Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique

Authors: Samir Avdakovic, Amir Nuhanovic

Abstract:

Low frequency power oscillations may be triggered by many events in the system. Most oscillations are damped by the system, but undamped oscillations can lead to system collapse. Oscillations develop as a result of rotor acceleration/deceleration following a change in active power transfer from a generator. Like the operations limits, the monitoring of power system oscillating modes is a relevant aspect of power system operation and control. Unprevented low-frequency power swings can be cause of cascading outages that can rapidly extend effect on wide region. On this regard, a Wide Area Monitoring, Protection and Control Systems (WAMPCS) help in detecting such phenomena and assess power system dynamics security. The monitoring of power system electromechanical oscillations is very important in the frame of modern power system management and control. In first part, this paper compares the different technique for identification of power system oscillations. Second part analyzes possible identification some power system dynamics behaviors Using Wide Area Monitoring Systems (WAMS) based on Phasor Measurement Units (PMUs) and wavelet technique.

Keywords: Power system oscillations, Modal analysis, Prony, Wavelet, PMU, Wide Area Monitoring System.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073028

References:

[1] B. Pai, B. Chaudhuri, Robust Control in Power Systems, New York, Springer, 2005.
[2] P. Kundur, Power System Stability and Control, New York, McGraw- Hill Inc., 1994.
[3] D. Novosel, M. Begovic, V. Madani, "Shedding Light on Blackouts", IEEE Power and Energy Magazine, vol. 2, February 2004, pp. 32-43.
[4] D. Novosel, V. Madani, B. Bhargava, K. Vu, J. Cole, "Down of the Synchronization", IEEE Power and Energy Magazine, vol. 6, December 2008, pp. 91-97.
[5] M. Kusljugic, D. Novosel, M. Glavic, J.A.D. Pinto, "Wide Area Monitoring of Power System Dynamics", presented at the International Conference on Electrical Engineering, CEE05 Coimbra, Portugal, 2005.
[6] A.G.Phadke, J.S.Thorp, Synchronized Phasor Measurements and Their Applications. New York: Springer, 2008.
[7] IEEE/CIGRE Joint Task Force on Stability Terms and Definitions, Definition and Classification of Power System Stability, IEEE Trans. Power Systems, vol. 19, 2004, 1387-1399.
[8] I. Ngamroo, Y. Mitani, S. Dechanupapritta, PMU Based Monitoring of Inter-Area Oscillation in Thailand Power System via Home Power Outlets, ECTI Transactions On Electrical Eng., Electronics, And Communications, vol. 5, August 2007, 199-205.
[9] T. Hashiguchi, Y. Mitani, O. Saeki, K. Tsuji, M. Hojo, H.Ukai, "Monitoring power system dynamics based on phasor measurements from demand side outlets developed in Japan Western 60 Hz System", presented at the Power Systems Conference and Exposition, IEEE PES, vol. 2, Oct. 2004, 1183- 1189.
[10] M. Bronzini, S. Bruno, De Benedictis, La Scala, Taking the pulse of Power Systems: Monitoring Oscillations by Wavelet Analysis and Wide Area Measurement System, IEEE-PES Power Systems Conference and Exposition, Atlanta, USA, vol. 1, 2006, 436-443.
[11] L. Qi, L. Qian, S. Woodruff, D. Cartes, "Prony Analysis for Power System Transient Harmonics", EURASIP Journal on Advances in Signal Processing, vol. 2007, no. 48406, December, 2006.
[12] N. Zhang, M. Kezunovic, Transmission Line Boundary Protction Using Wavelet Transform and Neural Network, IEEE Transaction On Power Delivery, vol. 22, 2007, 859-869.
[13] S. Nath, A. Dey, A. Chakrabarti, Detection of Power Quality Disturbances Using Wavelet Transform, Proceedings of World Academy of Science, Engineering and Technology, vol. 37, 2009, 2070-3740.
[14] S.Sutha, N.Kamaraj, Real Power Contingency Ranking Using Wavelet Transform Based Artificial Neural Network (WNN), International Journal of Electrical and Power Engineering- Medwell Journals, vol. 2, 2008, 116-121.
[15] K.Gayathri, N. Kumarappan, Comparative Study of Fault Identification and Classification on EHV Lines Using Discrete Wavelet Transform and Fourier Transform Based ANN, International Journal of Electrical, Computer, and Systems Engineering, vol. 2, 2008, 127-137.
[16] M. Uyara, S. Yildirima, M. T. Gencoglub, An Effective Wavelet-based Feature Extraction Method For Classification of Power Quality Disturbance Signals, Electric Power Systems Research, vol. 78, 2008, 1747-1755.
[17] B.Mohammadi-Ivatloo, Optimal placement of PMUs for Power System Observability Using Topology Based Formulated Algorithms, Journal of Applied Science, vol. 9, 2009, 2463-2468.
[18] H. Breulmann, E. Grebe, M. Lösing, W. Winter, R. Witzmann, P. Dupuis, M.P. Houry, T. Margotin, J. Zerenyi, . Dudzik, PSE S.A., J. Machowski, L. Mart├¡n, J. M. Rodr├¡guez, E. Urretavizcaya, "Analysis and Damping of Inter-Area Oscillations in the UCTE/CENTREL Power System", CIGRE 2000, pp 38-113. Paris, France, 2000.
[19] M.Hojo, K. Ohnishi, T. Ohnishi, "Analysis Of Load Frequency Control Dynamics Based On Multiple Synchronized Phasor Measurements", Power Engineering Society General Meeting, vol. 2, July 2003, 13-17.