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Analysis of the Effects of Grid-Connected Charging/Discharging Stations on Relay Protection

Author

Listed:
  • Qingjie Wang

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Jing Ma

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Lei Shang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Shuangyin Chen

    (Institute of New Energy, Wuhan 430202, China)

Abstract

The grid-connected operation of charging/discharging stations changes the original load, power supply, and network structures of the distribution network. It also affects the power flow level and direction and leads to a reduction in the sensitivity and reliability of the relay protection system. The grid connections may even lead to improper operation or failure of the relay protection protocols. In order to solve the above problems, this paper proposes a method that constructs the protection criteria by using the characteristics of the positive sequence comprehensive impedance after internal and external faults. Specifically, based on the difference in amplitude of the differential positive sequence impedance in the feeder after the charging/discharging station is connected to the grid, positive sequence comprehensive impedance is proposed for the purpose of establishing longitudinal differential protection. The results show that the vertical protection principle based on the positive sequence comprehensive impedance has a certain versatility for the protection of distribution networks with charging/discharging stations. Additionally, the protection principle has high sensitivity and is generally unaffected by transition resistance. The applicability of the proposed positive sequence comprehensive impedance vertical protection principle is verified by simulation.

Suggested Citation

  • Qingjie Wang & Jing Ma & Lei Shang & Shuangyin Chen, 2022. "Analysis of the Effects of Grid-Connected Charging/Discharging Stations on Relay Protection," Energies, MDPI, vol. 15(23), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9065-:d:988849
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    References listed on IDEAS

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    1. Li, Yaoming & Zhang, Qi & Liu, Boyu & McLellan, Benjamin & Gao, Yuan & Tang, Yanyan, 2018. "Substitution effect of New-Energy Vehicle Credit Program and Corporate Average Fuel Consumption Regulation for Green-car Subsidy," Energy, Elsevier, vol. 152(C), pages 223-236.
    2. Li, Wenbo & Long, Ruyin & Chen, Hong, 2016. "Consumers’ evaluation of national new energy vehicle policy in China: An analysis based on a four paradigm model," Energy Policy, Elsevier, vol. 99(C), pages 33-41.
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