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13 May 2024 Research on carbon flow tracking method for distributed energy stations based on power grid trends
Zhenlan Dou, Sen Zhang, Chunyan Zhang, Siming Wei, Xiuneng Xu, Yan Li, Yang Liu
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Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590C (2024) https://doi.org/10.1117/12.3024604
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
In the context of "carbon neutrality" and "carbon peaking", the accuracy of carbon emission control for distributed energy stations is becoming increasingly high, and it is urgent to propose a carbon flow tracking method for distributed energy stations. On the basis of power system power flow theory, this article proposes a calculation method for carbon flow on load nodes and connecting branches based on the relationship between system power flow and carbon flow. The correctness of this method is verified by an IEEE 14 node example. The results indicate that this method can clearly identify branches with high carbon flow rates and areas with high carbon emissions, and provide reasonable emission reduction planning plans.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zhenlan Dou, Sen Zhang, Chunyan Zhang, Siming Wei, Xiuneng Xu, Yan Li, and Yang Liu "Research on carbon flow tracking method for distributed energy stations based on power grid trends", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590C (13 May 2024); https://doi.org/10.1117/12.3024604
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KEYWORDS
Carbon
Matrices
Power grids
Energy efficiency
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