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A General Framework for Voltage Sag Performance Analysis of Distribution Networks

Author

Listed:
  • Amir Safdarian

    (Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran
    Electrical Engineering and Automation Department, Aalto University, 02150 Espoo, Finland)

  • Mahmud Fotuhi-Firuzabad

    (Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran)

  • Matti Lehtonen

    (Electrical Engineering and Automation Department, Aalto University, 02150 Espoo, Finland)

Abstract

The proliferation of more sensitive loads has obliged distribution companies to pay greater attention to the voltage sag mitigation potential of different design alternatives in network planning studies. In doing so, a company has to have effective tools for estimating the voltage sag performance of its network. In this regard, this paper establishes a three-step framework for evaluating voltage sag performance of a distribution network. The first step, designated as state selection, is to select a network state in which voltage sag is likely. Although voltage sags have various causes, those that originated from faults in distribution networks are considered in this paper. The stochastic nature of fault location, type, resistance, and duration as well as the response of the protection system are taken into account. The second step, called state evaluation, deals with sag characteristics during the fault clearing time and the protection system response. The third step, named index calculation, is to estimate indices reflecting the sag performance of the network. A number of indices are proposed in this paper to reflect both system and load point-oriented issues. In light of the indices, companies may find effective solutions for voltage sag mitigation and customers choose appropriate solutions to provide ride-through support for their critical processes.

Suggested Citation

  • Amir Safdarian & Mahmud Fotuhi-Firuzabad & Matti Lehtonen, 2019. "A General Framework for Voltage Sag Performance Analysis of Distribution Networks," Energies, MDPI, vol. 12(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2824-:d:250668
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    Citations

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    Cited by:

    1. Jagannath Patra & Nitai Pal & Harish Chandra Mohanta & Reynah Akwafo & Heba G. Mohamed, 2023. "A Novel Approach of Voltage Sag Data Analysis Stochastically: Study, Representation, and Detection of Region of Vulnerability," Sustainability, MDPI, vol. 15(5), pages 1-29, February.
    2. Joong-Woo Shin & Young-Woo Youn & Jin-Seok Kim, 2023. "Voltage Sag Mitigation Effect Considering Failure Probability According to the Types of SFCL," Energies, MDPI, vol. 16(2), pages 1-10, January.

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