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：
引用
收藏
页码：114 / 120
相关论文
共 50 条
  • [41] Research on the community electric carbon emission prediction considering the dynamic emission coefficient of power system
    Yu, Hui
    Yang, Yang
    Li, Bin
    Liu, Bowen
    Guo, Yuanhu
    Wang, Yunqi
    Guo, Zhongfu
    Meng, Ronghua
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [42] Key Technologies and Challenges of Low-carbon Integrated Energy System Planning for Carbon Emission Peak and Carbon Neutrality
    Zhang S.
    Wang D.
    Cheng H.
    Song Y.
    Yuan K.
    Du W.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (08): : 189 - 207
  • [43] Identification of Weak Nodes Based on the Norm of Inertia Distribution of Power Grid Nodes
    Xing, Haiwen
    Sun, Ning
    Li, Yunjing
    Sun, Pengbo
    2024 6TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM, AEEES 2024, 2024, : 794 - 799
  • [44] Power System Key Lines Identification Based on Cascading Failure and Vulnerability Evaluation
    Wu Xu
    Zhang Jianhua
    Wu Linwei
    Zhu Xingyang
    2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
  • [45] Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory
    Li, Jifeng
    He, Xingtang
    Li, Weidong
    Zhang, Mingze
    Wu, Jun
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 218
  • [46] Research on power and energy balance of new power system under low carbon emission path
    Wu, Mengkai
    Shi, Jinping
    Wen, Hongjun
    Qiu, Yi
    Guo, Chuangxin
    ENERGY REPORTS, 2022, 8 : 197 - 207
  • [47] Analysis and Reflection on the Development of Power System Towards the Goal of Carbon Emission Peak and Carbon Neutrality
    Li H.
    Liu D.
    Yao D.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (18): : 6245 - 6258
  • [48] Calculation method of carbon emission flow in power system based on the theory of power flow calculation
    ChenSongsong
    Sun Beibei
    HeZiheng
    WuZhou
    PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, 2016, 32 : 443 - 450
  • [49] THE WEED KEY AND IDENTIFICATION SYSTEM
    RAGAN, LC
    INTERACTIVE MULTIMEDIA 91, 1991, : 26 - 27
  • [50] Identification of Suitable Nodes for The Placement Of Reactive Power Compensators
    Adebayo, Isaiah G.
    Jimoh, Adisa A.
    Yusuff, Adedayo A.
    2016 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2016, : 645 - 649
12345