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Underground Cable Fault Location via Random Forest Algorithm

机译:基于随机森林算法的地下电缆故障定位

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In recent years, Metropolitan Electricity Authority (MEA) has increasingly replaced the overhead lines with underground cables in Bangkok Metropolitan Area. This is to improve the efficiency and reliability of the distribution system, and also the esthetic quality of the landscape. However, the processes of locating and repairing underground cable faults are generally more difficult and time-consuming than those for overhead lines. This article proposed the use of Random Forest algorithm to locate faults for medium voltage underground cables. When tested on the MEA's open-loop underground cable system, this algorithm was capable of finding the fault locations with high accuracy, and can serve system operators and crew staff as a guideline for an efficient system service restoration.
机译:近年来,大都会电力局(MEA)越来越多地用曼谷大都会区的地下电缆代替架空线。这是为了提高配电系统的效率和可靠性,以及景观的美学质量。但是,与架空线相比,定位和修复地下电缆故障的过程通常更加困难且耗时。本文提出使用随机森林算法来定位中压地下电缆的故障。在MEA的开环地下电缆系统上进行测试时,该算法能够以较高的精度查找故障位置,并且可以为系统操作员和机组人员提供有效的系统服务恢复指导。

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