A Re-sampling Low-pass Filter for Differential Protection Designed with Artificial Neural Network
Chong Zhang · Dianli xitong zidonghua · 2013
After analyzing re-sampling methods and frequency domain characteristic the re-sampling filter should meet,a new method for designing finite impulse response(FIR) re-sampling filter based on artificial neural network(ANN) is put forward.This method can help to design FIR filters with any amplitude or phase in frequency domain.So it can reduce the differential current error by carrying out frequency domain compensation on differential current according to the characteristics of leading low-pass filters and improve the reliability of the protection.The theory is proved by a simplified simulation.