[1]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,(05):40-45.[doi:10. 15938 /j. jhust. 2017. 05. 008]
 Lv Yan-ling,FENG Xi,ZHU Bo,et al.Research on Grid Connection Strategy Based on BP Neural Network PID Control for the Doubly-Fed Induction Generator[J].哈尔滨理工大学学报,2017,(05):40-45.[doi:10. 15938 /j. jhust. 2017. 05. 008]
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双馈风力发电机 BP 神经网络并网策略研究()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2017年05期
页码:
40-45
栏目:
材料科学与工程
出版日期:
2017-10-25

文章信息/Info

Title:
Research on Grid Connection Strategy Based on BP Neural Network PID Control for the Doubly-Fed Induction Generator
文章编号:
1007- 2683( 2017) 05- 0040- 06
作者:
吕艳玲 冯 曦 朱 博 卢健强
哈尔滨理工大学 电气与电子工程学院,黑龙江 哈尔滨 150080
Author(s):
Lv Yan-ling FENG Xi ZHU Bo LU Jian-qiang
School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150080,China
关键词:
风力发电机 双馈发电机 空载并网 BP 神经网络 PID 控制
Keywords:
wind power generator doubly-fed induction generator no-load grid connected control BP neural network PID control
分类号:
TM315
DOI:
10. 15938 /j. jhust. 2017. 05. 008
文献标志码:
A
摘要:
针对变速恒频双馈发电并网系统,将传统 PID 控制与 BP 神经网络控制相结合,提出了一种 BP 神经网络 PID 的空载并网控制策略。在此基础上,利用该控制策略对双馈风力发电系统空载并网过程进行了研究,并与传统 PI 控制策略进行比较。研究结果表明,并网 BP 神经网络PID 控制策略的动态响应快,并网过渡过程短,稳态精度高,对电网电压的波动具有较强的全局鲁棒性,是一种优良的并网控制策略。
Abstract:
Based on the combination of the traditional PID control technique and the BP neural network control technique,a no-load grid connected control strategy,BP neural network PID control strategy,was proposed for the variable speed constant frequency wind-power system with doubly-fed induction generator. On the basis,the paper studied the process of no-load grid connection for the Double Fed Induction Generator with the control strategy , and compared PI control strategy with BP neural network PID control strategy. The result shows that the dynamic response of the BP neural network PID control strategy is faster,and the transition process of cutting-in is short, steady-state is more accurate,the strategy also provides stronger global robustness against voltage fluctuations, which makes it an excellent grid connection control strategy.

相似文献/References:

[1]时献江,罗建,宫秀芳.无传感器诊断方法及在风力发电中的应用与展望[J].哈尔滨理工大学学报,2014,(06):82.
 SHI Xian-jiang,LUO Jian,GONG Xiu-fang.Application of Sensor一less Diagnosis Approaches in the Wind Turbine Generator[J].哈尔滨理工大学学报,2014,(05):82.

更新日期/Last Update: 2017-11-17