Volume 17, Issue 1 (March 2021)                   IJEEE 2021, 17(1): 1734-1734 | Back to browse issues page


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Mirsamadi A, Damchi Y, Assili M. Impact of Human Error Modeling on Failure Rate and Optimum Routine Test Interval of Protection System. IJEEE 2021; 17 (1) :1734-1734
URL: http://ijeee.iust.ac.ir/article-1-1734-en.html
Abstract:   (2582 Views)
Power systems should have acceptable reliability in order to operate properly. Highly available and dependable protective relays help to obtain the desirable reliability. The relays should be periodically evaluated during specific intervals to achieve the mentioned characteristics. The Routine Test Interval (RTI) should be optimized in order to economically maximize the reliability of the protection system. The failure rate of the relays plays a vital role in determination of the Optimum Routine Test Interval (ORTI). Human error is one of the effective factors in the failure rate of the relays. Therefore, in this paper, a Markov model is proposed to investigate the impact of human error on the failure rate and the ORTI of the protection system. The model is applied for the protection system of power transformer. The obtained results indicated that human error has a significant impact on the increase of protection system failure, the decrease of the desired reliability indices, and the reduction of ORTI of the protection system.
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  • A Markov model is proposed for the impact of human error modeling on failure rate of the protection system.
  • The optimum time interval of routine test of protection system is determined.
  • The proposed Markov model is applied to the protection system of power transformers.
  • Results show that the human error rate has a significant impact on the increase of failure rate and decrease of the optimum time interval of routine test of the protection system.

Type of Study: Research Paper | Subject: Power Systems Reliability
Received: 2019/11/26 | Revised: 2020/02/17 | Accepted: 2020/02/28

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

Creative Commons License
© 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.