In a significant stride towards harmonizing renewable energy integration and carbon reduction in power systems, researchers from Tsinghua University, State Grid Shanxi Electric Power Research Institute, and China Electric Power Research Institute have developed an innovative optimization methodology for carbon capture reformation in thermal power plants. Published in the journal *Power System Technology*, the study addresses the pressing need for system flexibility and low-carbon operations in the face of increasing renewable energy penetration.
The research, led by Wu Kailang and his team, introduces a novel approach to enhance the flexible ramping capacity of thermal power units while significantly cutting carbon emissions. “Our method not only reduces the carbon footprint of power systems but also improves the economic efficiency of system operations,” Wu explained. The study establishes a comprehensive model that quantifies the flexible ramping supply capacity of thermal power units, considering the uncertainties of load and renewable energy sources.
The optimization methodology involves a fuzzy opportunity-constrained model that jointly solves carbon capture reformation planning and operation optimization problems. This dual approach ensures that thermal power plants can better accommodate renewable energy while reducing overall carbon emissions. The simulation results are promising: after optimal carbon capture reformation, the power system’s carbon emissions were significantly reduced, the renewable energy curtailment rate dropped, and the total operating cost of the system decreased by 9.44%.
The implications for the energy sector are substantial. As renewable energy sources like wind and solar continue to grow, the need for flexible and low-carbon power systems becomes ever more critical. This research provides a practical framework for thermal power plants to adapt and contribute to a more sustainable energy future. “By improving the output downward regulation space and ramping capability of thermal power plants, we can better integrate renewable energy into the grid,” added Wu.
The study also analyzed the impacts of various factors, such as unit carbon penalties, renewable energy integration ratios, and confidence levels, on carbon capture reformation results. This nuanced approach ensures that the methodology is robust and adaptable to different operational scenarios.
As the energy sector navigates the complexities of high-percentage renewable energy integration, this research offers a valuable tool for optimizing carbon capture reformation in thermal power plants. The findings not only enhance system flexibility and reduce carbon emissions but also pave the way for more economical and efficient power system operations. With the growing emphasis on sustainable energy practices, this methodology could become a cornerstone in the transition to a low-carbon future.