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  • 标题:Substation DC system grounding fault prediction method
  • 本地全文:下载
  • 作者:Guozhong Wang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:252
  • 页码:1-4
  • DOI:10.1051/e3sconf/202125201036
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:There may be disturbance and uncertainty in the collection of leakage current in DC system of substation, which leads to the decrease of accuracy and increase of prediction error. Based on this, an improved grey prediction method is proposed to predict DC system branch grounding fault. Firstly, the characteristics of DC system ground fault parameters are collected. Secondly, the improved grey prediction algorithm is used to predict and estimate whether the detection reaches the fault threshold in the future. Finally, the validity of the proposed method is verified by MATLAB modeling.
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