...
首页> 外文期刊>Sensors Journal, IEEE >An Effective Method Based on Time Reversal and Optimization Techniques for Locating Faults on Power Grids
【24h】

An Effective Method Based on Time Reversal and Optimization Techniques for Locating Faults on Power Grids

机译:基于时间反转和优化技术的有效方法,用于定位电网上的故障

获取原文
获取原文并翻译 | 示例
           

摘要

Electromagnetic time reversal (EMTR) has recently emerged as a promising technique applied for locating faults in power networks. It directly transposes the idea of focusing energy back to its source introduced in original time-reversal (TR) methods. Accordingly, we present in this paper, FasTR, a method based on the tenets of TR, that estimates the fault location by employing optimization based algorithms for fetching the highest peak amplitude with maximum coherence in space and time . However, it uses an alternative approach for executing the cumbersome TR post-processing, thanks to a simplified analytical model capable of evaluating the voltage (or current) at any position and any instant of the tested network resulting from the back-injection of the recorded time-revered signals. FasTR is shown to accurately locate a fault in a complex network with just a basic knowledge of its topology in no more than a couple tens of seconds. More importantly is its ability to locate multiple faults in non-homogeneous networks. The performance of the proposed method is validated by numerical simulations as well as an experimental setup by making reference to a reduced-scale coaxial cable network where real faults are hardware-emulated.
机译:电磁时间逆转(EMTR)最近被出现为应用于在电力网络中定位故障的有希望的技术。它直接将聚焦能量的想法转换回到其原始时间逆转(TR)方法中引入的源。因此,我们在本文中存在,FAST,一种基于TR的原因的方法,它通过采用基于优化的算法来估计故障定位,用于提取最高峰值幅度,在<斜视XMLNS:MML =“http://中www.w3.org/1998/math/mathml“xmlns:xlink =”http://www.w3.org/1999/xlink“> space time 。然而,由于能够在任何位置处的电压(或电流)的简化分析模型以及由被记录的后喷射所产生的测试网络的任何瞬间评估所述电压(或电流)的简化分析模型,它使用替代方法来执行繁琐的TR后处理。延长的信号。令人惊叹的意图可以准确地定位复杂网络的故障,只有其拓扑的基本知识,不超过几秒钟。更重要的是,它能够在非均质网络中定位多个故障。通过参考实际故障的减少的同轴电缆网络,通过数值模拟以及实验设置,通过数值模拟来验证所提出的方法的性能,其中实际故障被仿真。

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