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电网技术  2010 

基于自适应神经模糊滤波的低频振荡Prony分析

, PP. 53-58

Keywords: 低频振荡,有色噪声,自适应神经模糊滤波,改进Prony法,归一化奇异值法

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Abstract:

传统Prony法在分析低频振荡时对输入信号要求较高,存在着对噪声敏感的弱点。文中提出一种自适应神经模糊滤波和改进Prony法相结合的低频振荡分析方法。该方法先用自适应神经模糊滤波对低频振荡信号进行滤波,再用改进Prony法对滤波后的信号进行分析。其中改进Prony法有效阶数用归一化奇异值法确定。将该方法用于分析IEEE4机2区系统表明,在有色噪声影响下,该方法仍能相对准确地辨识出低频振荡主导模式,验证了其有效性。

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