Volume 15, Issue 1 (March 2019)                   IJEEE 2019, 15(1): 151-160 | Back to browse issues page


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Khodsuz M, Seyyedbarzegar S. Surge Arrester Monitoring under Different Operating Conditions Using Bees-ANFIS. IJEEE 2019; 15 (1) :151-160
URL: http://ijeee.iust.ac.ir/article-1-1231-en.html
Abstract:   (3232 Views)
The essential role of surge arresters is equipment protection against over-voltages to increase system reliability. Different monitoring techniques have been used to diagnose surge arrester condition. Leakage current analysis methods by the extraction resistive and capacitive components of leakage current are a conventional method for surge arrester monitoring. Insufficient appropriate thresholds are most important restriction of these kinds of methods. In this paper, the impact of pollution, ultraviolet aging and varistors fault on harmonic spectrum of leakage current have been evaluated experimentally. Real tests and examinations have been done on different metal oxide surge arresters to investigate effects of mentioned factors on leakage current harmonics. To show results performance, bees-adaptive network based fuzzy inference system has been applied.
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Type of Study: Research Paper | Subject: High Voltage Engineering
Received: 2018/02/19 | Revised: 2019/02/07 | Accepted: 2018/07/25

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.