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基于注入扰动电流响应特征的主动式故障性质判别方法

王晓卫 岳阳 张帆 王毅钊 张志华

电力系统保护与控制2025,Vol.53Issue(8):34-44,11.
电力系统保护与控制2025,Vol.53Issue(8):34-44,11.DOI:10.19783/j.cnki.pspc.240927

基于注入扰动电流响应特征的主动式故障性质判别方法

Active fault property discrimination method based on injected disturbance current response characteristics

王晓卫 1岳阳 1张帆 1王毅钊 2张志华2

作者信息

  • 1. 西安理工大学电气工程学院,陕西 西安 710054
  • 2. 国网陕西省电力公司电力科学研究院,陕西 西安 710199
  • 折叠

摘要

Abstract

This paper proposes a method for reliably identifying fault nature by injecting disturbance current signals using an external power source,to address the issues of blind reclosing after inter-phase short circuits in distribution networks,which may lead to secondary impact on the system,and the lack of available effective information in adaptive reclosing after protection tripping.After a short circuit fault occurrence,an external power supply injects a low-frequency disturbance current and steady-state disturbance voltage waveform data are extracted.If it is a temporary fault,the inter-line relationship conforms to a capacitive model.If it is a permanent fault,the fault phases exhibit a transition resistance,deviating from the capacitance model.Therefore,the response characteristics of the injected disturbance signal differ significantly between different fault types,thus forming the identification criterion using the difference.This paper introduces a fault property identification criterion based on the Manhattan distance algorithm and the energy relative entropy algorithm.Additionally,an auxiliary criterion is established to further differentiate between permanent faults and cases where faults disappear during signal injection.This approach overcomes the limitations of active fault identification methods in handling fault randomness.PSCAD/EMTDC simulation results show the proposed method has high sensitivity and reliability.

关键词

配电网/注入法/能量相对熵/重合闸/相间故障

Key words

distribution network/injection method/energy relative entropy/reclosing/inter-phase fault

引用本文复制引用

王晓卫,岳阳,张帆,王毅钊,张志华..基于注入扰动电流响应特征的主动式故障性质判别方法[J].电力系统保护与控制,2025,53(8):34-44,11.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52177114 and No.61403127). 国家自然科学基金项目资助(52177114,61403127) (No.52177114 and No.61403127)

国网陕西省电力有限公司科技项目资助(5226KY23001U) (5226KY23001U)

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