基于UHF信号特征参数指纹图谱的局部放电定位方法

为了减少基于时延的局部放电定位方法设备硬件要求高且推广难度大的问题,提出了一种基于特高频信号特征参数指纹图谱的局部放电定位方法。该方法主要分为离线阶段和在线阶段。离线阶段针对测试空间设计测试方案,并进行数据预处理和特征参数提取,最终建立特征参数指纹图谱。在线阶段将遗传算法和最小二乘支持向量机算法结合,可以实现局部放电源的准确快速定位。通过模拟试验对提出的定位方法进行测试,平均定位误差为0.237 m,92%的定位误差小于1 m,20次定位结果方差为0.226。试验结果表明,所提定位方法具有较好的准确性和稳定性。

A partial discharge localization method based on fingerprint spectrum of UHF signal feature parameter

In order to solve that Partial Discharge (PD) localization method based on time delay requires high level device hardware and is hard to promote, a PD localization method based on fingerprint spectrum of Ultra-High Frequency (UHF) signal feature parameter is proposed. This method includes off-line stage and on-line stage. In the stage of off-line, the test scheme aimed at test space is designed, the feature parameter fingerprint spectrum is established finally after data pre-processing and feature parameter extraction. In the stage of on-line, the genetic algorithm and least squares-support vector machine are combined for realizing the fast and accurate PD localization. The proposed localization method is tested through simulation test, the average localization error is 0.237 m, 92% localization errors are less than 1 m, and the variance of localization results for 20 times is 0.226. The test results show that the proposed localization method is of accuracy and stability. This work is supported by National Natural Science Foundation of China (No. 51877126) and Science and Technology Project of State Grid Shandong Electric Power Company (No. 2018A-058).