A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay

被引:3
|
作者
Cui, Zhenjie [1 ]
Hu, Weihao [1 ]
Zhang, Guozhou [1 ]
Huang, Qi [2 ]
Chen, Zhe [3 ]
Blaabjerg, Frede [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 610056, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China
[3] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark
基金
中国国家自然科学基金;
关键词
Wide-area measurement system; time delayed system; model estimation; renewable energy; stochastic method; phasor measurement units;
D O I
10.1109/TPWRS.2023.3315538
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This letter presents a novel data-driven model estimation method for renewable energy source (RES) integrated system with random time delay. The proposed method exploits the theoretical properties of stochastic systems to achieve real-time estimation of the state matrix and the input matrix of a closed-loop system, and does not require any system model information. Experimental results demonstrate that compared with other phasor measurement units (PMU)-based estimation methods, the proposed method is more suitable for estimating random time delayed system and has better estimation performance.
引用
收藏
页码:5930 / 5933
页数:4
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