摘要
为了对带电检测过程中发现的局部放电缺陷进行高精度定位,文中依据局部放电过程中产生声电信号的同源性,在到达时间差算法的基础上对变压器、组合电器以及高压开关柜进行声电联合定位建模,并且通过粒子群算法对定位结果的优化,降低电气设备局部放电定位精度对到达时间差时延的依懒性。试验证明:采用声电联合定位以及定位结果的粒子群优化处理,可以将背景干扰对定位精度的影响进一步降低,具有较高的检测灵活性与定位精度,可以应用于带电检测过程中电气设备内部局部放电缺陷的定位。
To achieve high precision location of partial discharge(PD)defect during live detection,the electroacousticlocation modeling is performed on the transformer,gas insulated switchgear(GIS)and high voltage switchgear based on the time difference of arrival algorithm by exploiting the homology of photoelectric signals generated in PD process.Furthermore,the dependence of PD location accuracy of electrical equipment on the TDOA delay is reduced through the particle swarm optimization(PSO)of location results.Experiment demonstrates that the electroacoustic positioning and the PSO of location results are effective in further weakening the influence of external interference on the location accuracy.with high detection flexibility and location accuracy.This technique can be applied to the positioning of PD defects inside electrical equipment during live detection.
作者
牛勃
马飞越
周秀
房子祎
马云龙
田天
徐玉华
罗艳
NIU Bo;MA Feiyue;ZHOU Xiu;FANG Ziyi;MA Yunlong;TIAN Tian;XU Yuhua;LUO Yan(Power Research Institute of State Grid Ningxia Power Co.,Yinchuan 750001,China)
出处
《高压电器》
CAS
CSCD
北大核心
2019年第8期108-115,122,共9页
High Voltage Apparatus
关键词
声电联合定位
电气设备
局部放电
带电检测
粒子群优化
到达时间差
acoustoelectric positioning
electrical equipment
partial discharge
live detection
particle swarm optimization
time difference of arrival
作者简介
牛勃(1989—),男,硕士,工程师,电气设备带电检测专责,研究方向为高压电气设备绝缘状态在线监测、带电检测与故障诊断技术。
