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A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks

Author

Listed:
  • Xiaohan Guo

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yong Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Shaoyang Wang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yijia Cao

    (College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Mingmin Zhang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yicheng Zhou

    (Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8050, Japan)

  • Nakanishi Yosuke

    (Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8050, Japan)

Abstract

With the increasing use of sensitive loads in frequency converters and in relays in distribution networks, voltage sag has become a major power quality issue that urgently needs to be solved. For the purpose of improving the understanding of voltage sag severity in distribution networks, a comprehensive weight-based severity evaluation method of voltage sag is presented in this paper. First, a multi-side index system that takes into account the combined influence of the source, network, and the load is established. A comprehensive weight method, which combines the improved analytic hierarchy process (IAHP) and the entropy method, is then adopted to determine the index weight. The weight of each index and the degree of superiority are linearly weighted to obtain the severity of voltage sag at different observation points. Finally, the effectiveness of the proposed method is verified using a distribution network model established in DIgSILENT PowerFactory (15.1.7, Gomaringen, Germany).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6434-:d:651862
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    Cited by:

    1. Yudong Tan & Guosheng Xie & Yunhao Xiao & Yi Luo & Xintao Xie & Ming Wen, 2022. "Comprehensive Benefit Evaluation of Hybrid Pumped-Storage Power Stations Based on Improved Rank Correlation-Entropy Weight Method," Energies, MDPI, vol. 15(22), pages 1-17, November.
    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.

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