A Novel Fault Classification Scheme for Series Capacitor Compensated Transmission Line Based on Bagged Tree Ensemble Classifier

This paper presents a novel intelligent fault classification scheme for fixed series capacitor compensated transmission line. The singular value decomposition principle is applied along with the fast discrete orthonormal S-transform (FDOST) and bagged tree ensemble classifier for classification of faults under different scenarios. Classification input features are extracted from 1/2 cycle post-fault current data through the FDOST. The feasibility of the proposed relaying scheme is tested on a modified WSCC 3-machine 9-bus system under different fault conditions using PSCAD/EMTDC, and the results indicate the proposed scheme to be fast and accurate. The robustness of the proposed scheme to noise and current transformer saturation is also established. The obtained results under different fault scenarios confirm the efficacy of the proposed scheme.

[1]  Mojtaba Khederzadeh,et al.  New Combined Method for Fault Detection, Classification, and Location in Series-compensated Transmission Line , 2012 .

[2]  Robert Glenn Stockwell,et al.  A basis for efficient representation of the S-transform , 2007, Digit. Signal Process..

[3]  Aleena Swetapadma,et al.  Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system , 2015 .

[4]  Huisheng Wang,et al.  Fuzzy-neuro approach to fault classification for transmission line protection , 1998 .

[5]  Aurelio Medina,et al.  Time-domain harmonic state estimation based on the kalman filter poincare map and extrapolation to the limit cycle , 2012 .

[6]  Rudra Prakash Maheshwari,et al.  Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[7]  B. Das,et al.  Fuzzy-logic-based fault classification scheme for digital distance protection , 2005, IEEE Transactions on Power Delivery.

[8]  A Jamehbozorg,et al.  A Decision-Tree-Based Method for Fault Classification in Single-Circuit Transmission Lines , 2010, IEEE Transactions on Power Delivery.

[9]  A. T. Johns,et al.  Method to improve digital distance relay impedance measurement when used in series compensated lines protected by a metal oxide varistor , 1998 .

[10]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[11]  Huseyin Eristi,et al.  Fault diagnosis system for series compensated transmission line based on wavelet transform and adaptive neuro-fuzzy inference system , 2013 .

[12]  R. Polikar,et al.  Ensemble based systems in decision making , 2006, IEEE Circuits and Systems Magazine.

[13]  Michael Thompson,et al.  Protection of EHV transmission lines with series compensation: BC Hydro's lessons learned , 2009, 2009 62nd Annual Conference for Protective Relay Engineers.

[14]  Almoataz Y. Abdelaziz,et al.  A non-unit protection scheme for double circuit series capacitor compensated transmission lines , 2017 .

[15]  Rudra Prakash Maheshwari,et al.  Fault classification technique for series compensated transmission line using support vector machine , 2010 .

[16]  A. K. Pradhan,et al.  A Fault Detection Technique for the Series-Compensated Line During Power Swing , 2013, IEEE Transactions on Power Delivery.

[17]  Mojtaba Khederzadeh,et al.  New Pattern-Recognition Method for Fault Analysis in Transmission Line With UPFC , 2015, IEEE Transactions on Power Delivery.

[18]  S. Pati,et al.  Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line , 2004, IEEE Transactions on Power Delivery.

[19]  P. A. Crossley,et al.  Design and evaluation of an adaptive distance protection scheme suitable for series compensated transmission feeders , 2004 .

[20]  Ganapati Panda,et al.  A novel fuzzy neural network based distance relaying scheme , 2000 .

[21]  Rudra Prakash Maheshwari,et al.  Decision Tree Based Fault Classification Scheme for Protection of Series Compensated Transmission Lines , 2007 .

[22]  B. Kasztenny,et al.  Rebirth of the phase comparison line protection principle , 2006, 59th Annual Conference for Protective Relay Engineers, 2006..

[23]  Yanwei Wang,et al.  Fast Discrete Orthonormal Stockwell Transform , 2009, SIAM J. Sci. Comput..

[24]  Almoataz Y. Abdelaziz,et al.  Series Compensated Line Protection Using Support Vector Machine , 2011 .

[25]  Ali Akbar Abdoos,et al.  Detection of current transformer saturation based on variational mode decomposition analysis , 2016 .

[26]  Rudra Prakash Maheshwari,et al.  Protection of series compensated transmission line: Issues and state of art , 2014 .

[27]  G. Panda,et al.  Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine , 2007, IEEE Transactions on Power Delivery.

[28]  Pradipta Kishore Dash,et al.  Pattern recognition based digital relaying for advanced series compensated line , 2008 .

[29]  Girish Kumar Singh,et al.  PSO and ANN-based fault classification for protective relaying , 2010 .

[30]  Rudra Prakash Maheshwari,et al.  Improved fault analysis technique for protection of Thyristor controlled series compensated transmission line , 2014 .

[31]  Behnam Mohammadi-Ivatloo,et al.  DT-based relaying scheme for fault classification in transmission lines using MODP , 2017 .