基于FastICA的输电线路行波故障测距方法

为了解决输电线路故障信号存在抵偿效应导致测距精度不足的问题,建立线性瞬时混合的线路模型。采用快速独立成分分析法(FastICA)对采集的多通道线路故障原始数据(观测信号)进行相关分析,将表征故障特征的各分量逐一提取。以能量比函数对故障分量进行求解,设定能量比阈值以定位故障时刻,实现基于行波原理的线路精确测距。大干扰条件下故障特征受噪声信号干扰,会对测距精度产生影响。对此,FastICA算法能将噪声信号从故障原始数据中分离,避免噪声对测距过程产生的影响,进一步提高测距精度。仿真实验证明:所提出的方法能有效避免噪声干扰的影响,能适应大干扰条件下的故障测距,具有较好的抗干扰性。

FastICA based traveling wave fault location algorithm for transmission lines

To solve the problem of unsatisfactory accuracy of fault location caused by the offset effect of transmission line fault signals, a linear transient mixed line model is established. The fast independent component analysis (FastICA) is used to analyze the original data (observed signals) of the collected multi-channel faults and extract the components that characterize the fault features one by one. The energy ratio function is used to solve the fault component, and the energy ratio threshold is set to locate the fault moment to realize the line precise measurement based on the traveling wave principle. The influence of fault characteristics on the accuracy of fault location under the condition of large interference is disturbed by noise signals. In this regard, FastICA algorithm can separate the noise signal from the original data of the fault to avoid the influence of noise on fault location process and further improve the accuracy of fault location on transmission lines. The simulation results show that the proposed method can effectively avoid the influence of noise interference, adapt to fault location under large interference conditions and have good anti-interference ability. This work is supported by National Natural Science Foundation of China (No. 51267001), Guangxi Natural Science Foundation (No. 2014GXNSFAA118338), Guangxi Scientific Research and Technical Development Project (No. 14122006-29) and Nanning Scientific Research and Technical Development Project (No. 20165186).