基于能量比与FLS的UHVDC输电线路故障处理方法

UHVDC Transmission Line Fault Diagnosis Method Based on Energy Ratio and FLS

针对特高压直流输电(Ultra-high voltage direct current,UHVDC)线路中故障区段识别范围广且分类准确率较低的问题,提出了基于能量比优化与模糊逻辑系统(Fuzzy logic system,FLS)的UHVDC输电线路故障区段识别与分类方法。利用全电流代替低频分量优化故障信号的能量比,并将故障区段能量比变化特性用于故障特征提取。将获得的故障特征作为提出的三个FLS模块的输入,该模块分别实现交直流段的故障检测、故障区段的识别以及故障极点的识别与分类。利用Matlab平台搭建线路模型验证所提方法在故障距离、功率角、直流偏置等影响因素下的性能。试验结果表明所提方法的故障检测识别时间短且准确率高。

Aiming at the problem of wide range of fault section identification and low classification accuracy in UHVDC transmission line,a method of fault section identification and classification based on energy ratio optimization and fuzzy logic(FLS)is proposed.Firstly,the energy ratio of fault signal is optimized by using full current instead of low frequency component,and the energy ratio variation characteristic of fault region is used for fault feature extraction.Then,the fault features obtained are used as the input of the three FLS modules,which respectively realize the fault detection of AC and DC sections,the identification of fault sections and the identification and classification of fault poles.Finally,the Matlab platform is used to build a circuit model to verify the performance of the proposed method under the influence of fault distance,power angle,DC bias and other factors.The experimental results demonstrate that the proposed method has short time-consuming and high accuracy of fault detection.