电流互感器饱和影响测距精度的一种解决方法

A SOLUTION TO INFLUENCE ON FAULT LOCATION BY SATURATION OF CURRENT TRANSFORMER

电流互感器 (TA)饱和会给基于工频电气量的输电线路故障测距精度带来很大的误差。文中利用 MATLAB程序 ,设计了一个前向 BP网络 ,利用 BP网络来对 TA饱和电流进行矫正补偿 ,然后再进行故障测距。EMTP仿真的结果表明 ,对 TA饱和电流进行补偿矫正后 ,明显地改进了故障测距的精度。

Current transformer TA saturation may cause great errors of fault location based on power frequency quantities. A m ethod of using an artificial neural network ANN is presented to correct the distortion of current transformer secondary current caused by the TA saturation in this paper. Moreover,a forward BP network is developed through MATL AB program. So,the ANN can be trained to achieve an inverse transfer function of iron- core toroidal current transform ers widely used in protection system.And consequently the com pensated currents are suitable for fault location.The simulation results of EMTP show that the compensation of saturated current by ANN can significantly improve the accuracy of fault location.