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| The New Method Based on Improvement EMD End Effect for Power Quality Analysis |
| Guo Yanwei, Jin Tao |
| School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108 |
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Abstract The thesis aim at the end effect problem of empirical mode decomposition (EMD), put forward a new method based on extreme point symmetry continuation to process endpoint. Through connecting two adjacent maximum or minimum points of short-time signal sequence boundaries, comparing its corresponding value in the boundary with the value in endpoint, according to the enveloping principle to select one as the maximum or minimum value of border, then carry on the EMD decomposition. Applies this method to the power system harmonic identify, the simulation results show that this method can improve the EMD end effect effectively and identify harmonic modes of the signal accurately.
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Published: 23 January 2014
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[1] 倪以信, 陈寿孙, 张宝霖. 动态电力系统的理论和分析[M]. 北京: 清华大学出版社, 2002.
[2] 束洪春. 电力工程信号处理应用[M]. 北京: 科学出版社, 2009.
[3] N. E. Huang, Wendong Qu and Steven R. Long. Application of Hilbert-Huang transform to non-stationary financial time series analysis. Applied Stochastic Models in Business and Industry[J]. Vol. 19, pp. 245-268, 2003.
[4] 李天云, 高磊. 基于HHT的电力系统低频振荡分析[J]. 中国电机工程学报, 2006, 26(14): 24-30.
[5] 黎洪生, 吴小娟, 葛源. EMD信号分析方法端点问题的处理[J]. 电力自动化设备, 2005, 25(9): 47-49.
[6] 杨德昌, C. Rehtanz, 等. 基于改进希尔伯特-黄变换算法的电力系统低频振荡分析[J]. 中国电机工程学报, 2010, 31(10): 102-108. |
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2013, Vol. 14 
