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Control Strategies of Electric Vehicles Participating in Ancillary Services: A Comprehensive Review

Author

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  • Adlan Pradana

    (School of Information Technology and Electrical Engineering (ITEE), University of Queensland (UQ), Brisbane 4067, Australia)

  • Mejbaul Haque

    (School of Information Technology and Electrical Engineering (ITEE), University of Queensland (UQ), Brisbane 4067, Australia)

  • Mithulanathan Nadarajah

    (School of Information Technology and Electrical Engineering (ITEE), University of Queensland (UQ), Brisbane 4067, Australia)

Abstract

With the emergence of the electric vehicle (EV) era in which the vehicle’s embedded batteries can be exploited for grid support purposes, the role of EVs participating in ancillary services via vehicle-to-grid (V2G) technology cannot be disregarded. Although there are many forms of ancillary services, the most common services delivered by EVs are frequency regulation, frequency contingency, inertia, and voltage regulation. Numerous research studies have been conducted to propose the most effective control strategies for electric vehicle ancillary services (EVASs). In this paper, a comprehensive review is carried out on various control strategies for EVs with respect to their participation in ancillary services. The methodology applied for this review comprises a combination of thematic and historical reviews. The review explores the benefits and limitations of these control strategies and provides a clear understanding of the research gaps in the EVAS area. This review will provide a useful framework and a strong point of reference for researchers working in V2G controls for providing EVASs to a grid. V2G will be a way forward for future grids to accommodate more renewable resources and achieve sustainability pathways.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1782-:d:1064942
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    2. Husam A. Neamah & Mohammed Dulaimi & Alaa Silavinia & Aminu Babangida & Péter Tamás Szemes, 2024. "Development of a Volkswagen Jetta MK5 Hybrid Vehicle for Optimized System Efficiency Based on a Genetic Algorithm," Energies, MDPI, vol. 17(5), pages 1-27, February.

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