JOURNAL ARTICLE

Fault Location on Transmission line using Wavelet Transform and Artificial Neural Network

Amit Mahendra PaikraoAbhijit Pande

Year: 2016 Journal:   IOSR Journal of Electrical and Electronics Engineering Vol: 11 (04)Pages: 59-62

Abstract

Finding and designing new methods for determining type and exact location of faults in power system has been a major subject for power system protection.One of the main capabilities that can improve the efficiency of new protection relays in power systems is fault location.In this paper wavelet transform along with neural networks is used for determiningfault location in Transmission lines.In the present work, theauthors have developed an algorithm for locating eleven types offaults over a 100% of line length.The extraction of features of voltage signals and current signals by wavelet transform and subjecting it to artificial neural network, the fault location is calculated.Thealgorithm has been developed keeping in view the pragmaticshurdle of the multiple estimation which have been successfullytackled.

Keywords:
Computer science Artificial neural network Fault (geology) Transmission line Wavelet transform Wavelet Line (geometry) Artificial intelligence Real-time computing Pattern recognition (psychology) Telecommunications Seismology Geology Mathematics

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3
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FWCI (Field Weighted Citation Impact)
2
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0.35
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Citation History

Topics

Power Systems Fault Detection
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