Application of wavelets and Prony method for disturbance detection in fixed speed wind farms

被引：28
|
作者：
Lobos, T. [2 ]
Rezmer, J. [2 ]
Janik, P. [2 ]
Amaris, H. [1 ]
Alonso, M. [1 ]
Alvarez, C. [1 ]
机构：
[1] Univ Carlos III Madrid, Dept Ingn Elect, Madrid 28911, Spain
[2] Wroclaw Univ Technol, PL-50370 Wroclaw, Poland
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2009年 / 31卷 / 09期
关键词：
Wind farms; Voltage dips; Transients; Wavelets; Prony method; FED INDUCTION GENERATOR; TURBINE;
D O I：
10.1016/j.ijepes.2009.03.019
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：
Voltage dips and transients are the most commonly encountered power quality disturbances in wind farms. Signal parameters estimation is an important prerequisite for power quality enhancement and for improving the fault-ride capability of wind farms and consequently, the voltage stability of the whole network. This paper examines the application of advanced signal processing methodologies such as the Prony method and wavelets for disturbance detection in wind farms. Both methodologies have been effectively tested with different disturbances simulated in a dynamic power network with a large amount of wind energy and with data signals measured at wind turbine terminals. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：429 / 436
页数：8
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