期刊文献+

基于离散贝叶斯网络的电缆集电线线路故障定位方法

Fault location method for cable collector lines based on discrete Bayesian networks
下载PDF
导出
摘要 常规的电缆集电线线路故障定位方法以故障信号识别为主,故障区段的非平稳信号定位存在一定的失误,为解决该问题,设计了基于离散贝叶斯网络的电缆集电线线路故障定位方法。提取电缆集电线线路等效注入电流特征,对电缆支路上的电流变化特征进行分析,避免故障失误的问题。基于离散贝叶斯网络构建集电线路故障定位模型,根据发电机组的稳态电动势,定位电流故障分量的支路区段,满足故障定位需求。修正电缆集电线路故障定位误差,补偿单端阻抗测距的零序电流,得到故障相的电压与电流,从而确定故障的边界条件,保证故障定位的准确性。采用对比实验,验证了该方法的定位准确性更高,能够应用于实际生活中。 The conventional fault location method for cable collector lines mainly focuses on fault signal recognition,and there are certain errors in the non-stationary signal location of the fault section.To solve this problem,a fault location method for cable collector lines based on discrete Bayesian networks is designed.Extract the equivalent injection current characteristics of cable collector lines,analyze the current variation characteristics on cable branches,and avoid the problem of fault errors.Based on discrete Bayesian networks,a fault location model for power transmission lines is constructed.Based on the steady-state electromotive force of the generator set,the branch section of the current fault component is located to meet the fault location requirements.Correcting the fault location error of cable collector lines,compensating for the zero sequence current of single end impedance ranging,obtaining the voltage and current of the fault phase,thereby determining the boundary conditions of the fault and ensuring the accuracy of fault location.By conducting comparative experiments,it was verified that this method has higher positioning accuracy and can be applied in practical life.
作者 杨志佳 林家敏 魏东苑 吕杰 兰康明 黄煜 YANG Zhijia;LIN Jiamin;WEI Dongyuan;LV Jie;LAN Kangming;HUANG Yu(Guodian Investment Group Fujian Electric Power Investment Co.,Ltd.,Fuzhou 333000,China)
出处 《电子设计工程》 2024年第9期179-183,共5页 Electronic Design Engineering
基金 国家电投江西电力有限公司科技计划项目(GJDTJXGS-KJ-2023-015)。
关键词 离散贝叶斯网络 电缆 集电线线路故障 定位方法 discrete Bayesian networks cable collect or lines fault positioning method
  • 相关文献

参考文献10

二级参考文献84

共引文献48

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部