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A methodology for reliability assessment of substations using fault tree and Monte Carlo simulation

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Abstract

This work presents a new methodology for reliability assessment of power substations. The proposed methodology is based on a combination of two different techniques for reliability studies, which are fault tree and Monte Carlo Simulation. Usually, these techniques are individually used for reliability evaluation purposes, but the solution here presented shows the advantages of combining both of them. Results reveal that by using a new procedure, based on these well-understood techniques, vulnerable points can be identified in power substations, thus being a useful tool for deciding on new investments allocation. Firstly, the presented methodology is evaluated by using a system analytically solved, confirming its accuracy. Secondly, the proposed methodology is compared to a conventional method for reliability studies, showing its practical applicability, since both of them show the same expected results.

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Acknowledgement

The authors would like to thank the Coordination for the Improvement of Higher Level Personnel (CAPES) and the Ministry of Education of Brazil for its financial support.

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Authors and Affiliations

  1. Center for Engineering, Modelling and Social Sciences, Federal University of ABC, Santo André, Brazil

    Jair D. Barbosa, Ricardo C. Santos, Jesus F. A. Romero & Patricia T. L. Asano

  2. Department of Computer and Digital Systems Engineering, University of São Paulo, São Paulo, Brazil

    Antonio V. S. Neto, João B. Camargo, Jorge R. Almeida & Paulo S. Cugnasca

Authors
  1. Jair D. Barbosa
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  2. Ricardo C. Santos
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  3. Jesus F. A. Romero
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  4. Patricia T. L. Asano
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  5. Antonio V. S. Neto
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  6. João B. Camargo
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  7. Jorge R. Almeida
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  8. Paulo S. Cugnasca
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Correspondence to Ricardo C. Santos.

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Barbosa, J.D., Santos, R.C., Romero, J.F.A. et al. A methodology for reliability assessment of substations using fault tree and Monte Carlo simulation. Electr Eng 101, 57–66 (2019). https://doi.org/10.1007/s00202-019-00756-2

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  • DOI: https://doi.org/10.1007/s00202-019-00756-2

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