An alternative approach to fault location on power distribution feeders with embedded remote-end power generation using artificial neural networks

In this paper, the design and implementation of a feed-forward artificial neural network (ANN)-based fault locator to classify and locate shunt faults on primary overhead power distribution lines with load taps and embedded remote-end power generation is presented. In the ANN algorithm, the standard back-propagation technique with a sigmoid activation function is used. The fault locator utilizes fault voltage and current samples obtained at a single location of a typical radial distribution system. The ANNs are trained with data under a wide variety of fault conditions and used for the fault type classification and fault location on the distribution line. A 34.5 kV distribution system is simulated using electro-magnetic transients program and their results are used to train and test the ANNs. The ANN-based fault locator gives high accuracy for the vast majority of the practically encountered systems and fault conditions, including the presence of load taps and the remote-end in-feed source.

[1]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[2]  Jarmo Partanen,et al.  Using fuzzy sets to model the uncertainty in the fault location process of distribution networks , 1994 .

[3]  Girish Kumar Singh,et al.  Self-excited induction generator research—a survey , 2004 .

[4]  A. T. Johns,et al.  New concept in fault location for overhead distribution systems using superimposed components , 1997 .

[5]  Murari Mohan Saha,et al.  An Accurate Fault Locator with Compensation for Apparent Reactance in the Fault Resistance Resulting from Remote-End Infeed , 1985, IEEE Power Engineering Review.

[6]  Adly A. Girgis,et al.  Automated fault location and diagnosis on electric power distribution feeders , 1997 .

[7]  V. Lo Brano,et al.  Forecasting daily urban electric load profiles using artificial neural networks , 2004 .

[8]  Paul M. Anderson.  Power System Protection , 1998 .

[9]  Mladen Kezunovic,et al.  An accurate fault location algorithm using synchronized sampling , 1994 .

[10]  D. Thukaram,et al.  ANN applications in fault locators , 2001 .

[11]  Soteris A. Kalogirou,et al.  Applications of artificial neural networks in energy systems , 1999 .

[12]  Mladen Kezunovic,et al.  Automated transmission line fault analysis using synchronized sampling at two ends , 1995 .

[13]  J.T. Lin,et al.  An Expert System for Locating Distribution System Faults , 1991, IEEE Power Engineering Review.

[14]  A. T. Johns,et al.  New approach to directional fault location for overhead power distribution feeders , 1991 .

[15]  Vladimir Terzija,et al.  Effective Two-terminal Numerical Algorithm for Overhead Lines Protection , 2007 .

[16]  Mladen Kezunovic,et al.  Locating faults in the transmission network using sparse field measurements, simulation data and genetic algorithm , 2004 .

[17]  Raj Aggarwal,et al.  Accurate fault locator for EHV transmission lines based on radial basis function neural networks , 2004 .

[18]  Mladen Kezunovic,et al.  Fault location using the distributed parameter transmission line model , 2000 .

[19]  M. S. Sachdev,et al.  Determining locations of faults in distribution systems , 1997 .

[20]  Adly A. Girgis,et al.  A fault location technique for rural distribution feeders , 1991, [Proceedings] 1991 Rural Electric Power Conference. Papers presented at the 35th Annual Conference.

[21]  Vladimir Terzija,et al.  Intelligent two-port numerical algorithm for transmission lines disturbance records analysis , 2008 .

[22]  Jyh-Cherng Gu,et al.  Removal of DC offset in current and voltage signals using a novel Fourier filter algorithm , 2000 .

[23]  D Stephenson,et al.  Infilling streamflow data using feed-forward back-propagation (BP) artificial neural networks: Application of standard BP and pseudo Mac Laurin power series BP techniques , 2007 .

[24]  A. T. Johns,et al.  A new travelling-wave based scheme for fault detection on overhead power distribution feeders , 1992 .

[25]  V. Terzija,et al.  Two Terminals Numerical Algorithm for Fault Distance Calculation and Fault Analysis , 2006, 2006 IEEE PES Power Systems Conference and Exposition.