Online Identification Based on Time-Frequency Transformation for Equivalent Virtual Inertia Constant of Wind Farm

被引：0
作者：
Zhang, Xu [1 ]
Sun, Dan [1 ]
Nian, Heng [1 ]
Lv, Zhenhua [2 ]
Fu, Xiangyun [2 ]
机构：
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Peoples R China
[2] State Grid Jiangsu Elect Power Co Ltd, Res Inst, Nanjing, Peoples R China
来源：
2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022) | 2022年
关键词：
Inertia identification; Wind farm; Equivalent virtual inertia constant; Time-frequency transformation; SYSTEM;
D O I：
10.1109/ICEMS56177.2022.9983215
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：
With the wide application of wind power systems, inertia identification of wind farm (WF) with virtual inertia control is more and more important. In this paper, a time-frequency transformation method is proposed to identify the equivalent virtual inertial constant of WF online. The inertia contribution of WF to grid is expressed quantitatively by using active power deviation and frequency deviation. The simulation model is established based on Matlab/Sinmulink to verify the correctness of the proposed identification algorithm. The equivalent virtual inertia constant of WF is identified under various wind speeds, which proves the effectiveness of the proposed algorithm.
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页数：5
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