Wavelet analysis and neural network based adaptive single- pole autoreclosure scheme for EHV transmission systems

摘要

This paper proposes a wavelet analysis and neural network based adaptive single-pole autoreclosure scheme for Extra High Voltage (EHV) transmission systems, First, the fault transients generated by the secondary arc and permanent faults are analysed using discrete wavelet transform with particular reference to the development of the adaptive autoreclosure scheme. Daubechies D4 wavelet transform is adopted and the numeriacal analyses reveal that certain wavelet components can be effectively used as the features to transmission systems.