基于多重信号分类与可控响应功率的变压器局部放电故障定位方法
Partial Discharge Fault Location Method of Transformer Based on MUSIC-SRP Algorithm
DOI: 10.12677/SG.2019.96031, PDF,   
作者: 郑理威, 王 伟, 吕泽钦, 张宇帅, 王世杰:华北电力大学高电压与电磁兼容北京市重点实验室,新能源电力系统国家重点实验室,北京
关键词: 局部放电光纤超声传感器多重信号分类可控响应功率Partial Discharge Fiber-Optic Ultrasonic Sensor Multiple Signal Classification Steered Power Response
摘要: 提出一种基于多重信号分类算法(multiple signal classification, MUSIC)和可控响应功率(steered power response, SRP)声源定位算法的变压器局部放电故障定位方法。首先利用MUSIC算法对变压器内高低压绕组匝间局部放电进行测向,测向结果考虑误差范围可有效缩小SRP算法的搜索空间。然后利用SRP算法在缩小后的搜索空间内对局部放电进行定位,SRP算法的定位精度随搜索空间的缩小有显著提高。在此基础上,应用研制的光纤超声传感器阵列,对变压器高低压绕组匝间局部放电进行的定位仿真和实验结果表明,相较于SRP算法,MUSIC-SRP算法的定位精度有极大提高,验证了该方法的有效性。
Abstract: A fault location method for partial discharge of transformer based on multiple signal classification (MUSIC) algorithm and steered power response (SRP) sound source location algorithm is proposed. First of all, MUSIC algorithm is used to measure the turn to turn partial discharge of high and low voltage windings in transformer, considering the error range, the search space of SRP algorithm can be effectively reduced. Then SRP algorithm is used to locate partial discharge in the reduced search space, and the location accuracy of SRP algorithm is significantly improved with the reduction of search space. On this basis, with the application of the fiber-optic ultrasonic sensor array, the localization simulation and experimental results of the partial discharge between turns in the high and low voltage winding of the transformer shows that the localization accuracy of MUSIC-SRP algorithm is greatly improved compared with SRP algorithm, which verifies the effectiveness of the method.
文章引用:郑理威, 王伟, 吕泽钦, 张宇帅, 王世杰. 基于多重信号分类与可控响应功率的变压器局部放电故障定位方法[J]. 智能电网, 2019, 9(6): 283-301. https://doi.org/10.12677/SG.2019.96031

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