Identification of key carbon emission nodes in power system

被引：0
|
作者：
Wang, Guo [1 ]
Li, Lanjin [1 ]
Min, Yongzhi [1 ]
Su, Pengfei [1 ]
He, Qingsu [2 ]
机构：
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou,730070, China
[2] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing,100876, China
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 09期
关键词：
In order to improve the identification accuracy of key carbon emission nodes in the power system; the indicators of node carbon potential; carbon flow rate flux; load carbon flow rate and unit injection carbon flow rate are selected from the carbon emission flow analysis method; and the indicators of improved degree; improved balance degree; improved betweenness and improved clustering coefficient are proposed based on complex network theory and node carbon emission characteristic. The entropy weight-technique for order preference by similarity to an ideal solution is used to comprehensively evaluate the importance of carbon emission of different nodes; on this basis; a two-stage identification model of power system is established for identifying the high carbon nodes. The model of first stage identifies key carbon emission load nodes; while the model of second stage identifies key carbon emission power source nodes; finally a simplified topology structure of power system containing key carbon emission load nodes and power nodes is obtained. The simulative results of IEEE 118-bus system and an actual power grid in a certain region verify that the proposed method can effectively select high carbon nodes in the power system. © 2024 Electric Power Automation Equipment Press. All rights reserved;
D O I：
10.16081/j.epae.202403014
中图分类号：
学科分类号：
摘要：
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页码：114 / 120
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