This paper presents a new fault detection algorithm based on the Fast Discrete Stockwell Transform. The can improve functionality of existing distance protection and resolve shortcomings identified during process in case occurrence systems with high penetration power electronics-based generators. Reported results operation commercial relays four different vendors show that all experience diffic...

This paper presents features that characterize power quality disturbances from recorded voltage and current signals using wavelet transformation and S-transform analysis. The disturbance of interest includes sag, swell, transient and harmonics. A 25kv distribution network has been simulated using matlab software. The feature extraction has been done using wavelet transformation and S-transform,...

In this paper a method in intelligent monitoring of the power quality events is presented. The main objectives are the identification and classification of these events. A method for classification is used based on the combination of S-transform and neural networks. The S-transform, which is based on the wavelet transform with a phase correction, provides frequency dependent resolutions that si...