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Power Quality Issues of Electro-Mobility on Distribution Network—An Overview

Author

Listed:
  • Shimi Sudha Letha

    (Electrical Engineering Department, Punjab Engineering College (Deemed-to-be University), Chandigarh 160012, India
    Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Math H. J. Bollen

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Tatiano Busatto

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Angela Espin Delgado

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Enock Mulenga

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Hamed Bakhtiari

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Jil Sutaria

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Kazi Main Uddin Ahmed

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Naser Nakhodchi

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Selçuk Sakar

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

  • Vineetha Ravindran

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Skellefteå, Sweden)

Abstract

The journey towards sustainable transportation has significantly increased the grid penetration of electric vehicles (EV) around the world. The connection of EVs to the power grid poses a series of new challenges for network operators, such as network loading, voltage profile perturbation, voltage unbalance, and other power quality issues. This paper presents a coalescence of knowledge on the impact that electro-mobility can impose on the grid, and identifies gaps for further research. Further, the study investigates the impact of electric vehicle charging on the medium-voltage network and low-voltage distribution network, keeping in mind the role of network operators, utilities, and customers. From this, the impacts, challenges, and recommendations are summarized. This paper will be a valuable resource to research entities, industry professionals, and network operators, as a ready reference of all possible power quality challenges posed by electro-mobility on the distribution network.

Suggested Citation

  • Shimi Sudha Letha & Math H. J. Bollen & Tatiano Busatto & Angela Espin Delgado & Enock Mulenga & Hamed Bakhtiari & Jil Sutaria & Kazi Main Uddin Ahmed & Naser Nakhodchi & Selçuk Sakar & Vineetha Ravin, 2023. "Power Quality Issues of Electro-Mobility on Distribution Network—An Overview," Energies, MDPI, vol. 16(13), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4850-:d:1176284
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    References listed on IDEAS

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    1. Jakov Topić & Branimir Škugor & Joško Deur, 2019. "Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range," Energies, MDPI, vol. 12(7), pages 1-20, April.
    2. Akansha Jain & Masoud Karimi-Ghartemani, 2022. "Mitigating Adverse Impacts of Increased Electric Vehicle Charging on Distribution Transformers," Energies, MDPI, vol. 15(23), pages 1-26, November.
    3. Xu, Fang Yuan & Tang, Rui Xin & Xu, Si Bin & Fan, Yi Liang & Zhou, Ya & Zhang, Hao Tian, 2021. "Neural network-based photovoltaic generation capacity prediction system with benefit-oriented modification," Energy, Elsevier, vol. 223(C).
    4. Sheeraz Iqbal & Salman Habib & Noor Habib Khan & Muhammad Ali & Muhammad Aurangzeb & Emad M. Ahmed, 2022. "Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    5. Shimi Sudha Letha & Angela Espin Delgado & Sarah K. Rönnberg & Math H. J. Bollen, 2021. "Evaluation of Medium Voltage Network for Propagation of Supraharmonics Resonance," Energies, MDPI, vol. 14(4), pages 1-17, February.
    6. Kristoffersen, Trine Krogh & Capion, Karsten & Meibom, Peter, 2011. "Optimal charging of electric drive vehicles in a market environment," Applied Energy, Elsevier, vol. 88(5), pages 1940-1948, May.
    7. Meng, Jian & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qu, Bo, 2016. "Dynamic frequency response from electric vehicles considering travelling behavior in the Great Britain power system," Applied Energy, Elsevier, vol. 162(C), pages 966-979.
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