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基于潮流追踪的用户碳排放水平计算与评估方法OACSTPCD

Calculation and Evaluation Method of User Carbon Emission Level Based on Power Flow Tracking

中文摘要英文摘要

新型电力系统用户侧泛在资源分布零散、数量多、容量小以及随机性大的特点,给用户侧精细化碳排放计算造成了困难.为了准确衡量与评估电力系统中用户碳排放水平,首先通过潮流追踪方法分析了电力系统各节点潮流的来源,确定了各节点的间接碳排放责任;然后依照比例共享原则结合不同来源的碳排放强度得到了电力系统碳流分布情况;最后通过提出的负荷侧各项电力碳排放指标,评估了不同节点的清洁程度从而引导用户更多地使用清洁能源以降低自身碳排放.并采用实际电力系统数据进行算例验证,验证了所提方法的合理性与可用性.

The characteristics of new power system user-side ubiquitous resources that are scattered in distribution,large in number,small in capacity and stochastic in nature create difficulties for user-side fine-grained carbon emission calculations.In order to accurately measure and assess the level of user carbon emissions in the power system,the sources of the power flows in each node of the power system is first analyzed through the power flow tracking method to determine the indirect carbon emission responsibility of each node.Then,the distribution of carbon flows in the power system is obtained by combining the carbon intensity of different sources according to the principle of proportional sharing.Finally,through the proposed load-side indicators of various electric power emissions,the cleanliness of different nodes is assessed so as to guide the users to use cleaner energies more often in order to reduce their own carbon emissions.And the real power system data are used for example validation to verify the rationality and usability of the proposed method.

杨晓林;陈虹;袁琪;卢陈越;马煜承;王琦

国网江苏省电力有限公司常州供电分公司,江苏常州 213003东南大学电气工程学院,江苏南京 210096

动力与电气工程

潮流追踪碳排放数据碳足迹追踪碳排放水平评估

power flow trackingcarbon emission datacarbon footprint trackingcarbon emission level assessment

《电机与控制应用》 2024 (001)

22-28 / 7

国网江苏省电力有限公司科技项目(J2022104)State Grid Jiangsu Electric Power Company(J2022104)

10.12177/emca.2023.163

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