COI code: ARGCONF05_005
Paper Language: English
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Authors Traveling Wave-Based Fault Location Method in Power Distribution NetworksMoslem Salehi - Department of Electrical Engineering, Faculty of Khorramabad, Lorestan Branch, Technical and Vocational University (TVU), Tehran, Iran
Abstract:In this paper, a new traveling wave-based fault location method is proposed for branched networks. A mathematical morphology (MM) based filter is used to analyze fault-induced transient signals and detect the arrival time of traveling waves. In the proposed algorithm, using the first surge arrival time of travelling waves at each of the travelling wave detectors (TWDs) installed in the network, a set of linear equations is constructed. By solving the equations, the probable fault occurrence points on the main line of the network are determined. Finally, proper evaluation criterions (ECs) are introduced to determine accurate faulted lateral branch or fault location on the main lines. Extensive simulation studies using EMTP and MATLAB are carried out to examine the effectiveness of the proposed method. The obtained results verify the high accuracy, noise immunity and fault impedance robustness of the proposed method.
Keywords:fault location, travelling wave, distribution network
COI code: ARGCONF05_005
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Salehi, Moslem, 2019, Traveling Wave-Based Fault Location Method in Power Distribution Networks, 5 th. National Conference on Electricity, Computer & Information Technology Engineering of IRAN, مشهد, موسسه علمي آموزشي و پژوهشي أرگ, https://www.civilica.com/Paper-ARGCONF05-ARGCONF05_005.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Salehi, Moslem, 2019)
Second and more: (Salehi, 2019)
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The University/Research Center Information:
Type: state university
Paper No.: 2879
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