Line Selection Scheme Research Based on Fault Historical Data and BP Neural Network
|更新时间:2025-04-27
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Line Selection Scheme Research Based on Fault Historical Data and BP Neural Network
Vol. 40, Issue 2, Pages: 16-18+43(2021)
作者机构:
国网天津市电力公司城西供电分公司
作者简介:
基金信息:
DOI:
CLC:TM862;TP183
Published:2021
稿件说明:
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ZHANG Yuze, TONG Xinyu, CHEN Shangyue, et al. Line Selection Scheme Research Based on Fault Historical Data and BP Neural Network[J]. 2021, 40(2): 16-18+43.
DOI:
ZHANG Yuze, TONG Xinyu, CHEN Shangyue, et al. Line Selection Scheme Research Based on Fault Historical Data and BP Neural Network[J]. 2021, 40(2): 16-18+43.DOI:
Line Selection Scheme Research Based on Fault Historical Data and BP Neural Network
Because there are still a lot of substation without grounding line selection device in China
and the on-duty controller fails to stop manually when the single-phase grounding fault occurs in the power grid
the paper analyzes the characteristics of single-phase ground fault in the small current grounding system
and proposes a method to generate the grounding selection scheme based on fault history data and BP neural network.The single phase connection of the distribution line in the substation by BP neural network is trained by historical data of ground fault.When single-phase ground fault occurs again in the substation
BP neural network is used to give the route test stop scheme