This paper proposes the use of neural network classifiers to evaluate back propagation (BP) and learning vector quantization (LVQ) for feature selection of load identification in a non-intrusive load monitoring (NILM) system. To test the performance of the proposed approach, data sets for electrical loads were analyzed and established using a computer supported program Electromagnetic Transient...

Monitoring units for the measurement of highfrequency voltage transients have been in operation at three different busses of an Italian medium voltage (MV) distribution feeder, mainly composed by overhead lines, in March 2007 – August 2008. The feeder is located in a region characterized by a high ground flash density value (4 flashes/km/yr); many of the recorded voltage transients may be corre...

This paper proposes a new algorithm for detecting faults in an electrical power transmission system, using discrete wavelet transform (DWT) and probabilistic neural network (PNN). Fault conditions are simulated using ATP/EMTP to obtain current signals. The algorithm used to analyze fault locations is developed on MATLAB. Fault detection is processed using the positive sequence current signals. ...

This paper proposes statistical feature extraction methods combined with artificial intelligence (AI) approaches for fault locations in non-intrusive single-line-to-ground fault (SLGF) detection of low voltage distribution systems. The input features of the AI algorithms are extracted using statistical moment transformation for reducing the dimensions of the power signature inputs measured by u...

The available EMTP-type programs have dedicated support routines (Cable Constants) for calculating an electric representation of cable systems in terms of a series impedance matrix Z and a shunt admittance matrix Y, based on cable data defined by geometry and material properties. Z and Y are then used as the basic input for the various cable models applied in time domain transient simulations. ...

The accurate identification of Very Fast Transient Overvoltage (VFTO) is the key overvoltage control in modern smart grids. In order to accurately identify VFTO generated by operation a disconnector Gas Insulated Substation (GIS), method based on Wavelet Transform (WT) and Singular Value Decomposition (SVD) proposed. simulation model established ATP-EMTP software first, then wavelet decompositi...

Abstract In order to effectively detect the waveform characteristics of closing inrush current distribution transformers and distinguish between magnetizing fault when closing, this paper proposes a new method based on neighborhood preserving embedding (NPE) principal component analysis (PCA) transformer detection method. This can process global local feature information data. First, NPE-PCA al...