ADAPTIVE SINGLE-POLE AUTORECLOSURE SCHEME BASED ON STANDARD DEVIATION AND WAVE ENERGY

Abstract

Adaptive autoreclosures avoid reclosing unto permanent faults and reclose unto transient faults only after the secondary arc has extinguished. This paper presents an adaptive single-pole autoreclosure (AdSPAR) technique based on the standard deviation and percentage of energy in detailed coefficients of Daubechies db4 mother wavelet, and multilayer perceptron (MLP) artificial neural network (ANN). The proposed technique is able to distinguish between permanent and transient faults and in the case of the latter, predict optimal reclosure times.