industrial parks as examples, a multilateral collaborative operation and control model for regional integrated energy systems is proposed and its solving methodology is given as well. Finally, the application prospects of edge computing technologies in integrated energy services are made.
