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GIS局部放电声信号仿真分析及故障定位系统设计

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针对气体绝缘全封闭组合电器(GIS)内部绝缘放电故障定位难题,基于独立声检测传感技术,提出GIS局部放电准确监测方案.对GIS内部放电声信号传播机理进行了仿真分析,结合压电薄膜材料和声检测传感技术设计了一种高灵敏度声学传感器;搭建GIS局部放电的两种典型绝缘缺陷模型并进行测试.结果表明,在低频1~20 kHz范围内,放电部位与其相邻气室相比,声压相对值的差值远大于超声范围内的差值,为声检测GIS内部放电提供了理论依据.GIS缺陷放电条件下的声信号主要集中在5~20 kHz频段,且相较于相邻气室,放电气室声强明显增大,可通过比较各气室声强大小确定放电故障位置,实现快速准确的定位GIS放电位置.
Simulation Analysis and Fault Location System Design of PARTIAL Discharge Sound Signal in GIS
Aiming at the difficulty of locating the internal insulation discharge fault of gas-insulated fully enclosed combined electrical apparatus(Gas Insulated Sanstation,GIS),this paper aims to realize the accurate monitoring of partial discharge in GIS based on the idea of independent acoustic detection and sensing.Firstly,the transmission mechanism of GIS internal discharge acoustic signal is simulated and analyzed,and a high-sensitivity acoustic sensor is designed based on piezoelectric film material acoustic detection and sensing technology.Secondly,two typical insulation defect models of GIS partial discharge are set up to verify the feasibility and practicability of the device.The results show that in the low frequency range of 1-20 kHz,the difference of relative sound pressure between the discharge location and its adjacent gas chamber is much larger than that in the ultrasonic range,which provides a theoretical basis for detecting GIS internal discharge based on sound.The frequency band of the sound signal under GIS defect discharge is mainly concentrated in 5-20 kHz,and the sound intensity of the discharge chamber is significantly increased compared with that of the adjacent gas chamber.The fault location of the discharge can be determined by comparing the sound intensity of each gas chamber,and finally the GIS discharge location can be quickly and accurately located.

gas insulated switchgeardischarge faultpiezoelectric thin film sensorfault location

张晓鹏、朱苛娄、武琼、赵辉、陈浩敏、梁锦照

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国网大同供电公司,山西大同 037008

平高集团有限公司,河南平顶山 467001

南方电网数字电网研究院有限公司,广州 510700

气体绝缘开关 放电故障 压电薄膜传感器 故障定位

南方电网公司科技项目

GZHKJXM20200002

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(10)