电力系统保护与控制2026，Vol.54Issue(2)：36-47,12.DOI:10.19783/j.cnki.pspc.250309
考虑参数不确定性的新型电力系统分布式模型预测AGC方法研究
Distributed model prediction AGC method for new power systems considering parameter uncertainty
摘要
Abstract
With the continuously increasing penetration of renewable energy,new power systems are increasingly characterized by reduced rotational inertia and heightened parameter variability.Relying solely on traditional frequency regulation resources may therefore lead to insufficient frequency control capability.Power-electronic-based frequency regulation resources offer much faster response speeds,providing an opportunity to realize rapid frequency regulation in new power systems.Accordingly,this paper proposes a coordinated frequency regulation strategy combining power-electronic-based distributed frequency regulation resources with conventional synchronous generators.However,power-electronics-based units exhibit pronounced distributed characteristics,and as renewable energy penetration fluctuates,system inertia and frequency response characteristics also change accordingly.To address these issues,a novel distributed model predictive automatic generation control(AGC)strategy for new power systems is developed,which accommodates parameter uncertainty and is suitable for distributed,heterogeneous,multi-source coordinated frequency regulation.The proposed distributed model predictive control strategy can fully exploit the fast frequency regulation potential of rapid-response resources,enabling prompt suppression of system frequency fluctuations.Moreover,an online event-triggered parameter identification method is designed to ensure that,when key system parameters undergo significant changes,the model predictive controller can timely update system parameters to achieve accurate predictive control.Finally,simulation studies under various scenarios demonstrate that the proposed method significantly enhances frequency regulation performance and achieves the expected outcomes.关键词
新型电力系统/自动发电控制/快速调频资源/分布式模型预测控制/在线事件触发参数辨识Key words
new power system/automatic generation control/fast frequency regulation resources/distributed model predictive control/online event-triggered parameter identification引用本文复制引用
李忠文,李夏乐,柏宁宁,程志平,刘晓宇..考虑参数不确定性的新型电力系统分布式模型预测AGC方法研究[J].电力系统保护与控制,2026,54(2):36-47,12.基金项目
This work is supported by the General Program of National Natural Science Foundation of China(No.62273312). 国家自然科学基金面上项目资助(62273312) （No.62273312）
河南省优秀青年科学基金项目资助(232300421094) （232300421094）
中原科技创新青年拔尖人才项目资助 （）
郑州大学博士后科学基金项目资助(22120016) （22120016）
