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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于DBSCAN与二叉决策树算法的短路故障定位方法研究
  • Title

    Research on short-circuit fault localization method based on DBSCANand binary decision tree algorithm

  • 作者

    陈雨娟顾涛

  • Author

    CHEN Yujuan;GU Tao

  • 单位

    华北科技学院安全工程学院华北科技学院计算机学院

  • Organization
    School of Safety Engineering,North China Institute of Science and Technology
    School of Computing,North China Institute of Science and Technology
  • 摘要

    随着人工智能技术在配电网中不断扩大,配电网故障判断的速度和准确率得到了显著提升。然而,当监测系统发生多起短路故障报警时,往往会伴随大量的衍生短路故障的报警,影响现场人员对真实短路位置的判断。为了提高配电网在线监测及诊断能力,同时过滤掉衍生报警,本研究提出了一种基于DBSCAN和二叉决策树算法的短路故障定位推理机。以时间为密度对线路报警信息进行聚类,并根据配电网线路的拓扑结构设计相应的推理树,以此开发出故障定位推理机,最终实现对配电网短路故障的快速诊断定位,准确率可达97%以上。

  • Abstract

    With the continuous expansion of artificial intelligence technology in the distribution network, the speed and accuracy of fault diagnosis in the distribution network have been significantly improved. However, when multiple short circuit fault alarms occur in the monitoring system, it often accompanies a large number of derivative short-circuit fault alarms, affecting field personnel's judgment on the real location of short circuits. To improve the online monitoring and diagnostic capabilities of the distribution network while filtering out derivative alarms, this study proposes a short-circuit fault location inference machine based on DBSCAN and binary decision tree algorithm. Cluster the alarm information of power lines based on time density, and design corresponding inference trees according to the topology structure of power distribution network lines. Based on this, develop a fault localization inference machine, and ultimately achieve rapid diagnosis and localization of short circuit faults in power distribution networks, with an accuracy rate of over 97%.

  • 关键词

    机器学习DBSCAN算法二叉决策树配电网故障诊断

  • KeyWords

    machine learning;DBSCAN algorithm;binary decision tree;distribution network;fault diagnosis

  • 基金项目(Foundation)
    中央高校基本科研业务费资助项目(3142015024);河北省物联网监控工程技术研究中心基金项目(3142016020)
  • DOI
  • 引用格式
    陈雨娟,顾涛.基于DBSCAN与二叉决策树算法的短路故障定位方法研究[J].华北科技学院学报,2024,21(3):42-49
  • Citation
    CHEN Yujuan, GU Tao. Research on short circuit fault location method based on DBSCAN and binary decision tree algorithm[J]. Journal of North China Institute of Science and Technology, 2024,21(3):42-49
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