Bi-layer economic scheduling for integrated energy system based on source-load coordinated carbon reduction

Abstract

Under the background of “dual carbon” target, integrated energy system (IES) is an effective way to achieve a high proportion of renewable energy consumption and carbon emission reduction. In order to deeply explore the energy-saving and emission-reduction potential of the source-load side of the IES, the coordinated adjustment is made to the source-side energy production and the load-side energy consumption. And by adding the electric vehicle charging station (EVCS) to the IES, electric vehicles are added to the scheduling process as controllable loads and mobile energy storage to realize energy interaction among multiple stakeholders. On this basis, this study establishes an IES-EVCS bi-layer economic scheduling model based on source-load coordinated carbon reduction. The model introduces the ladder-type carbon trading mechanism, combined with the demand response characteristics of flexible loads, to jointly guide the economic low-carbon operation of the IES. In order to closely connect the upper and lower layers, the multi-source dynamic pricing mechanism is proposed to guide electric vehicles to adjust the charging and discharging plan. Case studies verify that the proposed scheduling model can effectively optimize the load curve, improve the level of renewable energy consumption, and reduce carbon emissions.