A novel identification of high neutral to earth voltage (NTEV) faults on power distribution systems
Özet
High Neutral to Earth Voltage (NTEV) could lead to various problems ranging from the frequent tripping, electronic card burning, neutral overheating, and electromagnetic interference. In order to solve the corresponding problems, the sources of high NTEV shall be classified so that the troubleshooting efforts can be minimized. The accurate classification technique of high NTEV sources is very crucial to accommodate such purpose. Hence, the objective of the study is to develop the classification technique of high NTEV at the electrical distribution systems. The S-Transform and Statistical Analysis are proposed in order to extract information from the corresponding features, where their features are tested on the different types of classifier tools. In general, the reliable tools for classifying NTEV sources have been successfully developed as all the classifiers have managed to perform accurately. The result shows that the SVM outperformed the other techniques in classifying the NTEV, where it produces the highest accuracy as compared to the other classifier techniques. © 2018 Praise Worthy Prize S.r.l.- All rights reserved.
