|本期目录/Table of Contents|

[1]孙冠群,王小东,张黎锁,等.开关磁阻风力发电机变励磁电压MPPT 控制[J].电机与控制学报,2019,23(03):113-119.[doi:10.15938/j.emc.2019.03.015]
 SUN Guan-qun,WANG Xiao-dong,ZHANG Li-suo,et al.MPPT control of excitation voltage regulation for switched reluctance wind generator[J].,2019,23(03):113-119.[doi:10.15938/j.emc.2019.03.015]
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开关磁阻风力发电机变励磁电压MPPT 控制
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
23
期数:
2019年03
页码:
113-119
栏目:
出版日期:
2019-03-15

文章信息/Info

Title:
MPPT control of excitation voltage regulation for switched reluctance wind generator
作者:
 孙冠群1 王小东2 张黎锁2 韩建霞2
 ( 1. 中国计量大学现代科技学院,杭州310018; 2. 中车永济电机有限公司,山西永济044502)
Author(s):
 SUN Guan-qun1 WANG Xiao-dong2 ZHANG Li-suo2 HAN Jian-xia2
 ( 1. College of Modern Science and Technology,China Jiliang University,Hangzhou 310018,China;2. CRRC Yongji Electric Co. ,Ltd. ,Yongji 044502,China)
关键词:
开关磁阻风力发电机 最大功率点跟踪 励磁电压 半他励功率变换器 单神经元自适应控制
Keywords:
 switched reluctance wind generator maximum power point tracking excitation voltage halfindependent-excitation power converter single neuron adaptive control
分类号:
TM 315
DOI:
10.15938/j.emc.2019.03.015
文献标志码:
A
摘要:
 针对风电工况下开关磁阻发电机( SRG) 最大功率点跟踪( MPPT) 控制变量相对较少,宽速度范围下原有开关角变量严重非线性乃至相反变化,从而使得控制难度大、控制复杂的问题,结合他励式SRG 功率变换器的优点,提出一种励磁电压相对独立可调的新型半他励功率变换器,从而励磁电压成为SRG 进行MPPT 控制的一个新变量。同时提出采用单神经元自适应控制算法跟踪最大功率,具体根据风速计算出实时最佳角速度,该最佳角速度作为给定量与实时角速度比较并作为单神经元自适应PID 控制算法的输入,单神经元自适应PID 控制算法实现MPPT 控制并输出励磁电压值,追踪最大功率。仿真与实验结果表明,不同风速变化下MPPT 的跟踪效果均较佳。
Abstract:
  For switched reluctance generator( SRG) with wind power conditions,maximum power point tracking( MPPT) control variables are relatively little,and original switching angle variables are seriously non-linear or even opposite changes in a wide speed range,which make the control difficult and complex.According to the advantages of independent-excitation SRG,a novel power converter for SRG was designed to regulate the excitation voltage independently. The excitation voltage was a new variable of MPPT control for SRG. Meanwhile,a single neuron adaptive control algorithm was proposed to track the maximum power. According to the real-time wind speed,the optimum angular velocity was calculated. And the optimum angular velocity was taken as the input of the single neuron adaptive PID control algorithm.Based on the single neuron adaptive PID control algorithm,MPPT is achieved and the excitation voltage is controlled. Simulation and experiments illustrate that tracking effect of MPPT is excellent at different wind speeds.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2018 - 04 - 20
基金项目: 浙江省基础公益项目( 2015C31119)
作者简介: 孙冠群( 1974—) ,男,硕士,副教授,研究方向为电机及其控制、风力发电电能变换技术;
王小东( 1973—) ,男,硕士,高级工程师,研究方向为风力发电机设计及测试技术;
张黎锁( 1972—) ,男,本科,高级工程师,研究方向为电机控制及测试技术;
韩建霞( 1972—) ,女,本科,高级工程师,研究方向为电机设计及控制技术。
通信作者: 孙冠群
更新日期/Last Update: 2019-03-27