Low-carbon Economic Optimization of Smart Distribution Networks Based on Seasonal Carbon Trading Method and Refined Demand Response Model

With the increase of carbon emissions and global warming, it is essential to implement low-carbon economic optimization strategies for smart distribution networks. This paper proposes a seasonal carbon trading method (SCTM) and a refined demand response model for low-carbon optimization in smart distribution networks. Firstly, this study introduces a SCTM to reduce carbon emissions from the generation side. Secondly, a demand response model that incorporates industrial processes is established to enhance the demand response potential on the consumption side. Finally, the numerical examples show that the method proposed in this paper can successfully reduce carbon emissions on the source-load sides of the system and improve economic benefits in the improved IEEE 33-bus system.