王明深, 潘益, 缪惠宇, 韩华春, 曾飞, 袁晓冬. 考虑用户多样化需求的电动汽车集群调频控制策略[J]. 现代电力, 2024, 41(3): 565-573. DOI: 10.19725/j.cnki.1007-2322.2022.0355
引用本文: 王明深, 潘益, 缪惠宇, 韩华春, 曾飞, 袁晓冬. 考虑用户多样化需求的电动汽车集群调频控制策略[J]. 现代电力, 2024, 41(3): 565-573. DOI: 10.19725/j.cnki.1007-2322.2022.0355
WANG Mingshen, PAN Yi, MIAO Huiyu, HAN Huachun, ZENG Fei, YUAN Xiaodong. Frequency Regulation Strategy of EV Aggregator Considering Various User Requirements[J]. Modern Electric Power, 2024, 41(3): 565-573. DOI: 10.19725/j.cnki.1007-2322.2022.0355
Citation: WANG Mingshen, PAN Yi, MIAO Huiyu, HAN Huachun, ZENG Fei, YUAN Xiaodong. Frequency Regulation Strategy of EV Aggregator Considering Various User Requirements[J]. Modern Electric Power, 2024, 41(3): 565-573. DOI: 10.19725/j.cnki.1007-2322.2022.0355

考虑用户多样化需求的电动汽车集群调频控制策略

Frequency Regulation Strategy of EV Aggregator Considering Various User Requirements

  • 摘要: 规模化电动汽车与电网互动成为重要的调频手段,针对调频互动控制无法保障用户各类需求、难以充分调动用户参与积极性的问题,提出一种保障用户多样化需求的电动汽车集群调频控制策略,以实现高比例新能源电网的频率稳定。首先,综合考虑用户交通用能、调频喜好、数据保护需求的交互影响,建立有限信息环境下电动汽车集群可调节能力的概率评估模型;进而,考虑集群调频不确定性和调频控制时长对用户延时充电的影响,提出考虑时序延时调频恢复的概率调频控制策略;最后,算例结果验证了所提出的调频控制策略在保障用户需求、降低数据保护造成的不确定性影响、提升系统频率稳定方面的有效性。

     

    Abstract: The large-scale vehicle-to-grid interactions have become an important mean for frequency regulation. In allusion to the problems that frequency regulation interactive control can not ensure various requirements of users and can not fully mobilize the enthusiasm of users to participate, a frequency regulation strategy of electric vehicle (EV) aggregator was proposed to ensure the various requirements of EV users and improve the frequency stability of the power grid with high penetration of renewable new energy. Firstly, considering the interactive influence of the users’ energy consumption of traveling, frequency regulation preference, and data protection, a probability evaluation model of the adjustable ability of EV aggregator is established under the limited information environment. Secondly, considering the influence of the uncertainty of aggregator’s frequency regulation and the duration of frequency regulation control on the delay charging of users, a probabilistic frequency regulation strategy considering the timing delay frequency regulation recovery is proposed. Finally, the results of an example verified the effectiveness of the proposed frequency regulation strategy in ensuring user requirements, reducing the impact of uncertainty caused by data protection, and improving system frequency stability.

     

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