基于多载波反射法的实时智能电网故障检测与定位电力电缆网络拓扑重构

W. B. Hassen, M. Kafal, E. Cabanillas, J. Benoit
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引用次数: 6

摘要

对于未知网络的拓扑重构,已经提出了几种方法并应用于该方法。虽然已经取得了令人鼓舞的结果,但离线被动测试只能进行。另一方面,在电网和发电厂等关键系统中嵌入的各种布线网络不能轻易关闭以进行测试。因此,我们将在本文中提出一种在线实时模式下诊断模糊网络的方法,即正交多音时域反射法(OMTDR)。优化技术即遗传算法将与OMTDR方法相结合,以揭示黑盒测试网络的拓扑结构。实际生活中的实验设置致力于验证所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Cable Network Topology Reconstruction Using Multi-carrier Reflectometry for Fault Detection and Location in Live Smart Grids
Several approaches have been proposed and applied for reconstructing the topology of an unknown network. Although, promising results have been obtained, offline passive testing was only accessible. On the other hand, a wide range of wiring networks embedded in critical systems as power grids and power-plants can not be easily shutdown for testing purposes. Accordingly, we will propose in this paper an approach for diagnosing obscured networks in an on-line live mode, thanks to the Orthogonal Multi-tone Time Domain Reflectometry (OMTDR). Optimization techniques namely the genetic algorithm will be integrated with the OMTDR method to enable revealing the topology of the black-boxed tested network. Practical real-life experimental setups are dedicated to validate the proposed approach.
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