Considering Carbon Trading Certification, Green Card Trading and Other Factors, the Integrated Energy Optimization Design of the Park's Source, Grid, Load and Storage

Under the backdrop of large-scale integration of renewable energy into the power grid and the implementation of the “carbon peak and carbon neutrality” policy, the primary bearing form of energy in future human society is expected to be the integrated energy system. To better deal with the increasingly serious economic, environmental and energy pressures, how to design a reasonable carbon trading mechanism in energy optimization scheduling and solve the problem of industrial carbon emissions has attracted more and more attention. Considering the impact of carbon trading certification and green card trading on economic cost, operation management and other aspects of the IES of source, grid, load and energy storage system in the park, In the paper, we propose a distributed low-carbon optimal scheduling technology for multi-park IES. Taking the multi-micro energy grid as the research object, a distributed integrated energy system model architecture was established, and the system was distributed optimized based on the ADMM algorithm. The simulation example shows that the proposed optimization strategy can significantly lessen the cost of carbon emission and the total operation cost of the system.