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

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2023年 / 38卷 / 06期

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

页码：5930 / 5933

页数：4

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