• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Science, Measurement & Technology, IET >Discrimination of internal fault from magnetising inrush current in power transformers based on sine-wave least-squares curve fitting method
【24h】

Discrimination of internal fault from magnetising inrush current in power transformers based on sine-wave least-squares curve fitting method

机译：基于正弦波最小二乘曲线拟合法的电力变压器励磁涌流内部故障识别

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study deals with a method for discrimination between magnetising inrush and internal fault currents in three-phase transformers based on sine-wave curve fitting. A sine wave is fitted to the normalised differential current by using the least-squares technique for each phase. The difference between the normalised differential currents and the fitted signals are calculated, which are hereafter named residual signals (RSs). Maximum range of the RSs variations is utilised for the definition of a simple criterion. Based on this criterion, the discrimination is realised within less than a half cycle of power frequency. In order to eliminate the impact of the current transformer (CT) saturation on the performance of the proposed technique, the currents are compensated by a CT saturation compensation algorithm in the first step. The proposed method is evaluated and compared with some well-known methods by a large number of simulation and experimental data. Furthermore, the proposed algorithm is evaluated in the case of a transformer, which is fed through a feeder with series capacitors. The results confirm that reliability, accuracy and speed response of the proposed technique is more than the other methods.
机译：本文研究了一种基于正弦波曲线拟合的判别三相变压器励磁涌流与内部故障电流的方法。通过对每个相位使用最小二乘法，将正弦波拟合到归一化的差分电流。计算归一化的差分电流与拟合信号之间的差，以下将其称为残差信号（RSs）。 RS变化的最大范围用于简单标准的定义。基于此标准，可在不到电源频率的半个周期内实现识别。为了消除电流互感器（CT）饱和度对所提出技术的性能的影响，第一步需要使用CT饱和度补偿算法来补偿电流。通过大量的仿真和实验数据对所提出的方法进行了评估，并与一些著名的方法进行了比较。此外，在变压器的情况下评估了所提出的算法，该变压器通过带有串联电容器的馈线馈电。结果表明，该技术的可靠性，准确性和速度响应性均优于其他方法。

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