Day-ahead optimization strategies for electric vehicles participation in frequency regulation auxiliary services market based on distributionally robust chance constraint

Lu Chen; Yangjunran Zhou; Kun Wang; Haiwei Wang; Xiaoming Wang; Yunlong Huang

doi:10.1117/12.2684890

19 October 2023 Day-ahead optimization strategies for electric vehicles participation in frequency regulation auxiliary services market based on distributionally robust chance constraint

Lu Chen, Yangjunran Zhou, Kun Wang, Haiwei Wang, Xiaoming Wang, Yunlong Huang

Author Affiliations +

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127091J (2023) https://doi.org/10.1117/12.2684890
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

As the development of electric vehicles is receiving more and more attention from more and more countries, it has become an important research idea to make use of the huge regulation potential of electric vehicles to participate in the frequency regulation auxiliary service market. Therefore, this paper proposes an optimization strategy based on distributionally robust chance constraint for electric vehicles to participate in the day-ahead frequency regulation auxiliary market. First, a virtual energy storage model of electric vehicles is established to evaluate their frequency regulation potential; then, a day-ahead optimization strategy for electric vehicles to participate in the frequency regulation auxiliary market is established based on distributionally robust chance constraint considering the uncertainty of regulation signals; finally, the effectiveness and feasibility of the proposed strategy are verified by arithmetic examples.

Citation Download Citation

Lu Chen, Yangjunran Zhou, Kun Wang, Haiwei Wang, Xiaoming Wang, and Yunlong Huang "Day-ahead optimization strategies for electric vehicles participation in frequency regulation auxiliary services market based on distributionally robust chance constraint", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127091J (19 October 2023); https://doi.org/10.1117/12.2684890

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