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Hilbert-Huang变换理论在电力系统中的应用研究 被引量:1

Research on the Application of Hilbert-Huang Transform Theory to Power System
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摘要 主要根据本课题组近几年Hilbert-Huang变换(HHT)理论及其在电力系统信号分析领域应用的研究成果,综述了HHT理论在电能质量检测、电力系统谐波分析、电力系统低频振荡、同步电机参数辨识、局部放电信号检测等问题的应用,并探讨了HHT理论应用的进一步研究的方向:低频振荡在线分析,同步电机参数辨识精度的提高,窄带噪声、随机脉冲等干扰下的局部放电信号在线检测等问题。 On the basis of the research results of Hilbert-Huang Transform and the application of it to the field of power system signal analysis in recent years , this paper summaries the study .of power quality analysis, the harmonic identification, power system low frequency oscillations, parameter identification of synchronous machine, the partial discharge (PD) signal monitoring . The more study content is indicated in power system that is on-line analysis of low frequency oscillations, precision enhancement of parameter identification of synchronous machine, on-line monitoring of the partial discharge signal under narrow band noise, stochastic pulse.
作者 赵妍 董爽
机构地区 东北电力大学
出处 《吉林电力》 2007年第6期6-9,共4页 Jilin Electric Power
关键词 Hilbert-Huang变换(HHT) 电能质量 谐波 低频振荡 同步电机参数辨识 局部放电信号检测 Hilbert-Huang transform power quality harmonic low frequency oscillations parameter identification of synchronous machine partial discharge (PD) signal monitoring
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  • 1覃剑.输电线路单端行波故障测距的研究[J].电网技术,2005,29(15):65-70. 被引量:86
  • 2鲁文,徐晨亮,丁孝华,孙国城,徐石明.一种考虑分布电容的模糊故障测距算法[J].电力系统自动化,2006,30(8):57-60. 被引量:15
  • 3郭俊宏,杨以涵,谭伟璞,孙建锋,游耀丽.中压配电网的故障测距实用化方法[J].电网技术,2006,30(8):76-80. 被引量:31
  • 4陈玥云,覃剑,王欣,陈树勇,张冰冰,于玉泽.配电网故障测距综述[J].电网技术,2006,30(18):89-93. 被引量:58
  • 5Murari M, Bogdan K, Eugniusz R, et al. First zone algorithm for protection of series compensated lines[J]. IEEE Transactions on Power Delivery, 2001, 16(2): 200-207.
  • 6浙江省电力中心实验所高压实验组,浙江大学发电教研室.串联电容补偿装置在电力系统中的应用[M].北京:水利电力出版社,1976:41-125.
  • 7Komm R W, Hill F, Howe R. Empirical mode decomposition and Hilbert analysis applied to rotation residuals of the solar convection zone[J]. Astrophysical Journal, 2001, 558(1): 428-441.
  • 8Loh C H, Wu T C, Huang N E. Application of the empirical mode decomposition-Hilbert spectrum method to identify near-fault ground-motion characteristics and structural responses[J]. Bulletin of the Seismological Society of America, 2001, 91(5): 1339-1357.
  • 9Xu Wenshang, Wang Wenwen, Zhang Ni. Research on the method of diagnosing fault and locating fault sources using neural network[C]. Conference on Intelligent Computation Technology and Automation, Changsha, China, 2008.
  • 10Yuan Chao, Zeng Xiangjun, Xia Yunfeng. Improved algorithm for fault section location in distribution network with distributed generations[C]. International Conference on Intelligent Computation Technology andAutomation, Changsha, China, 2008.

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