Multi-time Scale Optimization of Microgrids Considering Carbon Capture and User Contribution

In the context of low cost and zero carbon emission, novel energy generation methods like wind power and photovoltaic energy have emerged as pivotal solutions. This paper aims to enhance the low-carbon and economic efficiency of the microgrid system through coordination between the source and load resources. On the source side, a carbon capture and storage (CCS) device is established by installing a flue gas bypass system and solution memory in the microgrid with a predetermined flue gas split ratio. This facilitates the low-carbon transformation of thermal power units and enhances their compatibility with new energy generation. On the load side, a ladder price incentive mechanism is employed to mobilize flexible load resource and meet the economic operation of the system. Moreover, a multi-time low-carbon economic scheduling model is devised, including the day-ahead, intra-day, and real-time source-load coordination. Finally, four distinct typical scenarios are established for validation. The simulation results not only demonstrate that the enhanced integration of wind power into the grid is achieved through the demand response with a tiered pricing incentive mechanism but also reveal a significant reduction in overall costs.