基于复小波分析的牵引网故障测距算法

Study of Traction Network Fault Location Based on Complex Wavelet

摘要:

故障暂态分量能够充分地描述故障的特征,用来研究故障测距具有传统算法不可比拟的优点.针对复线牵引网的故障暂态高频分量和故障距离间的关系展开研究,绘制了故障距离和始端等效阻抗谐振频率的对应关系曲线,证明故障电压暂态信号和始端等效阻抗具有相同的谐振频率点.用Morlet复小波提取故障电压信号的谐振频率,并依据得到的谐振频率曲线,实现了牵引网的故障定位.分析表明,基于复小波分析的暂态谐振频率法进行牵引网故障测距,可以消除过渡电阻等对故障测距的影响,具有较高的精度和可靠性.

Abstract:

The study of the traction network fault location using the transient component can achieve better results than those using traditional methods.The paper presents a study of the relations between the high frequency parts of the transient components and the fault locations to apply the double lines of traction network.The correlative curve between the fault locations and the resonance frequency of the equivalent impedances at the beginning of the traction lines was analyzed through soft simulations.The resonance frequency of the transient component of voltage signals was proved to be the same as the resonance frequency of the equivalent impedances at the beginning of the traction lines.Morlet complex wavelet was utilized to get the resonance frequency of the transient component of the voltage signal.The fault point was located by using the correlative curve between the fault locations and the resonance frequency of the equivalent impedances at the beginning of the traction lines.