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Fuzzy Probability and Power System Safety

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Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

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Abstract

The paper proposes a fuzzy event-tree analysis of electric power protection system reliability. The elaborated analysis proposes a new algorithm used for fuzzy event-tree calculation. On this purpose a fuzzy logic system (FLS) was elaborated. The proposed SLF has got, as an output element, the electric-power protection system “Safety” instead of the usually “Risk” parameter, used in engineering applications (with, or without fuzzy logic elements). In the paper the FLS output is used for independent analyzing of an electric power protection system. But it is elaborated for a complex analysis including the power system connected with its protection system. An efficient software toll FETA (“Fuzzy Event-Tree Analysis”), for independent analyzing of an electric power protection system “Safety”, was built. It is able to compute “General Safety” fuzzy conclusion about the analyzed system and also the General Safety Degree index.

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References

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, “Dunarea de Jos” Galati University, Domneasca Street-111, Galati, 6200, Romania

    Mariana Dumitrescu & Toader Munteanu

Authors
  1. Mariana Dumitrescu
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  2. Toader Munteanu
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Dumitrescu, M., Munteanu, T. (2001). Fuzzy Probability and Power System Safety. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_87

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  • DOI: https://doi.org/10.1007/3-540-45493-4_87

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

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