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上海电力大学学报:2020,36(5):477-480,516
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基于延时电路的高频高压激励电缆故障测距方法
(福建水利电力职业技术学院 电力工程系)
Fault Location Method of High Frequency High Voltage Excitation Cable Based on Delay Circuit
(Department of Electric Power Engineering, Fujian College of Water Conservancy and Electric Power, Yong'an, Fujian 366000, China)
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投稿时间:2020-01-07    
中文摘要: 针对传统高频高压激励电缆故障测距方法精度不高的问题,提出了一种基于延时电路的高频高压激励电缆故障测距检测方法。首先,结合弱电网条件下的运行稳定性监测方法进行电力特征分析和参数识别;然后,采用电压输出稳定性测试方法提取电缆故障的高分辨频谱特征;在此基础上,根据输出电压和负载差异性进行延时电路控制和负载均衡调度,构建高频高压激励电缆故障特征分布的贝叶斯网络模型;最后,对故障测距参数进行估计,并判断电流故障输出的收敛性,根据负荷差异性特征实现故障测距和优化检测。仿真结果表明,该方法的检测准确性较高,测距结果分布均匀,且具有故障自适应定位检测能力。
Abstract:In view of the low accuracy of the traditional fault location method of high frequency and high voltage excitation cable,a fault location detection method of high frequency and high voltage excitation cable based on delay circuit is proposed.Firstly,combining with the operation stability monitoring method under the condition of weak current network,the power characteristic analysis and parameter identification of cable fault location are carried out,and then the high-resolution spectrum feature extraction of excitation cable fault is carried out by using the voltage output stability test method.On this basis,according to the output voltage and load difference,the delay circuit control and load balancing scheduling are carried out,and the Bayesian network model of fault feature distribution is constructed.Finally,the fault location parameters are estimated,the convergence of current fault output is judged,and the high-frequency is realized according to the load difference feature.The simulation results show that the accuracy of fault detection is high,the ability of self-adaptive location detection is improved,and the ranging results are evenly distributed.
文章编号:20205012     中图分类号:TM73    文献标志码:
基金项目:福建省三明市科技与知识产权局引导性科技项目(2018-G-30)。
引用文本:
李中胜,蒋晨达.基于延时电路的高频高压激励电缆故障测距方法[J].上海电力大学学报,2020,36(5):477-480,516.
LI Zhongsheng,JIANG Chenda.Fault Location Method of High Frequency High Voltage Excitation Cable Based on Delay Circuit[J].Journal of Shanghai University of Electric Power,2020,36(5):477-480,516.