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A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

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  • Yonghai Xu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering (SEEE), North China Electric Power University (NCEPU), Beijing 102206, China)

  • Xingguan Fan

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering (SEEE), North China Electric Power University (NCEPU), Beijing 102206, China)

  • Siying Deng

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering (SEEE), North China Electric Power University (NCEPU), Beijing 102206, China)

  • Chunhao Niu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering (SEEE), North China Electric Power University (NCEPU), Beijing 102206, China)

Abstract

Considering the influence of user equipment voltage tolerance characteristics and sag types on the evaluation results, this paper proposes a voltage sag severity evaluation method for the system side which considers the influence of the voltage tolerance curve and sag type. As such, a quantitative evaluation of the severity of voltage sag events can be achieved. Firstly, the user’s voltage tolerance curve is used to construct the comparison reference value of the energy index, in order to realize the rapid analysis of the severity of the sag event in the normal area and the abnormal area. Secondly, aiming at the problem of insufficient descriptions of the severity difference of sag events in uncertain areas, an improved energy index evaluation model combined with user tolerance characteristics is established through an interval division and interval weight calculation, so as to divide and evaluate the severity of sag events in uncertain areas. Considering the influence of the sag type on the voltage tolerance curve and user equipment, the energy index correction factor is then constructed, and the measurement function is used for an interval evaluation to obtain the ranking result of the voltage sag severity, which is more in line with the actual situation. Finally, the rationality and effectiveness of the proposed method are verified by analyzing 24 voltage sag events at a monitoring node.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5065-:d:616337
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    References listed on IDEAS

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    1. 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.
    2. Anthony J. Christe & Sergey Negrashov & Philip M. Johnson, 2020. "Design, Implementation, and Evaluation of Open Power Quality," Energies, MDPI, vol. 13(15), pages 1-25, August.
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    Cited by:

    1. 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.

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