Steady State versus Transient Signal for Fault Location in Transmission Lines

• Published in: Journal of physics. Conference series Vol. 1019; no. 1; pp. 12043 - 12052
• Main Authors: Hashim, M.N., Osman, M.K., Ibrahim, M.N., Abidin, A.F.
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2018
• Subjects: Artificial neural networks; Fault location; Feature extraction; Physics; Steady state; Transmission lines
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1019/1/012043

This paper focuses on determination of suitable time interval of features extraction either during steady state signal or transient signal of impedance based method to estimate the location of fault using Artificial Neural Network (ANN). Simulation studies have been carried on power system model using MATLAB & SIMULINK. The faulted current signal taken at single-ended of transmission lines are used as input in the proposed scheme. Different types of faults at different operating condition have been considered to this study. This studies extracted five features that are delta minimum to maximum, amplitude, standard deviation, energy and mean of the signal for both condition. The proposed studies is evaluated by Mean Square error (MSE) from ANN. Most researchers using steady state signal as their input and there also have researchers used transient signal as the input but there have no study or reason for choosing the signal at that condition. However, by carrying out this studies, it shows that not all features are suitable to extract during one time signal condition.