IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Underground Low Voltage Distribution Networks: Automatic Fault Location

Main Article Content

KULDEEP GODIYAL, DR. ABHILASH SINGH, MR. VINEET JOSHI

Abstract

TDR recorded signals are substantially more sophisticated than high- and medium-voltage subterranean cables or overhead transmission lines because of the numerous tees. The method created in is based on TDR, however it utilises impulse current to locate cable defects rather than impulse voltage, and it needs experienced engineers to understand the waveforms. This article offers a method for automatically finding faults in underground low voltage distribution networks that are still present today (ULVDNs). It makes advantage of Time Domain Reflectometry (TDR) device signals that are already in existence. In order to identify flaws, it analyses TDR signals using adaptive filtering, and eliminates reflections generated on by single-phase tee-offs. In order to detect three - phase power open or short circuit faults and reduce reflections generated on by single-phase tee-offs, it also pre-processes TDR signals. The method fundamentally lowers the level of interpretation expertise needed by a TDR-based fault locating device user. Real-world data is used to show the system's relative performance.

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