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EMD及Duffing振子在小电流系统故障选线方法中的应用

, PP. 161-167

Keywords: 小电流系统,经验模态分解,Duffing振子,相图变化

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Abstract:

针对小电流系统发生故障时,各线路零序电流的非平稳、非线性等复杂特性,给出一种基于经验模态分解(empiricalmodedecomposition,EMD)和Duffing振子检测的方法。EMD方法具有很好的自适应性,而Duffing振子系统对于与内驱动力同频的外界信号具有高度敏感性。首先对故障零序电流进行EMD分解,提取出第1个内禀模态函数作为故障零序电流特征量;然后提出特征量中的五次谐波分量,将其输入到Duffing振子中,通过系统相图变化来确定当前线路是否发生故障。对各条线路进行不同条件下故障模拟,仿真结果证明了该算法的可靠性。

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