Frequent grounding fault location technology for multi-bamboo line pressing based on recursive bayesian algorithm

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Journal of Physics: Conference Series vol. 2996, no. 1 (Apr 2025), p. 012001
מחבר ראשי: Hu, Qian
מחברים אחרים: Ye, Zhijian, Zhang, Yao
יצא לאור:
IOP Publishing
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גישה מקוונת:Citation/Abstract
Full Text - PDF
תגים: הוספת תג
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MARC

LEADER 00000nab a2200000uu 4500
001 3191392076
003 UK-CbPIL
022 |a 1742-6588 
022 |a 1742-6596 
024 7 |a 10.1088/1742-6596/2996/1/012001  |2 doi 
035 |a 3191392076 
045 2 |b d20250401  |b d20250430 
100 1 |a Hu, Qian  |u State Grid Kaihua County Power Supply Company , Kaihua, Zhejiang, 324300, China 
245 1 |a Frequent grounding fault location technology for multi-bamboo line pressing based on recursive bayesian algorithm 
260 |b IOP Publishing  |c Apr 2025 
513 |a Journal Article 
520 3 |a The process of locating frequent grounding faults caused by multi-bamboo line pressing in distribution networks is easily affected by the transition resistance, leading to small differences in fault modes, which makes it difficult to distinguish multiple fault scenarios. This results in poor efficiency and accuracy in fault location. To address this issue, a frequent grounding fault location technology for multi-bamboo line pressing based on the recursive Bayesian algorithm is proposed. By utilizing the transient zero-sequence equivalent circuit of frequent grounding faults caused by line pressing, the impedance factor and energy spectrum entropy attributes of the fault transient current signal are obtained. The frequent grounding faults of multi-bamboo line pressing are classified into small-angle fault mode, weak fault mode, and strong fault mode according to the value of the fault transition resistance. Corresponding Bayesian classifiers are constructed for each mode. The recursive Bayesian classifier can accurately identify the system’s fault mode. By using a waveform identification method and comparing the difference coefficients between neighboring points of adjacent waveforms, the location of the frequent grounding fault is determined. Experimental results demonstrate that this technology achieves rapid and accurate location of frequent grounding faults, with high positioning accuracy and robustness, providing a strong guarantee for the safe operation of power systems. 
653 |a Algorithms 
653 |a Waveforms 
653 |a Faults 
653 |a Equivalent circuits 
653 |a Bayesian analysis 
653 |a Identification methods 
653 |a Fault location 
653 |a Transient current 
653 |a Energy spectra 
653 |a Pressing 
653 |a Recursive functions 
653 |a Bamboo 
700 1 |a Ye, Zhijian  |u State Grid Jiangshan Power Supply Company , Jiangshan, Zhejiang, 324100, China 
700 1 |a Zhang, Yao  |u State Grid Kaihua County Power Supply Company , Kaihua, Zhejiang, 324300, China 
773 0 |t Journal of Physics: Conference Series  |g vol. 2996, no. 1 (Apr 2025), p. 012001 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3191392076/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3191392076/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch