Abstract:

In response to the problems in the current power grid operation field, such as weak carbon sensing capability, lack of carbon trace records, absence of a carbon evaluation index system, and insufficient carbon traceability technical means, the construction of a power grid electricity-carbon collaborative management and control platform to achieve intelligent analysis and decision support for power grid carbon trajectories is proposed. First, the overall architecture of the platform is built. Then, in-depth research is conducted on the key technologies of electricity-carbon collaborative management and control, focusing on improving the accuracy of carbon emission analysis and the capability of carbon data value mining. Finally, experiments are carried out to verify the platform’s functions of low-carbon dispatching optimization and real-time carbon emission monitoring. The results show that the proposed platform can effectively support the real-time monitoring of power grid carbon emissions, provide the accurate decision-making basis for low-carbon dispatching, significantly improve the effectiveness of power grid carbon management and control, and lay a technical foundation for the evaluation of carbon emission reduction potential.

Key words: power grid, electricity-carbon collaboration, carbon trace tracking, low carbon scheduling