Smart transmission system: a new approach for the fault identification, localization and classification in the power system
Abstract
This paper proposes an application of the Teager Energy Operator (TEO) next to the Discrete Wavelet Transform (DWT) and Hilbert-Huang Transform (HHT) for the power system fault identification, localization, and classification. Several fault types are simulated in the NE 39 bus test system using DigSILENT Power Factory software. Frequency and voltage signals are obtained and analyzed through the optimal placement of the Phasor Measurement Units (PMUs). The performance and the comparison of the applied techniques are assessed through a large number of the simulated faults for each fault type. The promising results obtained in the TEO analysis highlights the appropriate application of this technique in the power system fault detection. Value of the presented work reflects in the clear fault detection process. For the specified test system 141 fault simulations are made, frequency and voltage signals obtained from 13 measuring points in the system and analyzed with different signal processing techniques providing time, location and type of the fault.
References
Avdakovic, S., Becirovic, E., Nuhanovic, A., & Kusljugic, M. (2014). Generator Coherency Using the Wavelet Phase Difference Approach. IEEE Transactions on Power Systems, 29(1), 271-278.
Avdaković, S., Nuhanović, A., & Kušljugić. (2011). An Estimation Rate of Change of Frequency Using Wavelet Transform. International Review of Automatic Control (I.RE.A.CO.), 267-272.
Avdaković, S., Nuhanović, A., Kušljugić, M., & Bećirović, E. (2014). Applications of wavelets and neural networks for classification of power system dynamic events. Turkish Journal of Electrical Engineering & Computer Sciences, 327-340.
Avdaković, S., Nuhanović, A., Kušljugić, M., & Musić, M. (2012). Wavelet transform applications in power system dynamics. Electric Power Systems Research, 83(1), 237-245.
Chakrabortty, A., & Khargonekar, P. P. (2013). Introduction to Wide-Area Control of Power Systems. American Control Conference (ACC). Washington.
Chen, Z. M., Li, M. S., Ji, T. Y., & H., W. Q. (2016). Detection and Classification of Power Quality Disturbances in Time Domain Using Probabilistic Neural Network. Neural Networks (IJCNN), 2016 International Joint Conference on. Vancouver.
Čišija-Kobilica, N., & Avdaković, S. (2017). Application of Teager Energy Operator for the Power System Fault Identification and Localisation. The International Symposium on Advanced Electrical Power Systems(Planning, Operation and Control) – ISAPS 2017. Teslić.
Čišija-Kobilica, N., & Avdaković, S. (2017). Fault Classification with Artificial Neural Networks based on the Application of Teager Energy Operator. International Journal of Engineering Research and Development.
Daubechies, I. (1992). Ten Lectures on Wavelet. Philadelphia: Society for Industrial and Applied Mathematics (SIAM).
Grigsby, L. L. (2007). Power System Stability and Control. New York: Taylor and Francis Group.
Hasheminejad, S., Seifossadat, S. G., Razaz, M., & Joorabian, M. (2016). Traveling-wave-based protection of parallel transmission lines using Teager energy operator and fuzzy systems. IET Generation, Transmission & Distribution, 10(4), 1067-1074.
Hayes, B., & Condon, M. (2016). Application of the Real-Time Hilbert Huang Transform to a Noise Perturbed Buck Converter. 10th International Conference on Circuits, Systems, Signal and Telecommunications (CSST '16). Barcelona.
Hongbo, W., Rong, H., Qi, Q., & Yu, K. (2014). Improved Teager Energy Operator for On-Line Tracking of Power Grid Voltage. 33rd Chinese Control Conference. Nanjing.
Ivatloo, B. M. (2009). Optimal Placement of PMUs for Power System Observability Using Toplogy Based Formulated Algorithms. Journal of Applied Science, 9(13), 2463-2468.
Kaiser, J. F. (1990). On a simple algorithm to calculate the ‘energy’ of a signal. Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on. Albuquerque.
Kamwa, I., Pradhan, A. K., & Joos, G. (2011). Robust Detection and Analysis of Power System Oscillations Using the Teager-Kaiser Energy Operator. IEEE TRANSACTIONS ON POWER SYSTEMS, 26(1), 323-333.
Kumar, J., & Jena, P. (2016). Fault Detection during Power Swing using Teager-Kaiser Energy Operator. Power Systems (ICPS), 2016 IEEE 6th International Conference on. New Delhi.
Lee, J.-W., Kim, W.-K., Han, J., Jang, W.-H., & Kim, C.-H. (2016). Fault Area Estimation Using Traveling Wave for Wide Area Protection. J. Mod. Power Syst. Clean Energy, 4(3), 478 - 486.
Mallat, S. (1998). A Wavelet Tour of Signal Processing. Michigan: Academic Press.
Maragos, P., Kaiser, J. F., & Quatieri, T. F. (1993). Energy Separation in Signal Modulations with Application to Speech Analysis. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 41(10), 3024-3051.
Messina, A. (2009). Inter-Area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective. Springer.
Muller, S. C., Kubis, A., Brato, S., Hager, U., Rehtanz, C., & Gotze, J. (2012). New Applications for Wide-Area Monitoring, Protection and Control. 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). Berlin.
Neto, C. M., Costa, F. B., Barreto, R. L., Rocha, T. O., & Ribeiro, R. L. (2013). Wavelet-Based Method for Detection of Electrical and Electromechanical Oscillations in Synchronous Generators. Power Electronics Conference (COBEP), 2013 Brazilian. Gramado.
Prasertwong, K., Mithulananthan, N., & Thakur, D. (2010). Understanding low frequency oscillation in power systems. International Journal of Electrical Engineering Education, 47(3), 248-262.
Ramakrishna, G., & Padmaja, N. (2016). Estimation of Teager Energy Using EMD and HHT. Applied and Theoretical Computing and Communication Technology (iCATccT), 2016 2nd International Conference on. Bangalore.
Reddy, M. B., Rajesh, V., Gopakumar, P., & Mohanta, D. K. (2014). Smart Fault Location for Smart Grid Operation Using RTUs and Computational Intelligence Techniques. IEEE SYSTEMS JOURNAL, 8(4), 1260-1271.
Reza, M., Ciobotaru, M., & Agelidis, V. G. (2015). Single-Phase Grid Voltage Frequency Estimation Using Teager Energy Operator-Based Technique. IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 3(4), 1218-1227.
Rueda, J. L., Juarez, C. A., & Erlich, I. (2011). Wavelet-Based Analysis of Power System Low-Frequency Electromechanical Oscillations. IEEE TRANSACTIONS ON POWER SYSTEMS, 26(3), 1733-1743.
Wall, P., Dattaray, P., Jin, Z., Mohapatra, P., Yu, J., Wilson, D., . . . Terzija, V. (2016). Deployment and Demonstration of Wide Area Monitoring System in Power System of Great Britain. J. Mod. Power Syst. Clean Energy, 4(3), 506-518.
Wang, Z., & Bovik, A. C. (2009). Mean Squared Error: Love It or Leave It? A new look at signal fidelity measures. IEEE Signal Processing Magazine, 26(1), 98-117.
Yin, S., Hu, N., & Hu, L. (2015). Teager Energy Operator and its Application in the Study of Induction Motor Rotor Broken Bars Fault. Prognostics and System Health Management Conference. Beijing.
Zhang, Y., Wang, Z., & Zhang, J. (2012). Bayesian Fault Detection Based on WAMS/PMU Measurement System. Power and Energy Society General Meeting, 2012 IEEE. San Diego.
