Research on multi-energy source-load complementary scheduling method based on stepped carbon trading

A new approach for planning multi-energy loads has been proposed. This method aims to minimize the differences in multi-energy characteristics and enhance the performance of technological applications. It takes into account the effect of external factors, such as power supply and electrical equipment, on the overall power system. This approach is based on incremental carbon trade and can help improve the functionality of the power system. To plan for multi-energy and multi-load complementary systems, it is crucial to create target functions based on the energy supply and demand balance index, carbon emission minimization index, and equipment operation index. These target functions should have clear constraints to ensure that there is a balance between energy supply and demand, carbon emissions are minimized, and the multi-energy source-load complementary scheduling equipment is appropriately constrained. This will allow for successful multi-energy source-load complementary scheduling. The experiment shows that the deviation power of this method is 2.1 megawatt hours, the response time is 1.5 ms, the throughput is 996 bps, and the total load is 287 kW.