A Source-Load Multi-Timescale Energy-Saving Scheduling Approach for Power Systems Under Carbon Flow Emission Tracking
To promote energy saving and emission reduction during power system operation, the source-load multi-timescale energy-saving scheduling approach of power systems under carbon flow emission tracking is proposed. The fixed operation mode and the flexible operation mode of power systems under carbon flow emission tracking are analysed, and the capture level of the carbon capture equipment is adjusted through the flexible operation mode. Based on the operation modes of power systems under carbon flow emission tracking, a multi-timescale energy-saving scheduling model with pre-daily, intraday, and real-time timescale is constructed. The objective function of the scheduling model is the optimal cost of power systems, and the constraints are set. The improved multi-objective particle swarm algorithm or the standard particle swarm algorithm is adopted to solve the constructed multi-timescale scheduling model step by step, and the multi-timescale energy-saving scheduling is completed. The experimental results show that the method can effectively achieve the energy-saving and carbon reduction scheduling objectives of power systems based on resource scheduling advantages of power system source-load adjustability under different operating scenarios.