Statistical and Machine Learning Technique to Detect and Classify Shunt Faults in a UPFC Compensated Transmission Line
AbstractIn this paper, machine learning technique is used to detect and classify all shunt faults in a UPFC compensated transmission line. A four-bus three-machine system with detailed modelling of UPFC has been used for fault simulation studies in MATLAB/Simulink. Instantaneous voltage and current signals obtained at local bus terminal are processed with DFT and statistical method for feature extraction. The input features of the ANN are minimised by using the statistical method. Generated features are used for training the ANN module. Trained ANN modules are used for testing different fault conditions in the time domain. Rigorous simulation studies have been performed with a wide variety of different possible fault situations. Simulation results bring out the superiority of the scheme. Moreover, the error introduced due to CT, CCVT and Dynamic behaviour of the UPFC has been considered for testing the trained ANNs by varying the different operating mode of UPFC, and different compensation levels, wherein all the cases, the performance is found reliable.
 X. Zhou, H. Wang, R. K. Aggarwal, and P. Beaumont, “Performance evaluation of a distance relay as applied to a transmission system with UPFC,” IEEE Trans. Power Deliv., vol. 21, no. 3, pp. 1137–1147, 2006.
 F. A. Albasri, T. S. Sidhu, and R. K. Varma, “Performance comparison of distance protection schemes for shunt-FACTS compensated transmission lines,” IEEE Trans. Power Deliv., vol. 22, no. 4, pp. 2116–2125, 2007.
 M. Khederzadeh and A. Ghorbani, “Impact of VSC-based multiline FACTS controllers on distance protection of transmission lines,” IEEE Trans. Power Deliv., vol. 27, no. 1, pp. 32–39, 2012.
 Z. Moravej, M. Pazoki, and M. Khederzadeh, “Impact of UPFC on power swing characteristic and distance relay behavior,” IEEE Trans. Power Deliv., vol. 29, no. 1, pp. 261–268, 2014.
 Kumar B., Yadav A.,"Backup protection scheme for transmission line compensated with UPFC during high impedance faults and dynamic situations," IET Sci. Meas. Technol; vol. 11, no. 6, pp. 703–712, 2017.
 M. C. R. Paz, R. C. Leborgne, and A. S. Bretas, “Adaptive ground distance protection for UPFC compensated transmission lines: A formulation considering the fault resistance effect,” Int. J. Electr. Power Energy Syst., vol. 73, pp. 124–131, 2015.
 H. Mehrjerdi and A. Ghorbani, “Adaptive algorithm for transmission line protection in the presence of UPFC,” Int. J. Electr. Power Energy Syst., vol. 91, pp. 10–19, 2017.
 C. D. Schauder et al., “Operation of the Unified Power Flow Controller (UPFC) under practical constraints,” IEEE Trans. Power Deliv., vol. 13, no. 2, pp. 630–637, 1998.
 P. K. Dash, A. K. Pradhan, and G. Panda, “Distance protection in the presence of unified power flow controller,” Electr. Power Syst. Res., vol. 54, no. 3, pp. 189–198, 2000.
 S. R. Samantaray, “Decision tree-based fault zone identification and fault classification in flexible AC transmissions-based transmission line,” IET Gener. Transm. Distrib., vol. 3, no. 5, p. 425, 2009.
 S. R. Samantaray, “A data-mining model for protection of facts-based transmission line,” IEEE Trans. Power Deliv., vol. 28, no. 2, pp. 612–618, 2013.
 A. Manori, M. Tripathy, and H. O. Gupta, “SVM based zonal setting of Mho relay for shunt compensated transmission line,” Int. J. Electr. Power Energy Syst., vol. 78, pp. 422–428, 2016.
 L. Tripathy, M. K. Jena, and S. R. Samantaray, “Decision tree-induced fuzzy rule-based differential relaying for transmission line including unified power flow controller and wind-farms,” IET Gener. Transm. Distrib., vol. 8, no. 12, pp. 2144–2152, 2014.
 R. Dubey, S. R. Samantaray, B. K. Panigrahi, and Vijendran G. Venkoparao, “Extreme Learning Machine Based Adaptive Distance Relaying Scheme for Static Synchronous Series Compensator Based Transmission Lines,” Electr. Power comp.and syst. vol. 44, no. 2, pp. 219-232 December, 2015.
 Z. Moravej, S. Member, M. Pazoki, M. Khederzadeh, and S. Member, “New Pattern-Recognition Method for Fault Analysis in Transmission Line With UPFC,” vol. 30, no. 3, pp. 1231–1242, 2015.
 A. Yadav and A. Swetapadma, “Electrical Power and Energy Systems A single ended directional fault section identifier and fault locator for double circuit transmission lines using combined wavelet and ANN approach,” vol. 69, pp. 27–33, 2015.
 A. Yadav and A. Swetapadma, “Improved first zone reach setting of artificial neural network-based directional relay for protection of double circuit transmission lines,” IET Gener. Transm. Distrib., vol. 8, no. 3 pp. 373–388, 2014.
 SimPower Systems Toolbox ver. 8.1, for use with Simulink, User’s Guide. The Math Works, Inc., 2013a.