Volume 9, Issue 4 (December 2013)                   IJEEE 2013, 9(4): 237-245 | Back to browse issues page

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Damchi Y, Sadeh J. Effect of Remote Back-Up Protection System Failure on the Optimum Routine Test Time Interval of Power System Protection. IJEEE 2013; 9 (4) :237-245
URL: http://ijeee.iust.ac.ir/article-1-570-en.html
Effect of Remote Back-Up Protection System Failure on the Optimum Routine Test Time Interval of Power System Protection
Y Damchi , J Sadeh
Abstract:   (5006 Views)
Appropriate operation of protection system is one of the effective factors to have a desirable reliability in power systems, which vitally needs routine test of protection system. Precise determination of optimum routine test time interval (ORTTI) plays a vital role in predicting the maintenance costs of protection system. In the most previous studies, ORTTI has been determined while remote back-up protection system was considered fully reliable. This assumption is not exactly correct since remote back-up protection system may operate incorrectly or fail to operate, the same as the primary protection system. Therefore, in order to determine the ORTTI, an extended Markov model is proposed in this paper considering failure probability for remote back-up protection system. In the proposed Markov model of the protection systems, monitoring facility is taken into account. Moreover, it is assumed that the primary and back-up protection systems are maintained simultaneously. Results show that the effect of remote back-up protection system failures on the reliability indices and optimum routine test intervals of protection system is considerable.
Keywords: Markov Model , Monitoring , Primary and Remote Back-Up Protection Systems , Reliability , Routine Test Time Interval
Full-Text [PDF 244 kb]   (2192 Downloads)    
Type of Study: Research Paper | Subject: Protection
Received: 2013/04/16 | Revised: 2014/09/16 | Accepted: 2013/12/22
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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.