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Design of Space Efficient Electric Vehicle Charging Infrastructure Integration Impact on Power Grid Network

Author

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  • Suresh Chavhan

    (Department of Electronics and Communication Engineering, Indian Institute of Information Technology Kottayam, Kerala 686635, India
    Big Data and Machine Learning Lab, South Ural State University, 454080 Chelyabinsk, Russia)

  • Subhi R. M. Zeebaree

    (Energy Engineering Department, Technical College of Engineering, Duhok Polytechnic University, Duhok 42001, Iraq)

  • Ahmed Alkhayyat

    (College of Technical Engineering, The Islamic University, Najaf 54001, Iraq)

  • Sachin Kumar

    (Big Data and Machine Learning Lab, South Ural State University, 454080 Chelyabinsk, Russia)

Abstract

With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for EV charging infrastructure. The present charging infrastructure in the market requires a lot of space and sometimes leads to traffic congestion, increasing the risk of accidents and obstruction of emergency vehicles. As the current infrastructure requires ample space, the cost of setting up this charging infrastructure becomes very high in metropolitan cities. In addition, there are a lot of adverse effects on the power grid due to the integration of EVs. This paper discusses a space-efficient charging infrastructure and multi-agent system-based power grid balance to overcome these issues. The proposed multi-level EV charging station can save a lot of space and reduce traffic congestion as more vehicles can be accommodated in the space. Depending on the size, capacity, and type of multi-level vehicle charging system, it can serve as a reliable charging solution at sites with medium and high daily footfall. We integrated the EV charging station with IEEE 33 bus test system and analyzed the grid and charging stations. The proposed scheme is exhaustively tested by simulation in a discrete-time event simulator in MATLAB and analyzed with varying EV arrival rates, time periods, etc.

Suggested Citation

  • Suresh Chavhan & Subhi R. M. Zeebaree & Ahmed Alkhayyat & Sachin Kumar, 2022. "Design of Space Efficient Electric Vehicle Charging Infrastructure Integration Impact on Power Grid Network," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3450-:d:922174
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    References listed on IDEAS

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    1. Vogt, Mike & Marten, Frank & Braun, Martin, 2018. "A survey and statistical analysis of smart grid co-simulations," Applied Energy, Elsevier, vol. 222(C), pages 67-78.
    2. Erfan Mohagheghi & Mansour Alramlawi & Aouss Gabash & Pu Li, 2018. "A Survey of Real-Time Optimal Power Flow," Energies, MDPI, vol. 11(11), pages 1-20, November.
    3. Colak, Ilhami & Sagiroglu, Seref & Fulli, Gianluca & Yesilbudak, Mehmet & Covrig, Catalin-Felix, 2016. "A survey on the critical issues in smart grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 396-405.
    4. Sureshkumar, K. & Ponnusamy, Vijayakumar, 2019. "Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm," Energy, Elsevier, vol. 181(C), pages 1166-1178.
    5. D. Vallejo & J. Albusac & C. Glez-Morcillo & J.J. Castro-Schez & L. Jiménez, 2014. "A multi-agent approach to intelligent monitoring in smart grids," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(4), pages 756-777, April.
    6. Lin, Shin-Yeu & Chen, Jyun-Fu, 2013. "Distributed optimal power flow for smart grid transmission system with renewable energy sources," Energy, Elsevier, vol. 56(C), pages 184-192.
    7. Yuttana Kongjeen & Krischonme Bhumkittipich, 2018. "Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis," Energies, MDPI, vol. 11(6), pages 1-16, June.
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    Cited by:

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