Research on Microgrid Line Protection Based on Dilated Convolutional Networks

Qiyue Huang, Yapeng Wang, Sio Kei Im

研究成果: Conference contribution同行評審

摘要

With the continuous popularization of information technology in the power system, it is possible to propose protection schemes for smart microgrids. Taking typical line protection as an example, a deep learning protection method based on hollow convolution is proposed to ensure the feasibility of intelligent protection schemes. Firstly, the local position and remote current and voltage signals of the protection device are collected through network optical fibers, and then the data is standardized and processed. Then, through the hollow convolutional network module, signal features are extracted to complete data analysis and type judgment. Finally, real-time intelligent protection of the line is completed. Using PSCAD simulation software, the modeling of typical substation transmission line intervals was completed, and the effectiveness and accuracy of the proposed scheme were verified. Good discrimination results can be achieved under high sampling errors and data loss, with good fault tolerance performance.

原文English
主出版物標題2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面886-890
頁數5
ISBN(電子)9798350313857
DOIs
出版狀態Published - 2023
事件3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 - Dali, China
持續時間: 28 7月 202330 7月 2023

出版系列

名字2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

Conference

Conference3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
國家/地區China
城市Dali
期間28/07/2330/07/23

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