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An Insight into Practical Solutions for Electric Vehicle Charging in Smart Grid

Author

Listed:
  • Sara Deilami

    (School of Engineering, Macquarie University, Sydney, NSW 2113, Australia)

  • S. M. Muyeen

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6102, Australia)

Abstract

The electrification of transportation has been developed to support energy efficiency and CO 2 reduction. As a result, electric vehicles (EVs) have become more popular in the current transport system to create more efficient energy. In recent years, this increase in EVs as well as renewable energy resources (RERs) has led to a major issue for power system networks. This paper studies electrical vehicles (EVs) and their applications in the smart grid and provides practical solutions for EV charging strategies in a smart power system to overcome the issues associated with large-scale EV penetrations. The research first reviews the EV battery infrastructure and charging strategies and introduces the main impacts of uncontrolled charging on the power grid. Then, it provides a practical overview of the existing and future solutions to manage the large-scale integration of EVs into the network. The simulation results for two controlled strategies of maximum sensitivity selection (MSS) and genetic algorithm (GA) optimization are presented and reviewed. A comparative analysis was performed to prove the application and validity of the solution approaches. This also helps researchers with the application of the optimization approaches on EV charging strategies. These two algorithms were implemented on a modified IEEE 23 k V medium voltage distribution system with switched shunt capacitors (SSCs) and a low voltage residential network, including EVs and nonlinear EV battery chargers.

Suggested Citation

  • Sara Deilami & S. M. Muyeen, 2020. "An Insight into Practical Solutions for Electric Vehicle Charging in Smart Grid," Energies, MDPI, vol. 13(7), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1545-:d:337386
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    References listed on IDEAS

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    1. Md Morshed Alam & Saad Mekhilef & Mehdi Seyedmahmoudian & Ben Horan, 2017. "Dynamic Charging of Electric Vehicle with Negligible Power Transfer Fluctuation," Energies, MDPI, vol. 10(5), pages 1-20, May.
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    4. Sara Deilami, 2018. "Online Coordination of Plug-In Electric Vehicles Considering Grid Congestion and Smart Grid Power Quality," Energies, MDPI, vol. 11(9), pages 1-17, August.
    5. Sanchari Deb & Kari Tammi & Karuna Kalita & Pinakeshwar Mahanta, 2018. "Impact of Electric Vehicle Charging Station Load on Distribution Network," Energies, MDPI, vol. 11(1), pages 1-25, January.
    6. Nasim Jabalameli & Xianging Su & Sara Deilami, 2019. "An Online Coordinated Charging/Discharging Strategy of Plug-in Electric Vehicles in Unbalanced Active Distribution Networks with Ancillary Reactive Service in the Energy Market," Energies, MDPI, vol. 12(7), pages 1-17, April.
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    Cited by:

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    5. Bahman Ahmadi & Elham Shirazi, 2023. "A Heuristic-Driven Charging Strategy of Electric Vehicle for Grids with High EV Penetration," Energies, MDPI, vol. 16(19), pages 1-26, October.
    6. Andrzej Grzegorz Lange & Grzegorz Redlarski, 2020. "Selection of C-Type Filters for Reactive Power Compensation and Filtration of Higher Harmonics Injected into the Transmission System by Arc Furnaces," Energies, MDPI, vol. 13(9), pages 1-19, May.
    7. Salim, Daniel Henrique Carneiro & de Sousa Mello, Caio César & Franco, Guilherme Gandra & de Albuquerque Nóbrega, Rodrigo Affonso & de Paula, Eduardo Coutinho & Fonseca, Bráulio Magalhães & Nero, Marc, 2023. "Unveiling Fernando de Noronha Island's photovoltaic potential with unmanned aerial survey and irradiation modeling," Applied Energy, Elsevier, vol. 337(C).
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    9. Michel Noussan & Francesco Neirotti, 2020. "Cross-Country Comparison of Hourly Electricity Mixes for EV Charging Profiles," Energies, MDPI, vol. 13(10), pages 1-14, May.

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