• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于HHT的电力系统低频振荡监测器的研究
The Study on MonitorSof Power System Low Frequency Oscillation Based onHHT Method
Received:March 19, 2014  Revised:March 19, 2014
DOI:
中文关键词: 希尔伯特-黄变换  经验模态分解  电力系统低频振荡  监测器
英文关键词: HHT, Empirical  Mode Decomposition (EMD), Power  System Low  Frequency Oscillation, monitor
基金项目:内蒙古自治区高等学校科学研究项目(NJZY14165)
Author NameAffiliationE-mail
YANG Pei-hong School of Information Engineering,Inner Mongolia University of Science and Technology yph_1025@163.com 
YUE Li-hai* School of Information Engineering,Inner Mongolia University of Science and Technology 839684848@qq.com 
kang lan .School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology  
wang guo ping School of Information Engineering, Inner Mongolia University of Science and Technology  
Hits: 1969
Download times: 901
中文摘要:
      针对电力系统区域联络线上发生低频功率振荡问题,本文提出一种能够快速精确地分解出振荡模态参数的低频振荡监测器;低频振荡监测器的核心是一种改进的希尔伯特-黄变换(Hilbert-Huang transform,HHT)算法,该算法通过给在线录波数据叠加整周期余弦信号,使预处理信号的两端为极值点,解决了EMD分解过程中的“端点效应”问题,通过MATLAB仿真验证了该方法的有效性。
英文摘要:
      Aimed to solve the problem--power systemSSlow frequency oscillationSin area main lines,Sthis paper presents aSdecomposition of power systemSlow frequency oscillationSwhich canS monitorSvibrationS modal parametersSquickly and accurately;SThe coreSof low frequency oscillationSmonitorSis an improved Hilbert-Huang transformS(Hilbert-HuangStransform,SHHT)Salgorithm,Sthe algorithmSthrough the onlineSrecord data superposition integral cycle cosine both ends of the signal,Ssignal preprocessingSis the extreme point. The method has solved the EMDSdecompositionSprocess of "end effect" problem;Sthrough the MATLAB simulationSverifies the effectiveness of the proposed method.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd