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[1]倪良华,肖李俊,吕干云,等.采用原子分解法的同步电机参数辨识[J].电机与控制学报,2017,21(07):66-72.[doi:10.15938/j.emc.2017.07.009]
 NI Liang-hua,XIAO Li-jun,L Gan-yun,et al.Application of atom decomposition algorithm in synchronous machine parameters identification [J].,2017,21(07):66-72.[doi:10.15938/j.emc.2017.07.009]
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采用原子分解法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:
21
期数:
2017年07
页码:
66-72
栏目:
出版日期:
2017-07-01

文章信息/Info

Title:
Application of atom decomposition algorithm in synchronous machine parameters identification
作者:
?倪良华 肖李俊 吕干云 李军
?( 南京工程学院电力工程学院,江苏南京211167)
Author(s):
?NI Liang-hua XIAO Li-jun L Gan-yun LI Jun
??( School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
关键词:
原子分解 连续相关原子库 同步电机 参数辨识 进化匹配追踪算法
Keywords:
atom decomposition continuous coherent atom dictionary synchronous machine parameters identification evolutionary matching pursuit algorithm
分类号:
TM 341
DOI:
10.15938/j.emc.2017.07.009
文献标志码:
A
摘要:
为了准确辨识出同步电机参数,提出一种基于原子分解的新算法。首先构建相关原子库并将原子离散化参数连续化,运用进化匹配追踪算法,快速从同步电机突然短路电流中提取基波电流、直流电流、倍频电流; 然后从分解的各原子信号特征参数中推算出同步电机参数。通过截取稳
态短路电流的采样信号,辨识出同步电机的同步电抗和短路初相角值。以理想突然短路电流和含噪声的短路电流为例,仿真进行了对信号的原子分解,获得了相似度较好的重构信号。较之经验模态分解( EMD) 和Prony 算法,所提出的方法对含噪声信号短路电流的分解效果更佳。实测算例表明,应用原子分解方法可准确地提取同步电机参数,且有较好的抗噪性能。
Abstract:
Aiming at accurately identifying parameters of synchronous machine,a new algorithm of atomic decomposition was presented Firstly,constructing the coherent atom dictionary and serializing the discrete parameters of atoms,evolutionary matching pursuit algorithm was adopted to extract fundamental current, the DC current and harmonic current from the sudden short circuit current quickly,and then synchronous machine parameter was derived from each atom signal characteristic properties. By cutting out the sampling signals to obtain steady short circuit current, synchronous reactance and short-circuit initial phase value of synchronous machine is identified. Both the ideal sudden short circuit current and short circuit current with noise as examples,when the simulation is carried out on the atomic decomposition of the signal, the reconstruction signal with good similarity is obtained. Compared with the empirical mode decomposition( EMD) and Prony, the proposed method has better decomposition effect on short circuit current with noise. Simulation results show that, the atomic decomposition method is less influenced by noise and has higher parameter identification precision.

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备注/Memo

备注/Memo:
收稿日期: 2016 - 06 - 16
基金项目: 国家自然科学基金( 51577086) ; 南京工程学院科研基金重点项目( ZKJ201304,CKJA201406)
作者简介: 倪良华( 1966—) ,男,副教授,研究方向为电力系统运行与控制,新能源与智能输配电技术等;
肖李俊( 1991—) ,男,硕士研究生,研究方向为电能质量分析与控制;
吕干云( 1976—) ,男,博士,教授,研究方向为电力系统运行与控制、电能质量分析等;
李军( 1985—) ,男,博士,副教授,研究方向为电力系统分析与控制、微电网运行与控制技术。
更新日期/Last Update: 2017-08-24