Distributed Optimal Economic Dispatch for Integrated Energy System Considering Communication Delays and Event Triggering Mechanism

This paper investigates the economic dispatch problem of Integrated Energy System (IES) in a distributed fashion. A distributed double consistency algorithm is proposed to address this issue. This algorithm aims to minimize the operating cost of IES, achieving the same incremental cost of electricity and heat respectively. Meanwhile, an event triggering mechanism based on state information is proposed, which can effectively reduce the communication resources between nodes. At the same time, the time-varying delay of communication between nodes is considered, which is more practical. Finally, the effectiveness of the algorithm is verified by an IES simulation system with 30–32 nodes.