全球能源互联网（英文）2022，Vol.5Issue(4)：362-374,13.DOI:10.1016/j.gloei.2022.08.003
适用于高比例新能源并网的输电网故障原因辨识方法
Transmission line fault-cause identification method for large-scale new energy grid connection scenarios
摘要
Abstract
The accurate fault-cause identification for overhead transmission lines supports the operation and maintenance personnel in formulating targeted maintenance strategies and shortening the time of inspecting faulty lines. With the goal of achieving "carbon peak and carbon neutrality", the schemes for clean energy generation have rapidly developed. Moreover, new energy-consuming equipment has been widely connected to the power grid, and the operating characteristics of the power system have significantly changed. Consequently, these have impacted traditional fault identification methods. Based on the time-frequency characteristics of the fault waveform, new energy-related parameters, and deep learning model, this study proposes a fault identification method suitable for scenarios where a high proportion of new energy is connected to the power grid. Ten parameters related to the causes of transmission line fault and new energy connection scenarios are selected as model characteristic parameters. Further, a fault identification model based on adaptive deep belief networks was constructed, and its effect was verified by field data.关键词
故障原因识别/输电线路/故障波形/大规模新能源Key words
Fault-cause identification/Transmission lines/Fault waveform/Large-scale new energy/Fault cause引用本文复制引用
梁涵卿,韩晓男,于昊洋,李凡,刘忠健,张柯欣..适用于高比例新能源并网的输电网故障原因辨识方法[J].全球能源互联网（英文）,2022,5(4):362-374,13.基金项目
This work was supported by State Grid Science and Technology Project(B3440821K003). （B3440821K003）
