基于粒子群算法的开关柜局部放电源定位研究

Xiaokang Wang, Bo Niu, B. Hu, Haichuan Jin, Zhiyong Wu, Dongfang Wang
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引用次数: 2

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,本文利用放电过程中产生的光电信号的同一性,基于到达时差算法对空气绝缘开关柜进行了电声定位建模。此外,通过对定位结果的粒子群优化,降低了电气设备PD在TDOA时延下的定位精度。超声波结合电磁波类型和定位结果的粒子群优化,可以进一步降低背景干扰对定位精度的影响,具有更高的检测灵活性和定位精度。该技术可用于带电检测中空气绝缘局部放电缺陷的定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Partial Discharge Source Positioning in Switchgear Based on PSO
To achieve the high precision location of partial discharge defects found during the live detection, the electroacoustic location modelling is performed on the air-insulation switchgear in this paper based on the time difference of arrival algorithm by exploiting the homology of photoelectric signals generated in the PD process. Furthermore, the PD location accuracy of electrical equipment on the TDOA delay is reduced through the particle swarm optimization of location results. With the combination of ultrasonic associated with electromagnetic wave type and particle swarm optimization of localization results, the influence of background interference on localization accuracy can be further reduced, which has higher detection flexibility and localization accuracy. The technique can be applied to localization of partial discharge defects in air-insulation during live detection.
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