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Author: search.filters.author.Pothisarn, C.Subject: search.filters.subject.Transmission line

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    An experimental setup investigation to study characteristics of fault on transmission system
    (2015-01-01)
    Yindeesap, P.
    ;
    Ngaopitakkul, A.
    ;
    Pothisarn, C.
    ;
    Jettanasen, C.
    This paper proposes the experimental setup for studying the characteristics of fault caused by balance and unbalance on a transmission system. The parameters of transmission system (inductance and capacitance) are calculated based on forms of transmission tower, size of conductor, types of conductor and arrangement of transmission line and, they normalized to obtain the values in the π- equivalent circuit model at voltage level of 400 V. In addition, the ATP/EMTP is used to compare the simulated results with the experimental setup in order to show the advantage of the experimental setup. The obtained results show that the similarity between the two waveforms. The experimental setup will be useful in the development of short-circuit protection system in laboratory.
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    Identification of the fault location for three-terminal transmission lines using discrete wavelet transforms
    (2009-12-16)
    Chiradeja, P.
    ;
    Pothisarn, C.
    This paper proposes a technique to detect fault locations in a three-bus transmission system using discrete wavelet transform (DWT). The comparison among the first peak time in first scale of each terminal (buses) that can detect fault is performed and the two fastest first peak time obtained from comparison are used as an input data for traveling wave equation later. A comparison of results obtained from three different types of mother wavelet is discussed in order to identify the fault locations with an application of traveling wave theory. It is shown that the db4 mother wavelet produces better results than those from 'sym4' and 'coif4', with a mean error of less than 400 m.
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    Discrete wavelet transform and back-propagation neural networks algorithm for fault classification on transmission line
    (2009-12-16)
    Pothisarn, C.
    ;
    Ngaopitakkul, A.
    This paper proposes a technique using Discrete Wavelet Transform (DWT) and Back-Propagation Neural Network (BPNN) to identify the fault types on single circuit transmission lines. The ATP/EMTP is used to simulate fault signals. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The variations of first scale high frequency component that detect fault are used as an input for the training pattern. The result has shown that the proposed technique gives satisfactory results.