Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique
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.
[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. Martín, J. M. Rodríguez, 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.
[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. Martín, J. M. Rodríguez, 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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:58645", author = "Samir Avdakovic and Amir Nuhanovic", title = "Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique", 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.", volume = "4", number = "3", pages = "581-8", }