基于模型预测双馈电机低开关频率下控制  

Low Switching Frequency Control of Double-fed Induction Generator Based on Model Predictive Control

作　　者：王云飞[1] 张兴[1] 谢震[1] 

机构地区：[1]合肥工业大学,电气与自动化工程学院,安徽合肥230009

出　　处：《电力电子技术》2017年第7期47-50,共4页Power Electronics

摘　　要：提出了一种基于多目标优化函数的模型预测控制(MPC)方法,有效控制双馈感应发电机(DFIG)有功、无功电流,与传统矢量控制相比,该控制方法通过目标函数对开关频率进行优化,减小电流纹波的同时降低开关频率。同时在11 kW的DFIG平台上进行了仿真和实验,结果表明所提方法在变换器开关频率较低的同时仍然具有良好的控制性能。A multi-objective optimization model based on model predictive control（MPC） method which has a better control performance for positive and negative currents of double-fed induction generator（DFIG） is presented.Compared with the conventional vector control, it optimizes the switching frequency through the multi-objective function which has better steady state and dynamic response performances.Simulation and experimental results of 11 kW DFIG platform show that the proposed method has a good control performance at lower converter switching frequency.

关 键 词：双馈感应发电机 模型预测控制 低开关频率 

分 类 号：TM31[电气工程—电机]