A new algorithm for power system disturbance classification is proposed in this paper. It is a two-stage system that employs the great potentials of the discrete wavelet transform (DWT), Kalman filter and a fuzzy-expert system. For the first stage, the captured voltage waveform is passed through the DWT to determine the noise inside it. The covariance of this noise is then calculated and fed to...

Author Affiliation: Institute for Power, Electronics and Telecommunications Engineering, Faculty of Engineering, University of Novi Sad, Novi Sad, Yugoslavia. Abstract: The aim of this letter is to present a universal power quality conditioning system (UPQS) named after unified power quality conditioner (UPQC), which is extended by adding a shunt active filter at the load side. Its main purpose...

Power quality testing is important to wind power applications for several reasons. The nature of wind turbine generation is different from conventional power plants. Although windfarms are growing in capacity and diversifying in nature in the U.S. and throughout the globe, there is no standard that addresses the power quality of wind turbines or wind farms. The International Electrotechnical Co...

The paper presents an S-Transform based multilayer perceptron neural network (MLP) classifier for the identification of power quality (PQ) disturbances.The proposed method is used to extract the three input features (Standard deviation, peak value and variances) from the distorted voltage waveforms simulated using parametric equations. The features extracted through S-transform are trained by a...

This paper extends the standard quality ladder model of innovation and quality growth by allowing for heterogeneous industries. This enables us not only to deal with the Schumpeterian hypothesis about market power and innovation, but also to analyze industry specific demand pull and technology push effects. In accordance with the empirical evidence, we show that perspective of large market powe...

This work compares seven regression algorithms implemented in artificial neural networks (ANNs) supported by 14 power-quality features, which are based in higher-order statistics. Combining time and frequency domain estimators to deal with non-stationary measurement sequences, the final goal of the system is the implementation in the future smart grid to guarantee compatibility between all equi...

The automated visual inspection is an important task for the industrial productivity. It could be applied for quality control or for replacing manual work under dangerous or repetitive activity. The classification stage in quality control of the industrial production is often based on the human knowledge. It seems, therefore, to be a great concern to supply an automated visual inspection system...

The transmission of electricity from the source to load is mainly carried out using a three-phase line [...]

The recordings of the pantograph voltage and current waveforms across Italian and French high speed railway lines (both Autotransformer 2x25 kV 50 Hz systems) are analyzed to estimate some Power Quality indexes: harmonic spectra, harmonic distortion, displacement factor and fundamental component, in various rolling stock operating conditions. These indexes, that define the electrical interface ...