Tiengthong, Thanadol

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Tiengthong, Thanadol
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thanadol.ti@kmitl.ac.th

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    Item type:Publication,
    Evaluation of partial discharge localization in power transformer with weighted centroid method
    (2019-07-01)
    Tiengthong, Thanadol
    ;
    Sanguanpuak, Chanidaphar
    ;
    Southisombat, Khamphoui
    ;
    Promwong, Sathaporn
    Partial discharge localization in power transformer is very important. A suitable evaluation method is one of the most critical part in order to find the exactly location of partial discharge. In this paper, an ultra-high frequency partial discharge localization is introduced. Weighted centroid method is one of a suitable method to evaluate the localization in partial discharge localization as well as other wireless localization system. There are many limitation of place to install the antenna in power transformer. The proper antenna placing is very important issue because improper location will affect the accuracy of partial discharge localization. The experiment of partial discharge measurement is carried out on a power transformer model from tesla power company. The purposed method used weighted centroid with received signal strength to evaluation the partial discharge in power transformer. The results show average value of received signal strength at each measurement position and the distance error of partial discharge location with weighted centroid method. The benefits of this method is useful to evaluate the partial discharge in power transformer.
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    Partial Discharge Localization Model in Power Transformer with Fingerprinting Technique
    (2023-01-01)
    Chaisang, Aditep
    ;
    Tiengthong, Thanadol
    ;
    Maw, Myo Myint
    ;
    Promwong, Sathaporn
    Partial discharge localization in power transformers is of utmost importance, requiring an effective evaluation method to identify the location of such events precisely. Antenna placement poses challenges within power transformers, as improper positioning can significantly affect localization precision. This paper introduces an evaluation of the fingerprinting method for ultra-high frequency partial discharge localization. The fingerprinting method, commonly employed in wireless localization systems, is utilized to assess the accuracy of partial discharge localization. The proposed method leverages fingerprinting analysis and received signal strength to evaluate partial discharge events in power transformers. Experimental partial discharge measurements are conducted on a power transformer model provided by Tesla Power Company. The results include the average received signal strength at each measurement position and the distance error of the partial discharge location determined using the fingerprinting method. This research contributes to assessing partial discharge in power transformers, offering valuable insights for enhancing their health and performance evaluation.