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Design of Isolated Microgrid System Considering Controllable EV Charging Demand

Author

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  • Sang Heon Chae

    (Electric Energy Research Center, Jeju National University, Jeju-si 63243, Korea)

  • Gi Hoon Kim

    (Department of Electrical Engineering, Jeju National University, Jeju-si 63243, Korea)

  • Yeong-Jun Choi

    (Department of Electrical Engineering, Jeju National University, Jeju-si 63243, Korea)

  • Eel-Hwan Kim

    (Department of Electrical Engineering, Jeju National University, Jeju-si 63243, Korea)

Abstract

Microgrid construction is promoted globally to solve the problems of energy inequality in island regions and the use of fossil fuels. In the application of a microgrid system, it is important to calculate the capacities of renewable energy sources and storage systems (ESSs) to ensure economic feasibility. In some microgrids that have recently had environmental challenges, there are island regions where the policy is to consider both the installation of the microgrid system and the supplement of electric vehicles (EV). However, an EV load pattern that does not match the solar radiation pattern may increase the required ESS capacity. Therefore, in this study, we designed and analyzed a method for reducing the microgrid system cost using a controllable EV charging load without the requirements of vehicle-to-grid technology and real-time pricing. The power system operations at similar capacities of photovoltaic and ESS were shown by applying EV charging control steps in 10% increments to analyze the effect of EV charging demand control on the microgrid. As a result of the proposed simulation, the amount of renewable power generation increased by 2.8 GWh over 20 years only by moving the charging load under the same conditions. This is an effect that can reduce CO 2 by about 2.1 kTon.

Suggested Citation

  • Sang Heon Chae & Gi Hoon Kim & Yeong-Jun Choi & Eel-Hwan Kim, 2020. "Design of Isolated Microgrid System Considering Controllable EV Charging Demand," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9746-:d:449221
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    References listed on IDEAS

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    1. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
    2. Zhaoxi Liu & Qiuwei Wu & Arne Hejde Nielsen & Yun Wang, 2014. "Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050," Energies, MDPI, vol. 7(3), pages 1-17, March.
    3. Pecenak, Zachary K. & Stadler, Michael & Fahy, Kelsey, 2019. "Efficient multi-year economic energy planning in microgrids," Applied Energy, Elsevier, vol. 255(C).
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    Cited by:

    1. Mohammad Hossein Fouladfar & Nagham Saeed & Mousa Marzband & Giuseppe Franchini, 2021. "Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR," Energies, MDPI, vol. 14(18), pages 1-12, September.
    2. Kalim U. Shah & Mohammed Awojobi & Zakia Soomauroo, 2022. "Electric vehicle adoption in small island economies: Review from a technology transition perspective," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
    3. Ting Wang & Qiya Wang & Caiqing Zhang, 2021. "Research on the Optimal Operation of a Novel Renewable Multi-Energy Complementary System in Rural Areas," Sustainability, MDPI, vol. 13(4), pages 1-16, February.

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