Low‐Carbon Scheduling Strategy of Integrated Energy System Based on Improved Carbon Emission Flow and Green Certificate‐Carbon Joint Trading

ABSTRACT To achieve the low‐carbon transformation of energy system, a low‐carbon optimal scheduling strategy for integrated energy systems (IESs) based on improved carbon emission flow and green certificate‐carbon joint trading is proposed. Firstly, based on the multi‐energy coupling characteristics of IES, the impacts of renewable energy generations (REGs), multi‐energy coupling components, and energy storage devices on the carbon flow distribution are quantified, and an improved carbon flow calculation method for IES is proposed to solve the tracing problem of the temporal and spatial transfer of carbon emissions caused by the power loss of coupling components and the operation of energy storage. Then dynamic carbon emission factor reflecting the temporal and spatial distribution characteristics is proposed in combination with the concept of carbon potential. Moreover, to deeply explore the potential of source‐load synergy for carbon reduction, a green certificate‐carbon joint trading mechanism is constructed on the power generation side by combining the green certificate carbon reduction mechanism and carbon trading, and on the load side, the dynamic carbon emission factor is used as the carbon price correction coefficient for energy consumption prices, driving users to respond synergistically to carbon‐energy. Finally, by combining the scheduling of the source‐side units with the demand response on the load side, a bi‐level optimal scheduling model considering the deep reduction of carbon by source‐load synergy is constructed. The simulation analysis of the case study shows that the proposed method achieves carbon measurement, carbon tracing, and reasonable allocation of carbon emission responsibilities in the IES, effectively improving the system's carbon reduction capacity and economic benefits.