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基于相空间重构的变压器励磁涌流识别 被引量:8

Transformer excitation inrush current recognition based on the phase space reconstruction
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摘要 针对变压器励磁涌流会引起差动保护误动的问题,应用相空间重构理论,对变压器励磁涌流和不同内部故障时的电流序列进行相空间重构,将一维的时间序列重构到高维相空间,通过研究高维相空间吸引子的分布规律和运动特点,获取原始时间序列的动力学特性。计算吸引子的特征量——关联维数来区分变压器励磁涌流与内部故障电流。实验分析结果表明:励磁涌流时电流序列对应的关联维数大于2,而内部故障时电流序列对应的关联维数在1和2之间,两者明显不同。因此关联维数可以作为一种新的特征判据来识别变压器励磁涌流。 For the problem that transformer excitation inrush current can cause differential protection maloperation, based on the phase space reconstruction theory, phase spaces of transformer excitation inrush current and different internal fault current series are reconstructed from one-dimensional time series to high-dimensional phase space. Through the research of high dimensional phase space attractor's distribution and movement characteristics, dynamic characteristics are obtained form the original time series. And the characteristic of attractor, namely the correlation dimension is calculated to differentiate transformer excitation inrush current from internal fault current. Experimental analysis results indicate that the value of correlation dimension corresponding with current series of excitation inrush current is greater than 2, but the value of correlation dimension corresponding with current series of internal fault is between 1 and 2. Therefore, they are obviously different. So correlation dimension can serve as a kind of new features criterion to identify transformer excitation inrush current.
机构地区 安徽理工大学
出处 《电力系统保护与控制》 EI CSCD 北大核心 2012年第5期27-31,共5页 Power System Protection and Control
关键词 励磁涌流 内部故障 相空间重构 关联维数 excitation inrush current: internal fault: phase space reconstruction: correlation dimension
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