Multi-objective Control of Dual-cage-rotor Brushless Doubly Fed Induction Generator Under Unbalanced Grid Voltage

被引：0
|
作者：
Cao Z. [1 ]
Cheng M. [1 ]
Yan X. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Jiangsu Province, Nanjing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2024年 / 44卷 / 01期
基金：
中国国家自然科学基金;
关键词：
dual-cage-rotor brushless doubly fed induction generator; multi-objective model; particle swarm optimization; simplified vector control; unbalanced grid voltage;
D O I：
10.13334/j.0258-8013.pcsee.222177
中图分类号：
学科分类号：
摘要：
This paper focuses on a dual-cage-rotor brushless doubly fed induction generator (DCR-BDFIG). In order to suppress the power oscillations and imbalanced current of power winding (PW) caused by unbalanced grid voltage, a simplified vector control strategy based on single current loop is proposed, which can realize one of three selectable control targets including suppressing the PW active power oscillation, PW reactive power oscillation and PW imbalanced current. Then based on the presented unified control winding (CW) current expressions, relationships of three alternative control targets are analyzed. After that, by optimizing the coefficients in unified CW current expressions, the multi-objective control model of PW active and reactive power oscillation is established with restriction of the vector unbalanced degree (VUD) of PW current, and solved by particle swarm optimization (PSO) algorithm to calculate the reference CW currents. Finally, the effectiveness of the proposed control strategy, and the accuracy of theory derivation are validated by simulation and experiment. © 2024 Chinese Society for Electrical Engineering. All rights reserved.
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页码：293 / 303
页数：10
相关论文
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