In the multi-energy system (MES), the integration of electricity, gas and heat 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.
|Title of host publication||2020 IEEE PES General Meeting|
|Publication status||Accepted/In press - 12 Mar 2020|