基于平稳小波变换算法的线路故障测距  

Transmission Line Fault Location Based on Stationary Wavelet Transform

作　　者：赵晨龙 ZHAO Chen-long(State Grid Wuhan East Lake New Technology Development Zone Power Supply Company,Wuhan 430074,China)

机构地区：[1]国网武汉市东湖新技术开发区供电公司,湖北武汉430074

出　　处：《电气开关》2023年第3期79-81,86,共4页Electric Switchgear

摘　　要：为解决在线路故障识别时,其行波波头难以辨认以及存在行波波速需要消减这两个问题,本文提出了一种基于平稳小波变换算法的线路故障测距的方法。与传统意义上的小波算法相比,本文提出的算法存在以下3个优点:1.可以有效消除噪声的干扰;2.提高了对行波波头的识别率;3.增强了对奇异点的识别成功率。将上述提出的算法与测距算法相结合,使线路故障的测距结果更加准确。并经MATLAB仿真算例结果发现,本文提出的算法对故障的定位精度高,效果具有普适性。In order to solve the problems of difficult identification of the traveling wave head and the need to reduce the traveling wave speed during line fault identification,this paper proposes a method of line fault ranging based on smooth wavelet transformation algorithm.Compared with the wavelet algorithm in the traditional sense,the algorithm proposed in this paper has the following three advantages:1,it can effectively eliminate the interference of noise;2,improve the recognition rate of the traveling wave head;3,enhanced the recognition success rate of singularities.The above proposed algorithm is combined with the ranging algorithm to make the ranging result of the line fault more accurate.The results of MATLAB simulation studies show that the proposed algorithm has high accuracy in locating faults and has universal effect.

关 键 词：故障测距 平稳小波变换算法 输电线路 

分 类 号：TM72[电气工程—电力系统及自动化]