暂态信号特征提取算法的中压配电网障诊断与定位技术研究  

Study on Transient Signal Feature Extraction Algorithm for Fault Diagnosis and Location of Medium Voltage Distribution Network

作　　者：于鹏 于海洋 禹加 Yu Peng;Yu Haiyang;Yu Jia(State Grid Liaoning Electric Power Co.,Ltd.,Shengyang 110006,China)

机构地区：[1]国网辽宁省电力有限公司,沈阳110006

出　　处：《科技通报》2019年第12期114-116,120,共4页Bulletin of Science and Technology

摘　　要：传统的基于工频量的阻抗算法会因为互感以及其它设备的误差使得算法的精度受到一定的影响,使得算法不能在实际的应用达到应有的预期。为了提高算法了精度,本文提出一种基于近似熵的暂态信号特征提取方案,应用在中压配电网障诊断与定位领域。暂态零模电流信号的测量是使用FTU以及其它的检测设备来实现的,得到相应的数据后计算出近似熵值,再求得相邻区段近似熵的比值,最终选得比值最小的区段来定位系统故障区域。仿真实验结果表明,本文提出的基于近似熵的暂态信号特征提取方案应用在中压配电网障诊断与定位领域取得了良好的效果。Traditional impedance algorithms based on power frequency will be affected to some extent due to mutual inductance and other equipment errors,so that the algorithm can not reach the expected in practical application.In order to improve the accuracy of the algorithm,this paper proposes a transient signal feature extraction scheme based on approximate entropy,which is applied in the field of fault diagnosis and location of medium voltage distribution network.The measurement of transient zero-mode current signal is realized by using FTU and other detection devices.After obtaining the corresponding data,the approximate entropy value is calculated,and then the approximate entropy ratio of adjacent sections is obtained.Finally,the section with the smallest ratio is selected to locate the system fault area.Simulation results show that the proposed scheme based on approximate entropy is effective in the diagnosis and location of medium voltage distribution network barriers.

关 键 词：暂态信号 特征提取 中压配电网障 定位技术 

分 类 号：TM407[电气工程—电器]