Renewable energy carbon emission reduction accounting method and system considering electric carbon coupling and medium
By collecting data from the power grid dispatching system to quantify the risks of electricity-carbon coupling, and by carrying out coordinated optimization dispatching of electricity and carbon emissions and dynamic tracking of carbon emission flows, the problems of underestimation of the carbon emission reduction benefits of renewable energy and insufficient risk quantification in the power system have been solved, and accurate carbon emission reduction accounting has been achieved.
Patent Information
- Application Number
- CN202610748357.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-28
- Publication Date
- 2026-06-23
AI Technical Summary
Existing carbon emission accounting methods for the power system cannot accurately reflect the real-time correlation between renewable energy output fluctuations and grid carbon intensity, leading to an underestimation or misjudgment of carbon reduction benefits. Furthermore, they lack the ability to quantify risks and cannot scientifically quantify the actual contribution of renewable energy units under different temporal and spatial conditions.
By collecting joint time-series data of net load and carbon emissions through the power grid dispatching system, the risk of electricity-carbon coupling is quantified, and electricity-carbon coordinated optimization dispatching is carried out. The carbon emission flow is dynamically tracked using the optimal power flow distribution results. Combined with the operating characteristics of renewable energy units, the actual carbon reduction contribution value of renewable energy is allocated, and carbon emission reductions covering the entire chain of power generation, power grid and users are generated.
It enables accurate and real-time accounting of carbon emission reductions from renewable energy sources, providing comprehensive and accurate data support for carbon management in the power system, and solving the problems of underestimating the benefits of carbon emission reduction and insufficient risk quantification.