Optimizing the economic and low-carbon dispatch of source and load in a substation microgrid based on the theory of carbon emission flow

Driven by the dual carbon objectives, the power industry bears significant responsibility for achieving the new low-carbon transformation. However, traditional research on power optimization and scheduling tends to overlook the responsibility of carbon emissions caused by user-side electricity consumption behavior, focusing solely on economic and low-carbon optimization strategies from the power generation perspective. This paper constructs an economic and low-carbon optimization and scheduling model for source and load in substation microgrids. By controlling the generation cost on the source side and utilizing the node carbon intensity to reduce the carbon emissions on the load side, the model effectively reduces the overall system's electricity generation cost and carbon cost. The economic and low-carbon characteristics of the proposed model are verified by analyzing a modified case study of the IEEE33 node distribution network system.