摘要
针对含电动汽车(electric vehicle, EV)的多区域互联电力系统,文中提出一种基于自适应触发机制的滑模负荷频率控制(load-frequency control, LFC)策略。首先,考虑EV在电力系统频率控制中的集成,研究一次调频与二次调频对系统频率变化的影响,并分析可再生能源波动和负荷扰动对系统频率的影响。然后,设计自适应事件触发机制,以提升网络利用率,并应对网络传输中的时滞。建立非对称的李雅普诺夫泛函证明系统的渐进稳定性,并得到保守性较低的稳定性判据。最后,验证设计方案的有效性,并使用优化算法得到使EV调频最优的参与度。结果表明,文中所提控制策略在可再生新能源和负荷扰动下,能够有效提高系统的频率调节性能,且EV同时参与一次调频与二次调频对改善系统性能有显著作用。
A sliding mode load-frequency control(LFC)strategy based on an adaptive triggering mechanism is proposed for a multi-area interconnected power system with electric vehicles(EVs).Firstly,the integration of EV in the frequency control of the power system is considered,and the impacts of primary and secondary frequency control on system frequency variations are investigated.The effects of renewable energy fluctuations and load disturbances on system frequency are also analyzed.Then,an adaptive event-triggered mechanism is designed to improve network utilization and address transmission delays in the network.An asymmetric Lyapunov functional is established to prove the system's asymptotic stability,and a stability criterion with low conservatism is derived.Finally,the effectiveness of the proposed scheme is verified,and an optimization algorithm is used to design the optimal participation of EV in frequency regulation.The results show that the control strategy designed in this paper can effectively improve the frequency regulation performance of the system under renewable energy and load disturbance,and EV participation in both primary and secondary frequency modulation has a significant effect on improving the system performance.
作者
秦艺涛
张俊
张珍珍
陈昊
钟其水
张戎
QIN Yitao;ZHANG Jun;ZHANG Zhenzhen;CHEN Hao;ZHONG Qishui;ZHANG Rong(School of Electrical Engineering,Southwest Minzu University,Chengdu 610225,China;School of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,China;Chengdu HuaMod Technology Co.,Ltd.,Chengdu 610213,China)
出处
《电力工程技术》
北大核心
2025年第6期114-122,133,共10页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(72371057)
四川省科技计划资助项目(2025ZNSFSC1517)
四川省重大科技专项(2024ZDZX0040)
中央高校基本科研业务费专项资金资助项目(ZYN2024123)。
