Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

The development of miniaturized nuclear power (NP) units and the improvement of the carbon trading market provide a new way to realize the low-carbon operation of integrated energy systems (IES). In this study, NP units and carbon trading mechanisms are introduced into the IES to build a new low-carbon scheduling model. In view of the decrease in system operation flexibility caused by the introduction of NP unit, on the one hand, the heating renovation of the NP unit is carried out to make it a cogeneration unit, to expand its operating range and improve its operating flexibility; on the other hand, auxiliary equipment such as electricity storage system, heat storage system and power to gas unit, which can carry out energy time translation or energy form conversion, are introduced into IES to jointly improve the flexibility of system operation. In the model-solving stage, the chance -constrained programming (CCP) model considering the uncertainty of the renewable energy (RE) output is converted into an equivalent mixed-integer linear programming (MILP) model using discretized step trans-formation. The test system built based on real data of an IES in North China shows that the proposed method has good economic and low-carbon environmental protection benefits.

Automated summary

This study introduces miniaturized nuclear power units and carbon trading mechanisms into integrated energy systems to create a new low-carbon scheduling model, improving system flexibility through heating renovation and the introduction of auxiliary equipment. A chance-constrained programming model is converted into an equivalent mixed-integer linear programming model in the solving stage, showing good economic and environmental benefits in real data testing.