Distributed Optimal Scheduling of Multi-region Integrated Energy Systems Considering Regional Heating Network

Abstract

This paper focuses on the joint optimization scheduling of multi-region integrated energy systems (IES) and the influence of regional heating networks on joint scheduling. The IES model is firstly established, including the heating network model and the internal equipment model. Then, in order to ensure the independence of each IES, a bi-level model of multi-region IESs joint scheduling considering regional heating network is established, which is solved by distributed algorithm-analysis target cascading method (ATC). Finally, the simulation results show that the proposed model can effectively optimize the energy scheduling between IESs while ensuring the independence of each IES. The regional heating network can be used as heat storage equipment to participate in the joint scheduling, and absorbs the excess heat energy in IES that cannot be transferred to other IESs.