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Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control

Author

Listed:
  • Yeong Yoo

    (Energy, Mining and Environment Research Centre, National Research Council Canada, 1200 Montréal Road, M-12, Ottawa, ON K1A 0R6, Canada)

  • Yousef Al-Shawesh

    (Faculty of Engineering and Applied Science, Ontario Tech University, 2000 Simcoe Street N., Oshawa, ON LlG 0C5, Canada)

  • Alain Tchagang

    (Digital Technologies Research Centre, National Research Council Canada, 1200 Montréal Road, M-50, Ottawa, ON K1A 0R6, Canada)

Abstract

The increased penetration of renewable energy sources (RES) and electric vehicles (EVs) is resulting in significant challenges to the stability, reliability, and resiliency of the electrical grid due to the intermittency nature of RES and uncertainty of charging demands of EVs. There is a potential for significant economic returns to use vehicle-to-grid (V2G) technology for peak load reduction and frequency control. To verify the effectiveness of the V2G-based frequency control in a microgrid, modeling and simulations of single- and multi-vehicle-based primary and secondary frequency controls were conducted to utilize the integrated components at the Canadian Centre for Housing Technology (CCHT)-V2G testing facility by using MATLAB/Simulink. A single-vehicle-based model was validated by comparing empirical testing and simulations of primary and secondary frequency controls. The validated conceptual model was then applied for dynamic phasor simulations of multi-vehicle-based frequency control with a proposed coordinated control algorithm for improving frequency stability and facilitating renewables integration with V2G-capable EVs in a microgrid. This proposed model includes a decentralized coordinated control of the state of charge (SOC) and charging schedule for five aggregated EVs with different departure times and SOC management profiles preferred by EV drivers. The simulation results showed that the fleet of 5 EVs in V2B/V2G could effectively reduce frequency deviation in a microgrid.

Suggested Citation

  • Yeong Yoo & Yousef Al-Shawesh & Alain Tchagang, 2021. "Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control," Energies, MDPI, vol. 14(9), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2530-:d:545225
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    References listed on IDEAS

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    1. Li, Pengfei & Hu, Weihao & Xu, Xiao & Huang, Qi & Liu, Zhou & Chen, Zhe, 2019. "A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control," Energy, Elsevier, vol. 189(C).
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    Cited by:

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    2. Daud Mustafa Minhas & Josef Meiers & Georg Frey, 2022. "Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets," Energies, MDPI, vol. 15(5), pages 1-29, February.
    3. Oussama Ouramdane & Elhoussin Elbouchikhi & Yassine Amirat & Ehsan Sedgh Gooya, 2021. "Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends," Energies, MDPI, vol. 14(14), pages 1-45, July.
    4. Junhyung Kim & Jinho Kim & Hwanmin Jeong, 2022. "Key Parameters for Economic Valuation of V2G Applied to Ancillary Service: Data-Driven Approach," Energies, MDPI, vol. 15(23), pages 1-12, November.
    5. Boris V. Malozyomov & Nikita V. Martyushev & Vladimir Yu. Konyukhov & Tatiana A. Oparina & Nikolay A. Zagorodnii & Egor A. Efremenkov & Mengxu Qi, 2023. "Mathematical Analysis of the Reliability of Modern Trolleybuses and Electric Buses," Mathematics, MDPI, vol. 11(15), pages 1-25, July.
    6. Adlan Pradana & Mejbaul Haque & Mithulanathan Nadarajah, 2023. "Control Strategies of Electric Vehicles Participating in Ancillary Services: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-36, February.
    7. Surender Reddy Salkuti, 2022. "Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid," Energies, MDPI, vol. 15(18), pages 1-7, September.

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