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Research of fault phase selection on UHV transmission lines based on wavelet analysis

机译:基于小波分析的特高压输电线路故障选相研究

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To meet the requirements of ultra-high speed protection on UHV transmission lines, this paper proposes a fault phase selection based on wavelet analysis theory, which can detect the mutations' time and size of singular signal in fault signal. Firstly, this algorithm transforms the transient fault current into model fault current to eliminate the impact of the various phases' coupling. Then modulus maximum is extracted from model fault current using discrete wavelet transform (DWT) and is treated as the criterion factors after normalizing. Finally, the relationship among criterion factors is summarized according to the characteristics of mode fault current, while constructing a new UHV fault phase selection algorithm. Through simulation studies by PSCAD and MATLAB, this method is proved that it is disturbed less by amplitude of the transient fault signal, and it has a good adaptive capacity and a strong ability for fault resistance. Also its speed is fast and accurate, so the proposed algorithm can be implemented simply and effectively.
机译:为了满足特高压输电线路超高速保护的要求,提出了一种基于小波分析理论的故障选相方法,可以检测出故障信号中奇异信号的突变时间和大小。首先,该算法将瞬态故障电流转换为模型故障电流,以消除各相耦合的影响。然后,使用离散小波变换(DWT)从模型故障电流中提取模量最大值,并在归一化后将其作为标准因子。最后,根据模式故障电流的特点,总结了判据因素之间的关系,构造了一种新的特高压故障选相算法。通过PSCAD和MATLAB的仿真研究,证明该方法受暂态故障信号幅度的干扰较小,具有良好的自适应能力和较强的抗故障能力。而且它的速度是快速和准确的,因此可以简单有效地实现所提出的算法。

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