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Cost of Industrial Process Shutdowns Due to Voltage Sag and Short Interruption

Author

Listed:
  • Édison Massao Motoki

    (Power Systems Department, Mackenzie Presbyterian University, São Paulo 01302-907, SP, Brazil
    Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá 37500-903, MG, Brazil)

  • José Maria de Carvalho Filho

    (Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá 37500-903, MG, Brazil)

  • Paulo Márcio da Silveira

    (Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá 37500-903, MG, Brazil)

  • Natanael Barbosa Pereira

    (Energias de Portugal—EDP, São José dos Campos 12210-010, SP, Brazil)

  • Paulo Vitor Grillo de Souza

    (Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá 37500-903, MG, Brazil
    Automatic Department, Federal University of Lavras, Lavras 37200-000, MG, Brazil)

Abstract

The objective of this work is to propose and apply a methodology to obtain the cost of industrial process shutdowns due to voltage sag and short interruption. A field survey, aided by a specific questionnaire, was carried out in several industries connected to medium voltage networks, in the states of Espírito Santo and São Paulo in Brazil. The results obtained were the costs per event and the costs per demand in a total of 33 companies in 12 different types of activities. It is noteworthy that this survey brings a relevant technical contribution to the electricity sector, helping to fill, even partially, an existing gap in both national and international literature.

Suggested Citation

  • Édison Massao Motoki & José Maria de Carvalho Filho & Paulo Márcio da Silveira & Natanael Barbosa Pereira & Paulo Vitor Grillo de Souza, 2021. "Cost of Industrial Process Shutdowns Due to Voltage Sag and Short Interruption," Energies, MDPI, vol. 14(10), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2874-:d:555700
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    Citations

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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. Michele Zanoni & Riccardo Chiumeo & Liliana Tenti & Massimo Volta, 2023. "What Else Do the Deep Learning Techniques Tell Us about Voltage Dips Validity? Regional-Level Assessments with the New QuEEN System Based on Real Network Configurations," Energies, MDPI, vol. 16(3), pages 1-24, January.
    3. Xiaohan Guo & Yong Li & Shaoyang Wang & Yijia Cao & Mingmin Zhang & Yicheng Zhou & Nakanishi Yosuke, 2021. "A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks," Energies, MDPI, vol. 14(19), pages 1-13, October.
    4. Yonghai Xu & Xingguan Fan & Siying Deng & Chunhao Niu, 2021. "A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type," Energies, MDPI, vol. 14(16), pages 1-22, August.
    5. Valery Pupin & Victor Orlov, 2023. "Modeling of Electrical Systems for Uninterrupted Operation of Drives in Case of Short-Term Distortions in the Supply Networks," Energies, MDPI, vol. 16(10), pages 1-20, May.
    6. Gabriel Nicolae Popa, 2022. "Electric Power Quality through Analysis and Experiment," Energies, MDPI, vol. 15(21), pages 1-14, October.

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