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Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags

Author

Listed:
  • Alena Otcenasova

    (Faculty of Electrical Engineering, Department of Power Electrical Systems, University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Roman Bodnar

    (The Electricity Distribution Company, Pri Rajcianke 2927/8, 010 47 Zilina, Slovakia)

  • Michal Regula

    (Faculty of Electrical Engineering, Department of Power Electrical Systems, University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Marek Hoger

    (Faculty of Electrical Engineering, Department of Power Electrical Systems, University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia)

  • Michal Repak

    (Faculty of Electrical Engineering, Department of Power Electrical Systems, University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia)

Abstract

This article deals with the assessment of the reliability of sensitive equipment due to voltage sags. The most frequent problems of power quality are voltage sags. Equipment that cannot withstand short-term voltage sag is defined as sensitive device. Sensitivity of such equipment can be described by the voltage–tolerance curves. A device (generator) to generate voltage sags (also interruptions) with duration at least 1 ms has been designed and developed for this purpose. Equipment sensitive to voltage sags was tested using this generator. Overall, five types of sensitive equipment were tested: personal computers, fluorescent lamps, drives with speed control, programmable logic controllers, and contactors. The measured sensitivity curves of these devices have been used to determine the number of trips (failures) due to voltage sags. Two probabilistic methods (general probability method and cumulative probability method) to determine probability of equipment failure occurrence are used. These methods were applied to real node in the distribution system with its actual performance of voltage sags/swells. The calculations also contain different levels of sensitivity of the sensitive equipment.

Suggested Citation

  • Alena Otcenasova & Roman Bodnar & Michal Regula & Marek Hoger & Michal Repak, 2017. "Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags," Energies, MDPI, vol. 10(3), pages 1-26, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:401-:d:93575
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    References listed on IDEAS

    as
    1. Isabel M. Moreno-Garcia & Antonio Moreno-Munoz & Aurora Gil-de-Castro & Math Bollen & Irene Y. H. Gu, 2015. "Novel Segmentation Technique for Measured Three-Phase Voltage Dips," Energies, MDPI, vol. 8(8), pages 1-20, August.
    2. Stephen Whaite & Brandon Grainger & Alexis Kwasinski, 2015. "Power Quality in DC Power Distribution Systems and Microgrids," Energies, MDPI, vol. 8(5), pages 1-22, May.
    3. Alberto Dolara & Sonia Leva, 2012. "Power Quality and Harmonic Analysis of End User Devices," Energies, MDPI, vol. 5(12), pages 1-14, December.
    4. Sinan Küfeoğlu & Matti Lehtonen, 2016. "Macroeconomic Assessment of Voltage Sags," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    5. Yuanyuan Sun & Peixin Li & Shurong Li & Linghan Zhang, 2017. "Contribution Determination for Multiple Unbalanced Sources at the Point of Common Coupling," Energies, MDPI, vol. 10(2), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jagannath Patra & Nitai Pal, 2022. "A Mathematical Approach of Voltage Sag Analysis Incorporating Bivariate Probability Distribution in a Meshed System," Energies, MDPI, vol. 15(20), pages 1-19, October.
    2. Alexandre Serrano-Fontova & Pablo Casals Torrens & Ricard Bosch, 2019. "Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies," Energies, MDPI, vol. 12(16), pages 1-21, August.
    3. Horia Gheorghe Beleiu & Ioana Natalia Beleiu & Sorin Gheorghe Pavel & Cosmin Pompei Darab, 2018. "Management of Power Quality Issues from an Economic Point of View," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    4. Javier Fernández-Morales & Juan-José González-de-la-Rosa & José-María Sierra-Fernández & Olivia Florencias-Oliveros & Paula Remigio-Carmona & Manuel-Jesús Espinosa-Gavira & Agustín Agüera-Pérez & José, 2022. "Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming," Data, MDPI, vol. 7(11), pages 1-10, November.

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