现代电力2024，Vol.41Issue(3)：565-573,9.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
Abstract
The large-scale vehicle-to-grid interactions have be-come 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 mo-bilize the enthusiasm of users to participate,a frequency regula-tion 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 influ-ence of the users'energy consumption of traveling,frequency regulation preference,and data protection,a probability evalu-ation model of the adjustable ability of EV aggregator is estab-lished under the limited information environment.Secondly,considering the influence of the uncertainty of aggregator's fre-quency regulation and the duration of frequency regulation con-trol on the delay charging of users,a probabilistic frequency regulation strategy considering the timing delay frequency reg-ulation 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.关键词
电动汽车/入网状态/电动汽车集群/多样化需求/频率控制/状态恢复Key words
electric vehicle(EV)/grid-connecting state/EV aggregator/various requirements/frequency regulation/state recovery分类
信息技术与安全科学引用本文复制引用
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):565-573,9.基金项目
国家自然科学基金项目(52107099) （52107099）
中国博士后科学基金项目(2021M690810,2022T150152).Project Supported by National Natural Science Foundation of China(52107099) （2021M690810,2022T150152）
China Postdoctoral Science Foundation(2021M690810,2022T150152).国网江苏省电力公司科技项目—新能源电力系统电动汽车集群互动技术研究与试验验证(J2021186)对本文的研究提供了资助,谨此深表感谢. （2021M690810,2022T150152）
