摘要
模型预测控制(model predictive control,MPC)是一种先进的优化算法,其优势在于通过滚动优化和反馈校正弥补预测模型精度不高的缺点,抑制扰动,提高鲁棒性。近年来已成为应对大规模风电并网不确定性建模的研究热点。该文全面梳理基于模型预测控制的大规模风电并网的电力系统有功功率控制领域中的发展现状,特别是对以随机模型预测控制、分布式模型预测控制和鲁棒模型预测控制为主要形式的模型预测控制方法在应对不确定性建模问题方面进行深入分析,以风电机组-风电场-风电集群与常规电源有功和频率控制为主线,阐述模型预测控制方法的优点和缺点并加以评述,并对MPC的分解协调策略和求解效率进行归纳和总结。最后凝练了若干个基于MPC的大规模风电并网关键问题,并展望了MPC在电力系统控制应用的研究方向。
Model predictive control(MPC)was a state-ofthe-art optimization algorithm,which had the advantages of compensating for low prediction accuracy,suppressing disturbance and improving robustness by rolling optimization and feedback correction.In recent years,it has become a research hotspot to deal with uncertainty modeling of system integration of large-scale wind power.A comprehensive review of state-of-the-art and new development of the MPC was introduced in the field of wind power control.In particular,stochastic MPC,distributed MPC and robust MPC had been analyzed in-depth to deal with uncertain modeling problems.Taking wind turbine-wind farm-wind farm cluster and thermal power unit active power and frequency control as an example,the advantages and disadvantages of MPC were fully discussed.Further,the decomposition-coordination strategy and solution efficiency of MPC were reviewed.Finally,several key scientific topics of large-scale wind power integration based on MPC were summarized,and the future research direction of MPC was given.
作者
叶林
路朋
赵永宁
戴斌华
汤涌
YE Lin;LU Peng;ZHAO Yongning;DAI Binhua;TANG Yong(College of Information and Electrical Engineering(China Agriculture University),Haidian District,Beijing 100083,China;State Key Laboratory of Power Gird Safety and Energy Conservation(China Electric Power Research Institute),Haidian District,Beijing 100192,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2021年第18期6181-6197,共17页
Proceedings of the CSEE
基金
国家电网有限公司科技项目(5100-201955009A-0-0-00)
国家自然科学基金项目(51977213)。
关键词
模型预测控制
不确定性建模
滚动优化
反馈校正
model predictive control(MPC)
uncertainty modeling
rolling optimization
feedback correction
作者简介
叶林(1968),男,教授,博士生导师,德国洪堡学者。主要研究方向为电力系统自动化、新能源电力系统运行与控制技术,yelin@cau.edu.cn;路朋(1989),男,博士研究生,主要研究方向为电力系统运行与控制、新能源发电技术,lupeng@cau.edu.cn;赵永宁(1990),男,副教授,研究方向为新能源功率预测与并网、综合能源系统运行优化,zyn@cau.edu.cn;汤涌(1959),男,博士,教授级高级工程师,博士生导师,研究方向为电力系统仿真分析和稳定控制,tangyong@epri.sgcc.com.cn。
