Research on Carbon Traceability of Power System Based on Blockchain and Power Flow Calculation under Carbon Peaking and Carbon Neutrality Goals

Heyang Sun, Chao Yang, Tong Li, Jinliang Song, Zhenjiang Lei, Yingli Zhang, Yang Liu, Yihan Hou
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Abstract

Against the background of increasing energy problems and climate change problems, the proposal of “carbon peaking and carbon neutrality” has accelerated the development of energy conservation, emission reduction and green low carbon. In order to realize the low-carbon development of China’s important energy sector-electric power industry, it is particularly important to carry out carbon traceability. Firstly, this paper constructs the equivalent architecture of blockchain and power system carbon traceability. Secondly, the carbon emission value is predicted by combining tracing results with graph neural network. This provides data support for the industrial structure adjustment and transformation of the power industry.
基于区块链的电力系统碳可追溯性及碳调峰和碳中和目标下潮流计算研究
在能源问题和气候变化问题日益突出的背景下,“碳调峰和碳中和”的提出加速了节能减排和绿色低碳的发展。为了实现中国重要的能源部门——电力行业的低碳发展,开展碳溯源就显得尤为重要。首先,构建了区块链与电力系统碳溯源的等效体系结构。其次,将追踪结果与图神经网络相结合,对碳排放值进行预测;为电力行业的产业结构调整和转型提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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