Transmission Line Fault Detection by Using Machine Learning Algorithms
Keywords:
Transmission lines, Fault detection, MATLAB-Simulink, Machine learning algorithm.Abstract
we cannot image the world without electricity; it is playing a major role in the daily life of the human. The world development is completely depending on electricity. Such electrical network facing the several issues of electrical faults. So detecting faults and rectifying is crucial task in power system of electrical network. In this study machine learning algorithms are proposed to detect the fault in the transmission lines. I used a MATLAB Simulink transmission line model to develop a data set which contain electrical source and electrical lads with a single 3-phase transmission line of 25km it replaces the performance of real transmission line. The data set can be used to train and test the proposed machine algorithms (Linear Regression, Support Vector Classifier, Decision Tree, K-Nearest Neighbor) among all these the K-Nearest Neighbor (KNN) algorithms shows well accuracy and good performance.
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