【摘要】 牵引网故障前后稳态相量幅值和相位的估算对测距的精度有着至关重要的影响。提出了基于Morlet复小波的相量估算算法,由于采用具有较好频率特性的Morlet复小波,因此该算法的稳定性优于传统傅里叶算法,同时不受整次、非整次谐波及非周期衰减分量的影响,相量估算精度高,鲁棒性强。进一步讨论了各参数对算法性能的影响以及参数选择方法。最后将该算法应用于牵引网典型故障电流工频相量的提取,仿真分析表明其计算精度高,可充分满足测距的要求,因此有很高的工程实用价值。更多还原

【Abstract】 Steady-state phasor estimation of pre- and post-fault is important for fault location of traction line. A Morlet complex wavelet based novel phasor estimation algorithm is presented which is better than traditional Fourier algorithm in stability and robustness. The algorithm can eliminate decaying DC component, integer and non-integer harmonics. The adaptive ability of the proposed algorithm improves the drawback of the traditional Fourier algorithm in phasor estimation. Then the influence of different parameters on the algorithm and how to select proper parameters are discussed. So the algorithm design is just to confirm the proper parameters, which determine the filtering performance and response time. Finally the algorithm is applied to typical fault current phasor estimation of traction line. The simulation results show that the algorithm is of high accuracy and robustness and satisfies fault location’s need, so it is highly valuable for engineering practice.更多还原