Feasibility studies of applying Kalman Filter techniques to power system dynamic state estimation

8th International Power Engineering Conference, IPEC 2007

Volumn , Issue , 2007, Pages 376-382

  Huang, Zhenyu ^a,b   Schneider, Kevin ^a,b   Nieplocha, Jarek ^b  

^a IEEE

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Dynamic simulation; Dynamic state estimation; Kalman Filter; Power system operations; State estimation

Indexed keywords

COMPUTER NETWORKS; CONTROL THEORY; DECISION MAKING; ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; KALMAN FILTERS; PLANNING; POWER TRANSMISSION; RESOURCE ALLOCATION; WAVE FILTERS;

DYNAMIC SIMULATION; DYNAMIC STATE ESTIMATION; KALMAN FILTER; POWER SYSTEM OPERATIONS;

STATE ESTIMATION;

EID: 51349158110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Atif S. Debs, Robert E. Larson, "A Dynamic Estimation for Tracking the State of a Power System," IEEE Transaetions on Power Apparatus and Systems, vol. PAS-89, no. 7, September/October, 1970.
2. J.K. Mandal, A.K. Sinha, and L. Roy, "Incorporating Nonlinearity of Measurement Function in Power System Dynamic State Estimation," IEE Proc.-Gener. Transm. Distrib., vol. 142, no. 3, May 1995.
3. S.J. Huang, and K.-R. Shih, "Dynamic-State-Estimation Scheme Including Nonlinear Measurement Function Considerations," IEE Proc.-Gener. Transm. Distrib., vol. 149, no. 6, November 2002.
4. Kuang-Rong Shih and Shyh-Jier Huang, "Application of a Robust Algorithm for Dynamic State Estimation of a Power System," IEEE Transactions on Power Systems, Vol. 17, No. 1, February 2002.
5. Jaewon Chang; Taranto, G.N.; Chow, J.H.; "Dynamic state estimation in power system using a gain-scheduled nonlinear observer," Proceedings of the 4th ieee Conference on Control Applications, 28-29 Sept. 1995 Page(s):221-226.
6. E. Scholtz, P. Sonthikorn, G.C. Verghese, and B.C. Lesieutre, "Observers for Swing-State Estimation of Power Systems," North American Power Symposium, Arizona State University. October 2002.
7. Greg Welch, and Gary Bishop, "An introduction to the Kalman Filter," TR 95-041, Department of Computer Science, University of North Carolina at Chapel Hill, April 2004.
8. P. Sauer and M.A. Pai, Power System Dynamics and Stability, Prentice Hall Inc., 1998.