Critical Branch Identification Based on Copeland Scoring Method in Typhoon Scenarios

This paper proposes an identification method for critical branches in resilient distribution network systems in typhoon scenarios based on Copeland scoring method. First, a distribution network fault model is introduced to simulate the performance of the branches under certain typhoon scenarios. Under such conditions, mixed-integer linear program-ming(MILP) model considering the dynamic interconnection technology of microgrids is established to obtain the optimal power supply solution. Subsequently, a critical branch scoring method for distribution networks based on Copeland scoring method is proposed. The proposed method is applied to the IEEE123 test system, and the effectiveness of the proposed method is verified by comparing it with the N-1 importance evaluation method. The results show that the proposed method can effectively improve the resilience of distribution networks

Authors

Institutions

Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/pssgt64932.2025.11033924
Citations
1
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Critical Branch Identification Based on Copeland Scoring Method in Typhoon Scenarios

Jingbo Shan, Yuxiong Huang, Zejin Li, Zhiran Wang et al.
1 citations
Computational Physics and Python Applications
2.48
article

Critical Branch Identification Based on Copeland Scoring Method in Typhoon Scenarios

Jingbo Shan, Yuxiong Huang, Zejin Li, Zhiran Wang, Gengfeng Li, Jiayi He, Yueqian Zhang, عوض بن سالم بن حمدان الناصري
article en
1 citations

Abstract

This paper proposes an identification method for critical branches in resilient distribution network systems in typhoon scenarios based on Copeland scoring method. First, a distribution network fault model is introduced to simulate the performance of the branches under certain typhoon scenarios. Under such conditions, mixed-integer linear program-ming(MILP) model considering the dynamic interconnection technology of microgrids is established to obtain the optimal power supply solution. Subsequently, a critical branch scoring method for distribution networks based on Copeland scoring method is proposed. The proposed method is applied to the IEEE123 test system, and the effectiveness of the proposed method is verified by comparing it with the N-1 importance evaluation method. The results show that the proposed method can effectively improve the resilience of distribution networks

Xi'an Jiaotong University (CN)
Climate action
Openalex Percentile: Top 10%
Computational Physics and Python Applications
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.