Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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基于EEMD和Prony方法的次同步振蕩分析

來源:電工電氣發布時間:2021-03-26 14:26 瀏覽次數:20
基于EEMD和Prony方法的次同步振蕩分析
 
馬曉騰1,顧煜炯1,楊曉峰2
(1 華北電力大學 能源動力與機械工程學院,北京 102206;2 中國華能集團清潔能源技術研究院有限公司,北京 102209)
 
    摘 要:Prony是電力系統振蕩分析中常用的一種方法,但其對噪聲數據異常敏感,針對這一問題,提出基于集合經驗模態分解(EEMD)與Prony的聯合分析方法用于分析電力系統次同步振蕩問題。利用EEMD對含噪聲信號進行分解,去除其中的高頻噪聲分量,同時有效解決經驗模態分解(EMD)去噪時的模態混頻問題,得到平穩信號后利用Prony可準確識別次同步振蕩的特征參數,將該聯合分析方法用于某300 MW汽輪發電機組的次同步振蕩分析中,驗證了其抗噪性強和準確度高的優點。
    關鍵詞:次同步振蕩;Prony方法;噪聲;集合經驗模態分解;汽輪發電機組
    中圖分類號:TM311     文獻標識碼:A     文章編號:1007-3175(2021)03-0020-05
 
Subsynchronous Oscillation Analysis Based on Ensemble Empirical Mode Decomposition and Prony Method
 
MA Xiao-teng1, GU Yu-jiong1, YANG Xiao-feng2
(1 School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China;
2 China Huaneng Group Clean Energy Research Institute, Beijing 102209, China)
 
    Abstract: Prony method is used commonly in power system oscillation analysis, but it abnormally sensitive to noise data. A method based on ensemble empirical mode decomposition(EEMD) and Prony is proposed to solve this problem and is used to analyze subsynchronous oscillation of power system. Use EEMD to decompose the noisy signal, remove the high-frequency noise component, and effectively solve the modal mixing problem in empirical mode decomposition(EMD) denoising; after obtaining the stable signal, Prony can accurately identify the characteristic parameters of the subsynchronous oscillation. The joint analysis method is used in the subsynchronous oscillation analysis of a 300 MW steam turbine generator unit, which verifies the advantages of strong noise resistance and high accuracy.
    Key words: subsynchronous oscillation; Prony method; noise; ensemble empirical mode decomposition; steam turbine generator
 
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