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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-15
Number of pages	5
ISBN (Electronic)	9798350312669
DOIs	https://doi.org/10.1109/CEEGE58447.2023.10246624
State	Published - 2023
Externally published	Yes
Event	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023 - Grimstad, Norway Duration: 6 Jun 2023 → 9 Jun 2023

Publication series

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

Conference

Conference	6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023
Country/Territory	Norway
City	Grimstad
Period	6/06/23 → 9/06/23

Keywords

Decision Tree
data driven
power system
weak branches

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CEEGE58447.2023.10246624

Cite this

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. In 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023 (pp. 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. in 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., pp. 11-15, 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023, Grimstad, Norway, 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 et al.
6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 11-15 (6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 et al. Identification of Weak Branches in Power System Based on Decision Tree. In 6th International Conference on Electrical Engineering and Green Energy, CEEGE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 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

Abstract

Publication series

Conference

Keywords

UN SDGs

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