To address the limitations of traditional carbon sharing mechanisms
which often overlook the additional emissions caused by the uncertainty of renewable energy generation
this paper puts forward a novel bi-level method aimed at achieving low-carbon dispatch in integrated energy systems. The strategy accounts for both renewable energy carbon responsibility sharing and the synergistic effects of various demand responses. Firstly
on the supply side
a stochastic optimization method based on scenario comparison is used to quantify the additional carbon emissions induced by renewable energy fluctuations. Secondly
an improved Shapley value-based approach is employed to allocate the residual carbon responsibility to load-side entities and to design a differentiated dynamic tiered carbon pricing mechanism
thereby addressing the combinatorial explosion problem arising from multiple stakeholders. Then
carbon pricing is combined with energy pricing to guide low-carbon demand responses on the load side
maximizing the carbon reduction efficiency of users. Finally
simulation studies on an integrated energy system with electric-thermal coupling verify the effectiveness of the proposed approach. The results indicate that the method accurately allocates carbon emission responsibilities among stakeholders. Moreover
the proposed dispatch strategy achieves a coordinated balance between carbon reduction and economic performance by effectively lowering emissions without compromising system cost-effectiveness.
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