电力建设2024，Vol.45Issue(7)：68-75,8.DOI:10.12204/j.issn.1000-7229.2024.07.006
基于系统模型在线估计的微网频率预测控制
Model Predictive Control-Based Frequency Control with Recursively Estimated System Model for Microgrids
摘要
Abstract
Frequency control is important to ensure safe and stable operation of microgrids.In an actual microgrid,owing to the variable generation of distributed energy resources,the microgrid system parameters and operating conditions change continuously.The traditional,frequency-control strategy designed based on the fixed-parameter model has poor self-adaptive capability and cannot realize real-time optimal control of the system frequency.In the new,real-time measurement data-based design,the dynamic mode-decomposition method is used to update the system model by identifying the system parameters in real time.The microgrid frequency-control strategy was designed to realize real-time,optimal,microgrid frequency regulation based on the updated system model and combined with the predictive-control method.Finally,the proposed method was simulated and verified through a detailed microgrid system using MATLAB/Simulink software.Simulation results indicate that the proposed method can correctly identify the system-state parameters and effectively control the microgrid frequency.关键词
频率控制/微电网/动态模式分解/在线估计/模型预测控制Key words
frequency control/microgrid/dynamic mode decomposition/online estimation/model predictive control分类
信息技术与安全科学引用本文复制引用
宁静波,黄媛,唐志远,王镜峣,吴国梁..基于系统模型在线估计的微网频率预测控制[J].电力建设,2024,45(7):68-75,8.基金项目
This work is supported by National Natural Science Foundation of China(No.52207127)and Fundamental Research Funds for the Central Universities(No.YJ2021163). 国家自然科学基金项目(52207127) （No.52207127）
中央高校基本科研业务费专项资金资助项目(YJ2021163) （YJ2021163）
