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Entropy-Based Characterization of the Transient Phenomena—Systemic Approach

Author

Listed:
  • Denis Stanescu

    (Telecommunications and Information Technology Department, Military Technical Academy “Ferdinand I”, 050141 Bucharest, Romania
    Gipsa-Lab, Université Grenoble—Alpes, 38400 Grenoble, France)

  • Angela Digulescu

    (Telecommunications and Information Technology Department, Military Technical Academy “Ferdinand I”, 050141 Bucharest, Romania
    ALTRANS, 38400 Grenoble, France)

  • Cornel Ioana

    (Gipsa-Lab, Université Grenoble—Alpes, 38400 Grenoble, France)

  • Alexandru Serbanescu

    (Telecommunications and Information Technology Department, Military Technical Academy “Ferdinand I”, 050141 Bucharest, Romania)

Abstract

The difficulties of predictive maintenance of power grids are related to the large spread of electrical infrastructures and the definition of early warning indicators. Such indicator is the partial discharge activities—which can be very informative about the rising insulation problems of electrical materials. However, the detection and the localization of the partial discharges are very complicate tasks and are currently subject to intensive studies in both theoretical and practical domains. The traditional way to approach the global surveillance of partial discharge sources is to first detect it and the second is to attempt to localize their positions. Despite the numerous proposed approaches, based on advanced transient signal processing tools, there is no any operational technique to efficiently asses the partial discharge sources in a real power network. In this context, our paper proposes a new approach based on the global evaluation of entropy of transient phenomena detected in a power network, without needing any localization of the sources of these phenomena. We will show that this approach provides an effective evaluation of partial discharges sources. Moreover, since the technique requires a reduced number of sensors, it is very advantageous to use in real contexts.

Suggested Citation

  • Denis Stanescu & Angela Digulescu & Cornel Ioana & Alexandru Serbanescu, 2021. "Entropy-Based Characterization of the Transient Phenomena—Systemic Approach," Mathematics, MDPI, vol. 9(6), pages 1-14, March.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:648-:d:519535
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    References listed on IDEAS

    as
    1. Adriana Mar & Pedro Pereira & João F. Martins, 2019. "A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience," Energies, MDPI, vol. 12(24), pages 1-21, December.
    2. Guowei Cai & Lixin Wang & Deyou Yang & Zhenglong Sun & Bo Wang, 2019. "Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition," Energies, MDPI, vol. 12(2), pages 1-16, January.
    3. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2019. "Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. Irena Orović & Vladan Papić & Cornel Ioana & Xiumei Li & Srdjan Stanković, 2016. "Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-16, October.
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