|本期目录/Table of Contents|

[1]莫文水.基于RBF神经网络的双馈风电机组最大功率追踪控制方法[J].工业仪表与自动化装置,2024,(03):105-110.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.019]
 MO Wenshui.Research on maximum power tracking control method based on RBF neural network[J].Industrial Instrumentation & Automation,2024,(03):105-110.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.019]
点击复制

基于RBF神经网络的双馈风电机组最大功率追踪控制方法(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年03期
页码:
105-110
栏目:
出版日期:
2024-06-15

文章信息/Info

Title:
Research on maximum power tracking control method based on RBF neural network
文章编号:
1000-0682(2024)03-0105-06
作者:
莫文水
(广西现代职业技术学院,广西 河池 547000)
Author(s):
MO Wenshui
(Guangxi?Modern?Polytechnic?College, Hechi 547000, Guangxi, China)
关键词:
双馈风电机组追踪控制RBF神经网络二阶滑模控制策略PID控制器
Keywords:
double fed wind turbines tracking control RBF neural network second order sliding mode control strategy PID controller
分类号:
TM 614
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.019
文献标志码:
A
摘要:
双馈风电机组通过转子回路进行功率调节控制,当系统在最大功率点附近工作时,回路电流会出现高频振荡的问题。这种振荡会影响系统稳定性,最大功率追踪控制是解决该问题的核心手段。提出基于径向基函数(Radial Basis Function,RBF)神经网络的双馈风电机组最大功率追踪控制方法。分析双馈风电机组基本结构与运行原理,获取风电机组输出功率,并将其输入RBF神经网络输入层中,通过网络隐含层对其展开优化训练,再通过输出层输出最大功率。采用二阶滑模控制策略与比例-积分-微分(Proportion Integration Differentiation,PID)控制器相结合的方法对发电机转矩展开追踪控制,实现对双馈风电机组最大功率的追踪控制,使风电机组保持最大功率运行。实验结果表明,所提方法追踪效果好、追踪精度高、控制精度高。
Abstract:
The doubly fed wind turbine operates through a rotor circuit for power regulation control. When the system operates near the maximum power point, the circuit current will experience high-frequency oscillations. This oscillation will affect system stability, and maximum power tracking control is the core means to solve this problem. Propose a maximum power tracking control method for doubly fed wind turbines based on radial basis function (RBF) neural networks. Analyze the basic structure and operating principle of doubly fed wind turbines, obtain the output power of the wind turbine, and input it into the input layer of the RBF neural network. Optimize and train it through the hidden layer of the network, and then output the maximum power through the output layer. The method of combining second-order sliding mode control strategy with proportional integration differentiation (PID) controller is used to track the torque of the generator, achieving maximum power tracking control for doubly fed wind turbines and maintaining maximum power operation. The experimental results show that the proposed method has good tracking effect, high tracking accuracy, and high control accuracy.

参考文献/References:

[1]聂永辉,刘天宇,蔡国伟,等.基于MP-RCC的双馈风电机组低电压穿越控制研究[J].电网技术,2022,46(03):905-914.

[2]刘华志,张祥宇,李永刚,等.虚拟同步双馈风电机组的非线性联轴功率振荡抑制方法[J].中国电机工程学报,2023,43(04):1449-1463.
[3]潘海鹏,丁海波,雷美珍,等.基于遗传算法的直驱式海浪发电系统最大功率跟踪控制[J].太阳能学报,2021,42(03):221-227.
[4]买买提热依木·阿布力孜,刘谨言,项志成,等.因果图研究双馈风电系统最大功率跟踪控制[J].计算机仿真,2022,39(11):100-103+426.
[5]Priyadarshi, Neeraj, Padmanaban, et al. Internet of things augmented a novel PSO-employed modified zeta converter-based photovoltaic maximum power tracking system: hardware realisation[J]. IET Power Electronics, 2020, 13(13): 2775-2781.
[6] TOUNSI Souhir. New approach of maximum power point tracking for wind energy conversion system[J]. Wind Engineering,2022,46(6):1735-1752.
[7]杨旭红,陈阳,贾巍,等.基于RBF神经网络的电压外环滑模控制的Vienna整流器[J].电力系统保护与控制,2022,50(18):103-115.
[8]董昱,魏万鹏.基于RBF神经网络PID控制的列车ATO系统优化[J].电子测量与仪器学报,2021,3501):103-109.
[9]吴丽珍,檀泽浩,郝晓弘,等.基于梯度下降法的DAB变换器双重优化控制[J].电力电子技术,2023,57(07):120-124.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2024-01-16基金项目:2023年度广西高校中青年教师科研基础能力提升项目“基于区块链与边缘计算的车联网数据安全传输关键技术研究”(2023KY1471)第一作者:莫文水(1976—),男,壮族,广西东兰人,本科,副教授,研究方向为信自可视化、智能控制及优化。
更新日期/Last Update: 1900-01-01