Preliminary work to classify the disturbance events recorded by phasor measurement units

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2012, Pages

  Dahal, Om P ^a   Brahma, Sukumar M ^a  

^a New Mexico State University   (United States)

Author keywords

Event classification; feature extraction; phasor measurement unit; wide area monitoring

Indexed keywords

EVENT CLASSIFICATION; LIMITED DATA; NEW MEXICO; PHASOR DATA CONCENTRATORS; PHASOR MEASUREMENT UNIT; PUBLIC SERVICES; REAL-TIME IDENTIFICATION; WIDE AREA MONITORING;

FEATURE EXTRACTION; UNITS OF MEASUREMENT;

ELECTRIC POWER SYSTEM INTERCONNECTION;

EID: 84870577608     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PESGM.2012.6344715     Document Type: Conference Paper

References (51)

1. A. G. Phadke, "Synchronized phasor measurements in power systems," Computer Applications in Power, IEEE, vol. 6, no. 2, pp. 10-15, Sept. 1993.
2. A. G. Phadke and R. M. de Moraes, "The wide world of wide-area measurement," Power and Energy Magazine, IEEE, vol. 6, no. 5, pp. 52-65, september-october 2008.
3. R. O. Burnett, M. M. Butts, and P. S. Sterlina, "Power system applications for phasor measurement units," Computer Applications in Power, IEEE, vol. 7, no. 1, pp. 8-13, Jan. 1994.
4. M. Zhou, V. A. Centeno, J. S. Thorp, and A. G. Phadke, "An alternative for including phasor measurements in state estimators," Power Systems, IEEE Transactions on, vol. 21, no. 4, pp. 1930-1937, Nov. 2006.
5. L. Vanfretti, J. H. Chow, S. Sarawgi, and B. Fardanesh, "A phasordata-based state estimator incorporating phase bias correction," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 111-119, Feb. 2011.
6. M. J. Rice and G. T. Heydt, "Power systems state estimation accuracy enhancement through the use of PMU measurements," in Transmission and Distribution Conference and Exhibition, 2005/2006 IEEE PES, May 2006, pp. 161-165.
7. E. Farantatos, G. K. Stefopoulos, G. J. Cokkinides, and A. P. Meliopoulos, "PMU-based dynamic state estimation for electric power systems," in Power Energy Society General Meeting, 2009. PES '09. IEEE, July 2009, pp. 1-8.
8. J. F. Hauer, D. J. Trudnowski, and J. G. DeSteese, "A perspective on wams analysis tools for tracking of oscillatory dynamics," in Power Engineering Society General Meeting, 2007. IEEE, June 2007, pp. 1-10.
9. K. Uhlen, L. Warland, J. O. Gjerde, O. Breidablik, M. Uusitalo, A. B. Leirbukt, and P. Korba, "Monitoring amplitude, frequency and damping of power system oscillations with PMU measurements," in Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July 2008, pp. 1-7.
10. J. Xiao, X. Xie, Y. Han, and J. Wu, "Dynamic tracking of low-frequency oscillations with improved prony method in wide-area measurement system," in Power Engineering Society General Meeting, 2004. IEEE, vol. 1, June 2004, pp. 1104-1109.
11. P. Tripath, S. C. Srivastava, and S. N. Singh, "An improved prony method for identifying low frequency oscillations using synchro-phasor measurements," in Power Systems, 2009. ICPS '09. International Conference on, Dec. 2009, pp. 1-5.
12. N. Zhou, Z. Huang, F. Tuffner, J. Pierre, and S. Jin, "Automatic implementation of prony analysis for electromechanical mode identification from phasor measurements," in Power and Energy Society General Meeting, 2010 IEEE, July 2010, pp. 1-8.
13. A. R. Messina and V. Vittal, "Extraction of dynamic patterns from wide-area measurements using empirical orthogonal functions," Power Systems, IEEE Transactions on, vol. 22, no. 2, pp. 682-692, May 2007.
14. F. Lezama Zarraga, "On-line extraction of modal characteristics from power system measurements based on hilbert-huang analysis," in Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on, Jan. 2009, pp. 1-6.
15. A. R. Messina, V. Vittal, D. Ruiz Vega, and G. Enriquez Harper, "Interpretation and visualization of wide-area PMU measurements using hilbert analysis," Power Systems, IEEE Transactions on, vol. 21, no. 4, pp. 1763-1771, Nov. 2006.
16. J. H. Chow, L. Vanfretti, A. Armenia, S. Ghiocel, S. Sarawgi, N. Bhatt, D. Bertagnolli, M. Shukla, X. Luo, D. Ellis, D. Fan, M. Patel, A. Hunter, D. Barber, and G. Kobet, "Preliminary synchronized phasor data analysis of disturbance events in the us eastern interconnection," in Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES, March 2009, pp. 1-8.
17. L. Vanfretti and J. H. Chow, "Identification of dominant inter-area modes in the eastern interconnection from PMU data of the FRCC 2008 disturbance: an eigensystem realization algorithm illustration," in White Paper submitted for a Special Publication of the Task Force on Modal Identification of Electromechanical Modes, IEEE PES Society, July 2010.
18. S. Corsi and G. N. Taranto, "A real-time voltage instability identification algorithm based on local phasor measurements," Power Systems, IEEE Transactions on, vol. 23, no. 3, pp. 1271-1279, Aug. 2008.
19. J. Quintero, G. Liu, and V. Venkatasubramanian, "An oscillation monitoring system for real-time detection of small-signal instability in large electric power systems," in Power Engineering Society General Meeting, 2007. IEEE, June 2007, pp. 1-8.
20. I. Kamwa, S. R. Samantaray, and G. Joos, "Development of rule-based classifiers for rapid stability assessment of wide-area post-disturbance records," Power Systems, IEEE Transactions on, vol. 24, no. 1, pp. 258-270, Feb. 2009.
21. B. B. Monchusi, Y. Mitani, L. Changsong, and S. Dechanupaprittha, "PMU based power system stability analysis," in TENCON 2008 - 2008 IEEE Region 10 Conference, Nov. 2008, pp. 1-5.
22. A. P. S. Meliopoulos, G. J. Cokkinides, O. Wasynczuk, E. Coyle, M. Bell, C. Hoffmann, C. Nita Rotaru, T. Downar, L. Tsoukalas, and R. Gao, "PMU data characterization and application to stability monitoring," in Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES, Nov. 2006, pp. 151-158.
23. F. R. Gomez, A. D. Rajapakse, U. D. Annakkage, and I. T. Fernando, "Support vector machine-based algorithm for post-fault transient stability status prediction using synchronized measurements," Power Systems, IEEE Transactions on, vol. 26, no. 3, pp. 1474-1483, Aug. 2011.
24. I. Kamwa, S. R. Samantaray, and G. Joos, "Catastrophe predictors from ensemble decision-tree learning of wide-area severity indices," Smart Grid, IEEE Transactions on, vol. 1, no. 2, pp. 144-158, Sept. 2010.
25. R. Diao, K. Sun, V. Vittal, R. J. O'Keefe, M. R. Richardson, N. Bhatt, D. Stradford, and S. K. Sarawgi, "Decision tree-based online voltage security assessment using PMU measurements," Power Systems, IEEE Transactions on, vol. 24, no. 2, pp. 832-839, May 2009.
26. N. Hadjsaid, C. Surdu, and M. Eremia, "Real time issues for dynamic security assessment," in Power Engineering Society General Meeting, 2006. IEEE, 0-0 2006, p. 2 pp.
27. EPRI, "Phasor measurement unit (PMU) implementation and applications, final report," Oct. 2007.
28. C. S. Chen, C. W. Liu, and J. A. Jiang, "A new adaptive PMU based protection scheme for transposed/untransposed parallel transmission lines," Power Delivery, IEEE Transactions on, vol. 17, no. 2, pp. 395-404, Apr 2002.
29. J. A. Jiang, C. W. Liu, and C. S. Chen, "A novel adaptive PMU based transmission line relay: Design and emtp simulation results," Power Engineering Review, IEEE, vol. 22, no. 7, p. 61, July 2002.
30. P. V. Navalkar and S. A. Soman, "Secure remote backup protection of transmission lines using synchrophasors," Power Delivery, IEEE Transactions on, vol. 26, no. 1, pp. 87-96, Jan. 2011.
31. Y. H. Lin, C. W. Liu, and C. S. Chen, "A new PMU-based fault detection/location technique for transmission lines with consideration of arcing fault discrimination-part I: theory and algorithms," Power Delivery, IEEE Transactions on, vol. 19, no. 4, pp. 1587 - 1593, Oct. 2004.
32. -, "A new PMU-based fault detection/location technique for transmission lines with consideration of arcing fault discrimination-part II: performance evaluation," Power Delivery, IEEE Transactions on, vol. 19, no. 4, pp. 1594 - 1601, Oct. 2004.
33. J. Ma, P. Zhang, H. jun Fu, B. Bo, and Z. yang Dong, "Application of phasor measurement unit on locating disturbance source for lowfrequency oscillation," Smart Grid, IEEE Transactions on, vol. 1, no. 3, pp. 340-346, Dec. 2010.
34. F. Lingling, R. Kavasseri, M. Zhixin, D. Osborn, and T. Bilke, "Identification of system wide disturbances using synchronized phasor data and ellipsoid method," in Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July 2008, pp. 1-10.
35. J. Ma, Y. V. Makarov, C. H. Miller, and T. B. Nguyen, "Use multidimensional ellipsoid to monitor dynamic behavior of power systems based on PMU measurement," in Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July 2008, pp. 1-8.
36. "Regional disturbance monitoring and reporting requirements, north american electric reliability corporation, washington, DC,USA," NERC Standard PRC-002-1, p. i, August 2006.
37. M. Adamiak and R. Hunt, "Application of phasor measurement units for disturbance recording," in presented at the 10th Annual Georgia Tech Fault and Disturbance Analysis Conference, Atlanta, GA, USA, MAY 2007.
38. A. Bykhovsky and J. H. Chow, "Power system disturbance identification from recorded dynamic data at the northfield substation," International Journal of Electrical Power Energy Systems, vol. 25, no. 10, pp. 787-795, Dec. 2003.
39. W. Gao and J. Ning, "Wavelet-based disturbance analysis for power system wide-area monitoring," Smart Grid, IEEE Transactions on, vol. 2, no. 1, pp. 121-130, march 2011.
40. T. S. Bi, X. N. Song, J. T. Wu, and Q. X. Yang, "Novel method for disturbance identification in power systems," in Power Engineering Society General Meeting, 2006. IEEE, 2006.
41. J. Ma, R. Diao, Y. V. Makarov, P. V. Etingov, N. Zhou, and J. E. Dagle, "Building decision trees for characteristic ellipsoid method to monitor power system transient behaviors," in Power and Energy Society General Meeting, 2010 IEEE, July 2010, pp. 1-8.
42. "IEEE standard for synchrophasors for power systems," IEEE Std C37.118-2005 (Revision of IEEE Std 1344-1995), 2006.
43. J. F. Hauer, C. J. Demeure, and L. L. Scharf, "Initial results in prony analysis of power system response signals," Power Systems, IEEE Transactions on, vol. 5, no. 1, pp. 80-89, Feb. 1990.
44. J. F. Hauer, "Application of prony analysis to the determination of modal content and equivalent models for measured power system response," Power Systems, IEEE Transactions on, vol. 6, no. 3, pp. 1062-1068, Aug. 1991.
45. D. J. Trudnowski, J. M. Johnson, and J. F. Hauer, "Making prony analysis more accurate using multiple signals," Power Systems, IEEE Transactions on, vol. 14, no. 1, pp. 226-231, Feb 1999.
46. P. Kumar and E. A. Yildirim, "Minimum-volume enclosing ellipsoids and core sets," J. Optim. Theory Appl., vol. 126, pp. 1-21, 2005.
47. L. G. Khachiyan, "Rounding of polytopes in the real number model of computation," Math. Oper. Res., vol. 21, pp. 307-320, 1996.
48. N. Moshtagh, Lockheed Martin Space Systems Company, "Minimum volume enclosing ellipsoids." [Online]. Available: http://sites.google.com/site/ nimamoshtagh/software/MVEE.pdf
49. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, The WEKA Data Mining Software: An Update; SIGKDD Explorations, 2009, vol. 11.
50. J. Quinlan, C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
51. L. Breiman, J. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Belmont,CA: Wadsworth, 1984.