Identification of Weak Links in Distribution Network Based on Random Matrix Theory

Author:

Liang Shuo1,Li Xintong2,Qin Liwen1,Chen Shaonan2,Yu Xiaoyong2

Affiliation:

1. Electric Power Research Institute of Guangxi Power Grid Co., Ltd.,Big data analysis,Nanning,Guangxi

2. Electric Power Research Institute of Guangxi Power Grid Co., Ltd.,Distribution network operation analysis,Nanning,Guangxi

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation Method for Weak Links in Power Supply of New Distribution Systems;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

2. Evaluate the Use of Random Matrices and Potential Load Currents to Identify Weak Links in Distribution Networks;2022 12th Smart Grid Conference (SGC);2022-12-13

3. Component Material Prediction Model Based on Deepening Application of Power Distribution Network Infrastructure Data;2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2022-06-17

4. Correlation Analysis between Temperature and Electricity Consumption Behavior Based on Random Matrix Theory;2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2021-07-18

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