Integration and Coordination of Flexible Resources in Multi-energy Systems

In a multi-energy system (MES), the integration of electricity, gas, district heating and cooling networks provides a promising opportunity to coordinate flexible resources (FRs). This paper proposes a multi-objective optimization model for coordinating FRs in different energy subsystems. The proposed scheduling model enables the MES to intelligently choose and utilize available FRs based on price signals of day-ahead markets, while allowing each energy subsystem to pursue its own maximal profit. An illustrative case study is analyzed to show the effectiveness of the proposed approach.