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Power apparatus insulation diagnosis through partial discharge in a smarter grid

机译:通过智能电网中的局部放电诊断电力设备绝缘

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Insulation diagnosis based on partial discharge signals from power apparatus is widely accepted as a condition bases maintenance strategy in the smart power grid operation. Field applications show that the amplitude of partial discharge may or may not increase with the severity. Lab investigation was carried out to study the behavior of two major kinds of partial discharges in transformer, i.e., the surface discharge and the internal discharge. The lab tests identify the difference in the amplitude distribution of above two discharges. This characteristic can be used to infer the discharge model in field measurement. The recorded partial discharge signals show that the amplitude of the surface discharge increases with the severity of defect, but the internal discharge shows a different pattern.
机译:作为智能电网运行中基于条件的维护策略,基于电力设备局部放电信号的绝缘诊断被广泛接受。现场应用表明,局部放电的幅度可能会或可能不会随严重程度而增加。进行了实验室研究以研究变压器中两种主要的局部放电的行为,即表面放电和内部放电。实验室测试确定了以上两个放电的振幅分布的差异。该特性可用于推断现场测量中的放电模型。记录的局部放电信号表明,表面放电的幅度随缺陷的严重程度而增加,但内部放电则显示出不同的模式。

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