首页> 外文期刊>IEEE Transactions on Industrial Electronics >A Novel Leakage-Current-Based Online Insulation Monitoring Strategy for Converter Transformers Using Common-Mode and Differential-Mode Harmonics in VSC System
【24h】

A Novel Leakage-Current-Based Online Insulation Monitoring Strategy for Converter Transformers Using Common-Mode and Differential-Mode Harmonics in VSC System

机译:用于VSC系统中共模和差分模式谐波的转换器变压器的新型漏电流在线绝缘监控策略

获取原文
获取原文并翻译 | 示例
       

摘要

Online insulation monitoring techniques for power transformers have been widely studied. However, challenges rise when they are applied to the converter-connected transformers which are operated under high electrical stress conditions. This article proposes a nonintrusive leakage-current-based insulation monitoring strategy for converter transformers, using inherent characteristic harmonics in voltage source converter system. Analytic relation between common-mode and differential-mode harmonics and insulation capacitances is first presented. Then, a combined strategy is proposed based on the differential measurement of leakage current, which enables online prognosis of not only overall ageing degree but also ageing localization of the phase-to-ground insulation. Experiments are conducted on a 15-kVA transformer driven by an industrial inverter. The proposed combined strategy shows robust performance over effective characteristic frequency spectrums. Several considerations for field implementation are further discussed. The major features of the proposed strategy are as follows: 1) easy implementation and nonintrusive measurement; 2) little impact on system operation and immunity to system interferences; and 3) lower requirements of data processing.
机译:广泛研究了电力变压器的在线绝缘监控技术。然而,当它们应用于在高电应力条件下操作的转换器连接的变压器时,挑战上升。本文采用电压源转换器系统中的固有特性谐波提出了一种用于转换器变压器的非漏洞电流的绝缘监测策略。首先提出了共模和差分模式谐波和绝缘电容之间的分析关系。然后,基于漏电流的差分测量提出了一种组合的策略,这使得在线预后不仅具有总体老化程度,而且可以在线预后,但也是相对地绝缘的老化定位。实验在由工业逆变器驱动的15 kVA变压器上进行。所提出的组合策略显示出对有效特征频谱的强大性能。进一步讨论了用于现场实施的几个考虑因素。拟议策略的主要特点如下:1)轻松实现和非识别测量; 2)对系统操作和系统干扰的影响很小; 3)较低的数据处理要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号