基于模糊控制和神经网络的永磁同步风力发电系统最大功率点跟踪转子转速控制器

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection Pub Date : 2023-10-01 DOI:10.1016/j.gloei.2023.10.004

Min Ding , Zili Tao , Bo Hu , Meng Ye , Yingxiong Ou , Ryuichi Yokoyama

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引用次数: 0

摘要

在永磁同步风力发电系统中，当风速发生显著变化时，无法及时确定最大功率点。本文提出了一种基于模糊控制的最大功率参考信号搜索方法，该方法是对爬升搜索方法的改进。提出了一种基于神经网络的参数调节器来解决外部风速波动问题，其中调整比例积分控制器的参数，以准确监测不同风速条件下的最大功率点。最后，通过Simulink仿真验证了该方法的有效性

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A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system

When the wind speed changes significantly in a permanent magnet synchronous wind power generation system, the maximum power point cannot be easily determined in a timely manner. This study proposes a maximum power reference signal search method based on fuzzy control, which is an improvement to the climbing search method. A neural network-based parameter regulator is proposed to address external wind speed fluctuations, where the parameters of a proportional-integral controller is adjusted to accurately monitor the maximum power point under different wind speed conditions. Finally, the effectiveness of this method is verified via Simulink simulation

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来源期刊

Global Energy Interconnection Engineering-Automotive Engineering

CiteScore

5.70

自引率

0.00%

发文量

985

审稿时长

15 weeks