无刷双馈感应电机耦合电路模型仿真研究

Qiwei DUAN; Tao SUN; Hongliang HAO; Hongfei ZHU; Zhenfeng LEI; Tianqi XIA

doi:10.16513/j.2096-2185.DE.2207108

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分布式能源 ›› 2022, Vol. 7 ›› Issue (1) : 63-68. DOI: 10.16513/j.2096-2185.DE.2207108

应用技术

无刷双馈感应电机耦合电路模型仿真研究

作者信息 +

Study on Coupling Circuit Model Simulation of Brushless Doubly-Fed Induction Machine

Author information +

文章历史 +

本文亮点

无刷双馈电机是一种特殊结构的电机，只需较小的变流器容量即可实现多种运行模式的变速运行，同时由于其没有电刷和滑环装置，相比普通双馈感应电机具有更高的稳定性和更低的维护成本，在风电领域被认为有潜力可以替代双馈电机作为风力发电机的主流机型，同时可以应用在变载恒速工况下。无刷双馈电机的控制策略是目前的主要研究方向，而要实现高性能控制则需要精准的电机模型。目前无刷双馈电机的仿真模型主要为d-q坐标轴建模，其参数均为定转子的平均参数值，模型较为简单，同时没有考虑转子的特殊结构。对特殊笼型转子无刷双馈感应电机的耦合电路模型进行了仿真建模，并进行了开环仿真实验，结果表明了该仿真模型可以很好地反映无刷双馈感应电机的动态特性。

HeighLight

Brushless doubly-fed machine (BDFM) which has a special architecture realizes variables speed operation by using fractionally rated converter, and confers higher reliability and requires lower maintenance than the doubly-fed induction machines (DFIM). In the field of wind power, it is considered to have the potential to replace DFIM, in addition, it can be applied to speed adjustment with varying frequency. The control strategies of the BDFM has been one of the main research directions in the world, and the intelligent control strategies requires accurate models. At present, the simulation model of BDFM is mainly based on the d-q coordinate axis, and its parameters are the average values of the stator and rotor. The model is relatively simple, and the special structure of the rotor is not considered. This article is for BDFM with nested-loop rotor which the dynamic simulation model based on the coupled circuit model is created, and the open-loop experiment is conducted, the experimental results show the dynamic performance of the coupled circuit model.

导出引用

Qiwei DUAN, Tao SUN, Hongliang HAO, 等. 无刷双馈感应电机耦合电路模型仿真研究[J]. 分布式能源. 2022, 7(1): 63-68 https://doi.org/10.16513/j.2096-2185.DE.2207108

Qiwei DUAN, Tao SUN, Hongliang HAO, et al. Study on Coupling Circuit Model Simulation of Brushless Doubly-Fed Induction Machine[J]. Distributed Energy Resources. 2022, 7(1): 63-68 https://doi.org/10.16513/j.2096-2185.DE.2207108

中图分类号： TM743

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