Abstract
A Smart Grid combines Information and Communication Technology (ICT’s) with innovative power equipment in a fully autonomous and sustainable electrical grid. However, their growing and complex interdependence must be considered in a Smart Grid reliability analysis. Reliable data about its components is not available or even inaccurate most of the time to apply in a Smart Grid the classic method of Failure Modes and Effect Analysis (FMEA). For this reason, this work proposes to a fuzzy-based FMEA that is designed to compute the failure modes risk level in Smart Grids. The results achieved show its capability in improving not only the perception of risk, but also rank in a better way the impact of failure modes.
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Acknowledgements
This work has been partially supported by: Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT) of the Ecuadorian Government, and also supported by national funds through the Fundação para a Ciência e a Tecnologia (FCT) of the Portuguese Government with references UID/EEA/50008/2013 and through IDMEC, under LAETA, project UID/EMS/50022/2013.
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Zúñiga, A.A., Fernandes, J.F.P., Costa Branco, P.J. (2019). A Fuzzy-Based Failure Modes and Effects Analysis (FMEA) in Smart Grids. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_49
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DOI: https://doi.org/10.1007/978-3-030-11890-7_49
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