Identification of Weak Branches in Power System Based on Decision Tree

Dong Liu; Fan Li; Ke Sun; Hanqing Liang; Kexin Zhang; De Zhang; Yixing Zhang; Boyu Qin

doi:10.1109/CEEGE58447.2023.10246624

Identification of Weak Branches in Power System Based on Decision Tree

Dong Liu
, Fan Li
, Ke Sun
, Hanqing Liang
, Kexin Zhang
, De Zhang
, Yixing Zhang
, Boyu Qin

State Grid Corporation of China
Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

With the inevitable trend of grid-connected operation of a high proportion of new energy sources in new generation power system, the actual operation of power systems is highly stochastic and uncertain. Under such circumstances, traditional methods for identifying weak branches in power systems are difficult to be applied in actual operation due to the problems of calculation speed and calculation accuracy, which promote the application of data-driven methods for weak branch identification in power systems. In this paper, a decision tree based method for weak branch identification is proposed, which takes into account the algorithm interpretability, and simulations are conducted in the IEEE39 system to authenticate the effectiveness of the proposed method.

源语言	英语
主期刊名	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
页	11-15
页数	5
ISBN（电子版）	9798350312669
DOI	https://doi.org/10.1109/CEEGE58447.2023.10246624
出版状态	已出版 - 2023
已对外发布	是
活动	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023 - Grimstad, 挪威期限: 6 6月 2023 → 9 6月 2023

出版系列

姓名	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023

会议

会议	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023
国家/地区	挪威
市	Grimstad
时期	6/06/23 → 9/06/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/CEEGE58447.2023.10246624

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, D., Li, F., Sun, K., Liang, H., Zhang, K., Zhang, D., Zhang, Y., & Qin, B. (2023). Identification of Weak Branches in Power System Based on Decision Tree. 在 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023 (页码 11-15). (6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEEGE58447.2023.10246624

@inproceedings{34381732d4ee450f8a9de222b49a6456,

title = "Identification of Weak Branches in Power System Based on Decision Tree",

abstract = "With the inevitable trend of grid-connected operation of a high proportion of new energy sources in new generation power system, the actual operation of power systems is highly stochastic and uncertain. Under such circumstances, traditional methods for identifying weak branches in power systems are difficult to be applied in actual operation due to the problems of calculation speed and calculation accuracy, which promote the application of data-driven methods for weak branch identification in power systems. In this paper, a decision tree based method for weak branch identification is proposed, which takes into account the algorithm interpretability, and simulations are conducted in the IEEE39 system to authenticate the effectiveness of the proposed method.",

keywords = "Decision Tree, data driven, power system, weak branches",

author = "Dong Liu and Fan Li and Ke Sun and Hanqing Liang and Kexin Zhang and De Zhang and Yixing Zhang and Boyu Qin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023 ; Conference date: 06-06-2023 Through 09-06-2023",

year = "2023",

doi = "10.1109/CEEGE58447.2023.10246624",

language = "英语",

series = "6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "11--15",

booktitle = "6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023",

}

Liu, D, Li, F, Sun, K, Liang, H, Zhang, K, Zhang, D, Zhang, Y & Qin, B 2023, Identification of Weak Branches in Power System Based on Decision Tree. 在 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023. 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023, Institute of Electrical and Electronics Engineers Inc., 页码 11-15, 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023, Grimstad, 挪威, 6/06/23. https://doi.org/10.1109/CEEGE58447.2023.10246624

Identification of Weak Branches in Power System Based on Decision Tree. / Liu, Dong; Li, Fan; Sun, Ke 等.
6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 11-15 (6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Identification of Weak Branches in Power System Based on Decision Tree

AU - Liu, Dong

AU - Li, Fan

AU - Sun, Ke

AU - Liang, Hanqing

AU - Zhang, Kexin

AU - Zhang, De

AU - Zhang, Yixing

AU - Qin, Boyu

PY - 2023

Y1 - 2023

N2 - With the inevitable trend of grid-connected operation of a high proportion of new energy sources in new generation power system, the actual operation of power systems is highly stochastic and uncertain. Under such circumstances, traditional methods for identifying weak branches in power systems are difficult to be applied in actual operation due to the problems of calculation speed and calculation accuracy, which promote the application of data-driven methods for weak branch identification in power systems. In this paper, a decision tree based method for weak branch identification is proposed, which takes into account the algorithm interpretability, and simulations are conducted in the IEEE39 system to authenticate the effectiveness of the proposed method.

AB - With the inevitable trend of grid-connected operation of a high proportion of new energy sources in new generation power system, the actual operation of power systems is highly stochastic and uncertain. Under such circumstances, traditional methods for identifying weak branches in power systems are difficult to be applied in actual operation due to the problems of calculation speed and calculation accuracy, which promote the application of data-driven methods for weak branch identification in power systems. In this paper, a decision tree based method for weak branch identification is proposed, which takes into account the algorithm interpretability, and simulations are conducted in the IEEE39 system to authenticate the effectiveness of the proposed method.

KW - Decision Tree

KW - data driven

KW - power system

KW - weak branches

UR - https://www.scopus.com/pages/publications/85173643581

U2 - 10.1109/CEEGE58447.2023.10246624

DO - 10.1109/CEEGE58447.2023.10246624

M3 - 会议稿件

AN - SCOPUS:85173643581

T3 - 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023

SP - 11

EP - 15

BT - 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023

Y2 - 6 June 2023 through 9 June 2023

ER -

Liu D, Li F, Sun K, Liang H, Zhang K, Zhang D 等. Identification of Weak Branches in Power System Based on Decision Tree. 在 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 11-15. (6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023). doi: 10.1109/CEEGE58447.2023.10246624

Identification of Weak Branches in Power System Based on Decision Tree

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此