A dependency graph approach for fault detection and localization towards secure smart grid

IEEE Transactions on Smart Grid

Volumn 2, Issue 2, 2011, Pages 342-351

  He, Miao ^a   Zhang, Junshan ^a  

^a Arizona State University   (United States)

Author keywords

Dependency graph; fault localization; Markov random field; multiscale decomposition; network inference; smart grid

Indexed keywords

DEPENDENCY GRAPHS; FAULT LOCALIZATION; MARKOV RANDOM FIELD; MULTI-SCALE DECOMPOSITION; NETWORK INFERENCE; SMART GRID;

ELECTRIC NETWORK TOPOLOGY; HIERARCHICAL SYSTEMS; INFERENCE ENGINES; POWER TRANSMISSION; SMART POWER GRIDS;

FAULT DETECTION;

EID: 79957710498     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2011.2129544     Document Type: Article

References (27)

1. R. Leon, V. Vittal, and G. Manimaran, "Application of sensor network for secure electric energy infrastructure," IEEE Trans. Power Del., vol. 22, pp. 1021-1028, Apr. 2007. (Pubitemid 46566711)
2. A. Phadke, "Synchronized phasor measurements-a historical overview," in Proc. IEEE/PES Transm. Distrib. Conf. Exhib.: Asia Pacific., Oct. 2002, vol. 1, pp. 476-479.
3. R. Diao, K. Sun, V. Vittal, R. O'Keefe, M. Richardson, N. Bhatt, D. Stradford, and S. Sarawgi, "Decision tree-based online voltage security assessment using pmu measurements," IEEE Trans. Power Syst., vol. 24, pp. 832-839, May 2009.
4. J. Tate and T. Overbye, "Line outage detection using phasor anglemeasurements," IEEE Trans. Power Syst., vol. 23, pp. 1644-1652, Nov. 2008.
5. J. Zhu and A. Abur, "Improvements in network parameter error identification via synchronized phasors," IEEE Trans. Power Syst., vol. 25, pp. 44-50, Feb. 2010.
6. M. He and J. Zhang, "Fault detection and localization in smart grid: A probabilistic dependence graph approach," in Proc. 2010 1st IEEE Int. Conf. SmartGridComm, 2010, pp. 43-48.
7. N. Zhang and M. Kezunovic, "Improving real-time fault analysis and validating relay operations to prevent or mitigate cascading blackouts," in Proc. IEEE PES Transm. Distrib. Conf. Exhib., May 2006, pp. 847-852. (Pubitemid 46894434)
8. M. J. Wainwright and M. I. Jordan, "Graphical models, exponential families, and variational inference," Found. Trends Mach. Learn., vol. 1, no. 1-2, pp. 1-305, 2008.
9. M. Luettgen, W. Karl, A. Willsky, and R. Tenney, "Multiscale representations of Markov randomfields," IEEE Trans. Signal Process., vol. 41, pp. 3377-3396, Dec. 1993.
10. A. Anandkumar, L. Tong, and A. Swami, "Detection of Gauss-Markov random fields with nearest-neighbor dependency," IEEE Trans. Inf. Theory, vol. 55, pp. 816-827, Feb. 2009.
11. S. Krishnamachari and R. Chellappa, "Multiresolution Gauss-Markov random field models for texture segmentation," IEEE Trans. Image Process., vol. 6, pp. 251-267, Feb. 1997. (Pubitemid 127766383)
12. J. M. Hammersley and P. Clifford, "Markov fields on finite graphs and lattices," 1971, unpublished.
13. J. Tate and T. Overbye, "Double line outage detection using phasor angle measurements," in Proc. IEEE Power Energy Soc. Gen. Meet. (PES), Jul. 2009, pp. 1-5.
14. P. Perez and F. Heitz, "Restriction of a Markov random field on a graph andmultiresolution statistical imagemodeling," IEEE Trans. Inf. Theory, vol. 42, pp. 180-190, Jan. 1996.
15. R. Christie, B. Wollenberg, and I. Wangensteen, "Transmission management in the deregulated environment," Proc. IEEE, vol. 88, pp. 170-195, Feb. 2000. (Pubitemid 30558108)
16. J. Dopazo, O. Klitin, and A. Sasson, "Stochastic load flows," IEEE Trans. Power App. Syst., vol. PAS-94, pp. 299-309, Mar. 1975.
17. P. Perez and F. Heitz, Restriction of Markov random field on a graph and multiresolution image analysis, INRIA Tech., Rep. 2170, Mar. 1994.
18. A. Schellenberg, W. Rosehart, and J. Aguado, "Cumulant-based probabilistic optimal power flow (p-opf) with Gaussian and Gamma distributions," IEEE Trans. Power Syst., vol. 20, pp. 773-781, May 2005. (Pubitemid 40699707)
19. A. Meliopoulos, G. Cokkinides, and X. Chao, "A new probabilistic power flow analysis method," IEEE Trans. Power Syst., vol. 5, pp. 182-190, Feb. 1990. (Pubitemid 20666078)
20. M.G.Morgan, J.Apt, L. B. Lave,M.D. Ilic, M. Sirbu, and J.M. Peha, The many meanings of smart grid, [Online]. Available: http://wpweb2. tepper.cmu.edu/ceic/papers/SmartGrid.htm
21. H. Rue and L. Held, Gaussian Markov Random Fields: Theory and Applications. London, U.K.: Chapman & Hall/CRC, 2005.
22. N. H. Timm, Applied Multivariate Analysis, ser. Springer Texts in Statistics. New York: Springer, 2002.
23. D.M.Malioutov, J. K. Johnson, and A. S.Willsky, "Walk-sums and belief propagation in Gaussian graphical models," J. Mach. Learn. Res., vol. 1, no. 7, pp. 2031-2064, 2006. (Pubitemid 44497455)
24. J. Dahl, V. Roychowdhury, and L. Vandenberghe, "Covariance selection for nonchordal graphs via chordal embedding," Optim. Methods Softw., vol. 23, no. 4, pp. 501-520, 2005.
25. A. Dogandzic and B. Zhang, "Distributed estimation and detection for sensor networks using hidden Markov random field models," IEEE Trans. Signal Process., vol. 54, no. 8, pp. 3200-3215, 2006. (Pubitemid 44131768)
26. M. Girvan and M. Newman, "Community structure in social and biological networks," Proc. Natl. Acad. Sci., vol. 99, no. 1, pp. 7821-7826, 2002. (Pubitemid 34650963)
27. MATPOWER [Online]. Available: http://www.pserc.cornell.edu/matpower