Adaline for symmetrical components detection in High Voltage transmission line faults

We present in this paper an ADAptive-LInear-NEuron (Adaline) method for symmetrical components identification in High Voltage (HV) transmission line faults. This method uses a current transformations in a Parks reference frame where the direct and inverse current components are linearly separated. Four Adalines are built in order to learn DQ currents. After the learning process, the Adaline weights are stabilized and allow identifying the RMS values and the phase angles of the direct and inverse currents. The weights are updated on line and track the power grid parameters evolution. This neural approach is compared with the three phase PLL. Simulation results show that our method is fast and efficient for transmission line faults detection and it is able to improve the response capabilities of the protection relay.

[1]  Patrice Wira,et al.  Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents , 2009 .

[2]  Hector J. Altuve,et al.  FOURIER AND WALSH DIGITAL FILTERING ALGORITHMS FOR DISTANCE PROTECTION , 1996 .

[3]  H. J. Altuve Ferrer,et al.  Fourier and Walsh digital filtering algorithms for distance protection , 1996 .

[4]  James S. Thorp,et al.  Computer Relaying for Power Systems , 2009 .

[5]  Oscar L. Chacón,et al.  Neural network approach to fault detection in electric power systems , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[6]  Khashayar Khorasani,et al.  Fault identification in an AC-DC transmission system using neural networks , 1991 .

[7]  Djaffar Ould Abdeslam,et al.  Adaline for fault detection in Electrical High Voltage transmission line , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[8]  Bernard Widrow,et al.  30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.

[9]  S. L. Hurst.  Digital protection for power systems , 1997 .

[10]  Y.-A. Chapuis,et al.  Advanced common control method for shunt and series active compensators used in power quality improvement , 2004 .

[11]  Patrice Wira,et al.  A Unified Artificial Neural Network Architecture for Active Power Filters , 2007, IEEE Transactions on Industrial Electronics.

[12]  V. Blasko,et al.  Operation of a phase locked loop system under distorted utility conditions , 1997 .

[13]  Mladen Kezunovic,et al.  Detect and classify faults using neural nets , 1996 .

[14]  Alessandro Ferrero,et al.  A simplified algorithm for digital distance protection based on Fourier techniques , 1989 .

[15]  Magdy M. A. Salama,et al.  An overview of digital fault location algorithms for power transmission lines using transient waveforms , 1994 .