[1]张文娟.带自调整因子的双馈风力发电空载并网模糊控制[J].机械与电子,2018,(05):50-53.
 ZHANG Wenjuan.Fuzzy Control for No-Load Cutting-in of Doubly-Fed Wind Power Generator with Self-Tuning Factor[J].Machinery & Electronics,2018,(05):50-53.
点击复制

带自调整因子的双馈风力发电空载并网模糊控制
分享到:

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年05期
页码:
50-53
栏目:
自动控制与检测
出版日期:
2018-05-24

文章信息/Info

Title:
Fuzzy Control for No-Load Cutting-in of Doubly-Fed Wind Power Generator with Self-Tuning Factor
文章编号:
1001-2257(2018)05-0050-04
作者:
张文娟
(宝鸡文理学院电子电气工程学院,陕西 宝鸡 721007)
Author(s):
ZHANG Wenjuan
(School of Electron and Electricity Engineering, Baoji University of Arts and Sciences, Baoji 721007,China)
关键词:
自调整因子 双馈发电机 空载并网 模糊控制
Keywords:
self- tuning factor doubly-fed induction generator no-load cutting-in fuzzy control
分类号:
TM315
文献标志码:
A
摘要:
双馈风力发电要求机组安全平稳快速实现并网过程,传统的PID控制依赖于双馈电机精确数学模型,将模糊PID控制器应用于双馈电机的空载并网过程中。针对并网起始及稳态阶段定子与电网不同电压差对控制器的不同要求,提出了带自调整因子的空载并网模糊PID控制器,该控制器能根据电压偏差大小自动分配不同的调整因子,使模糊论域随着输入信号的变化而变化。所提策略在10 kW双馈风力发电模拟平台上进行了实验验证,通过与常规的模糊控制空载并网实验结果相比较,带自调整因子控制器能使定子电压快速、准确的跟踪电网电压,并网过渡过程短暂,定子电流冲击小。
Abstract:
Doubly-fed wind power generation requires a safe and fast grid cutting-in, yet the traditional PID control depends much on the precise mathematical model of the doubly-fed induction generator(DFIG). In this study, the fuzzy PID controller is applied to the no-load cutting-in control of the DFIG. In the start and steady stages of no-load cutting-in, there is voltage deviation between the stator and the grid, which holds different requirements for the controller. To meet the requirements, this paper proposes a kind of fuzzy PID controller with the self-tuning factor. It can automatically distribute the different tuning factors according to voltage deviation, so as to realize the self-tuning of fuzzy control domain according to the input signal. The proposed control strategy is verified on a 10 kW DFIG experimental platform. The controller with the self-tuning factor can make the stator voltage track the grid voltage quickly and accurately compared with the conventional fuzzy controller, thus, the transition process of no-load cutting-in is short, and the impact current of the stator is small.

参考文献/References:

[1]张文娟,高勇. 引入比例-谐振控制器的双馈风电机组空载并网控制[J]. 电力系统自动化, 2011, 35(18): 25-30.
[2]刘其辉,贺益康,卞松江. 变速恒频风力发电机空载并网控制[J].中国电机工程学报,2004,24(3):6 - 11.
[3]刘其辉,贺益康,张建华.交流励磁变速恒频风力发电机的运行控制与建模仿真[J].中国电机工程学报, 2006, 26(5): 43-50.
[4]吕艳玲,冯曦,朱博,等.双馈风力发电机 BP 神经网络并网策略研究[J].哈尔滨理工大学学报,2017,22(5): 40-45.
[5]陈炜,肖丹,王慧敏,等.双馈风力发电系统空载并网模糊PI控制[J]. 太阳能学报, 2009, 30(6): 794-798.
[6]张文娟.变速恒频风力发电系统及其控制研究[D].西安:西安理工大学,2011.
[7]田永贵,王 奔,李小明,等. 基于自抗扰的变速恒频双馈风力发电机并网控制研究[J]. 四川电力技术,2015, 38(2 ): 67-72.
[8]范钦民,闫飞,张翠芳,等. 基于模糊控制的光伏MPPT算法改进[J].太阳能学报,2017, 38(3 ): 2151-2158.
[9]万庆祝,张翃帆. 基于模糊控制与自适应步长相结合的光伏发电系统最大功率点跟踪研究[J]. 电气工程学报,2017, 12(3 ): 33-40.

备注/Memo

备注/Memo:
收稿日期:2018-01-10
基金项目:国家自然科学基金项目(51207002);陕西省科技厅工业攻关项目(2013K07-12,2014K06-28);陕西省教育厅专项科研计划项目(17JK0049)
作者简介:张文娟(1981-),女,宝鸡扶风人,博士,副教授,研究方向为变速恒频风力发电技术。
更新日期/Last Update: 2018-05-24