LVRT optimal control of DFIG using rotor series double dynamic resistance based on fuzzy switching

被引：0
|
作者：
Zhang W. [1 ]
Ma H. [2 ]
Zhang F. [1 ]
Han Z. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, Baoji University of Arts and Sciences, Baoji
[2] School of Computer Science, Shaanxi Normal University, Xi'an
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 07期
基金：
中国国家自然科学基金;
关键词：
DFIG; Fuzzy switching; LVRT; Optimization; Rotor series double dynamic resistance;
D O I：
10.16081/j.epae.202105005
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the rotor series single resistance of DFIG(Doubly-Fed Induction wind Generator) cannot meet the demand of high performance LVRT(Low-Voltage Ride-Through). A LVRT optimal control of DFIG using rotor series double dynamic resistance based on fuzzy switching is proposed. A mathematical model for the rotor series damping resistance is established during LVRT period. The relationships between the series resistance and rotor flux linkage, current, voltage and temperature are analyzed. According to the logical relationship between different voltage sag depths and rotor currents, the fuzzy controller of rotor series double dynamic switching signal is designed to control its switching state comprehensively, in detail and precisely. Simulative and experimental results demonstrate that the proposed control strategy can quickly and accurately select corresponding series resistance according to different voltage sag depths and rotor current amplitudes, effectively suppress rotor over-current and DC bus over-voltage during LVRT period and reduce the active power consumed by the rotor series resistances, which promotes quick recovery of power grid voltage sag and enhances the overall unit security during LVRT period. © 2021 Electric Power Automation Equipment Editorial Department. All right reserved.
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页码：58 / 64
页数：6
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