|本期目录/Table of Contents|

[1]郭欣欣,陆华才,陈亚辉,等.基于 EMD-SG 和信息熵矩阵束的同步电机参数辨识[J].电机与控制学报,2016,20(12):25-31.[doi:DOI: 10. 15938 /j. emc. 2016. 12. 004]
 GUO Xin-xin,LU Hua-cai,CHEN Ya-hui,et al. Parameter identification of synchronous generator based on EMD-SG and information entropy matrix pencil algorithm[J].,2016,20(12):25-31.[doi:DOI: 10. 15938 /j. emc. 2016. 12. 004]
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基于 EMD-SG 和信息熵矩阵束的同步电机参数辨识(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
20
期数:
2016年12
页码:
25-31
栏目:
出版日期:
2016-12-01

文章信息/Info

Title:
 Parameter identification of synchronous generator based on EMD-SG and information entropy matrix pencil algorithm
作者:
郭欣欣1 陆华才1 陈亚辉2 田丽1
 1.安徽工程大学 电气工程学院,安徽 芜湖 241000; 2.国家电力公司 河南省电力公司鹤壁供电公司,河南 鹤壁 458000
Author(s):
GUO Xin-xin1 LU Hua-cai1 CHEN Ya-hui2 TIAN Li1
 ( 1. Electrical Engineering School of Anhui Polytechnic University,Wuhu 241000,China; 2. State Grid Henan Electric Power Company Hebi Power Supply Branch Company ,Hebi 458000,China)

关键词:
参数辨识 同步电机 经验模态分解 信息熵 矩阵束算法
Keywords:
parameter identification synchronous generator empirical mode decomposition information entropy matrix pencil algorithm
分类号:
TM 341
DOI:
DOI: 10. 15938 /j. emc. 2016. 12. 004
文献标志码:
A
摘要:
 为了解决工程实际中准确获得同步电机瞬态及超瞬态参数问题,提出经验模态分解与矩阵束算法相结合的新型同步电机参数识别法。该方法借助 EMD 对采集到的含噪短路电流信号进行分解,采用 Savitzky-Golay 滤波器对高频分量部分进行平滑降噪预处理,借此提高其信噪比; 为较好识别短路电流模态阶数,将信息熵引入矩阵束并将此改进矩阵束算法用以提取预处理后的短路电流各分量的频率和阻尼,进而识别出同步电机的瞬态参数。同步发电机三相突然短路仿真与试验参数辨识结果均表明,该方法在信噪比低于 24 dB 时,仍能快速、精确地辨识同步电机参数。
Abstract:
In order to obtain accurate value of the generator parameters,especially transient and sub-tran-sient parameters to satisfy the increasingly sophisticated simulation requirements of the power system,an empirical mode decomposition,savitzky-golay filtering and information entropy matrix pencil based method is proposed. It pretreated the short-circuit current by noise with the empirical mode decomposition to im-prove its signal to noise ratio. Then information entropy matrix pencil algorithm was used to extract the fre-quency and damping of each component of short-circuit current. Meanwhile,the transient parameters of synchronous generator were determined with higher accuracy by some simple calculations. Simulation and experiment results show that the proposed method has advantages of high parameter identification accuracy and strong anti-interference ability.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 郭欣欣( 1980—) ,女,硕士,副教授,研究方向为微电网及电力系统信号处理;
陆华才( 1975—) ,男,博士,教授,硕士生导师,研究方向为电机控制、电机优化设计;
陈亚辉( 1987—) ,男,硕士研究生,研究方向为电力系统调度自动化;
田 丽( 1962—) ,女,教授,硕士生导师,研究方向为复杂系统控制及参数辨识。
更新日期/Last Update: 2017-02-27