Research on the Calculation Method for Carbon Emission Responsibility in Power System Based on Carbon Flow Theory and Fairness Principle

In order to accurately calculate the carbon liability of load nodes in new-type power system and promote the continuous development of low-carbon power, in this paper, the carbon potential and carbon liability of load nodes was firstly estimated based on carbon emission stream theory. Secondly, the...

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Bibliographic Details
Published in:	2023 International Conference on Neuromorphic Computing (ICNC) pp. 491 - 497
Main Authors:	Zhou, Xianfu, Lu, Feng, Wu, Zanjue, Chen, Kai, Xiang, Lei, Zheng, Songsong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15-12-2023
Subjects:	Carbon dioxide carbon emission responsibility carbon flow theory carbon potential comprehensive load method Economic indicators Electric potential Electricity fairness interval Neuromorphic engineering new-type power system Power industry Power systems
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Summary:	In order to accurately calculate the carbon liability of load nodes in new-type power system and promote the continuous development of low-carbon power, in this paper, the carbon potential and carbon liability of load nodes was firstly estimated based on carbon emission stream theory. Secondly, the initial carbon potential of the load nodes was modified through using the Comprehensive Load (CL) method, which comprehensively considers the electricity consumption characteristics of load nodes. Next, the fairness interval of carbon reduction responsibility reflecting long-term electricity consumption characteristics of the region was established by considering long-term electricity demand variation of the load nodes. Finally, the satisfaction degree of each load node with the calculation results of carbon emission responsibility was accurately evaluated accordingly, which pointed out the direction for low-carbon transition strategy generation and demand-side response capacity construction of the power system. The application results in the 14-node system demonstrated that, compared with calculated carbon emission responsibility results based on initial carbon potential, the estimated results of the load nodes considering customer's electricity consumption characteristics are both reasonable and accurate, which provide the data support for clean and lowcarbon development of the power industry, with broad application prospects.
DOI:	10.1109/ICNC59488.2023.10462867