State Estimation

  • A.G. Phadke
  • J.S. Thorp
Part of the Power Electronics and Power Systems book series (PEPS)


Phasor Measurement Incidence Matrix Line Current Load Flow Voltage Magnitude 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Allemong, J.J., et. al., “A fast and reliable state estimation algorithm for AEP’s new control center”, IEEE Transactions on PAS, Vol. 101, No. 4, April 1982, pp 933–944.CrossRefGoogle Scholar
  2. 2.
    Dopazo, J.F., et. al., “Implementation of the AEP real-time monitoring system”, IEEE Transactions on PAS, Vol. 95, No. 5, September/October 1975, pp 1618–1529.CrossRefGoogle Scholar
  3. 3.
    Handshin, E.,, “Bad data analysis for power system static state estimation”, IEEE Transactions on PAS, Vol. 94, No. 2, March/April 1975, pp 329–337.CrossRefGoogle Scholar
  4. 4.
    Monticelli, A., Wu, F.F., and Yen, M., “Multiple bad data identification for state estimation using combinatorial optimization”, IEEE PAS-90, November/December 1971, pp 2718–2725.Google Scholar
  5. 5.
    Nuki, R.F. and Phadke, A.G., “Phasor measurement placement techniques for complete and incomplete observability”, IEEE Transactions on Power Delivery, Vol. 20, No. 4, October 2005, pp 2381–2388.CrossRefGoogle Scholar
  6. 6.
    Gou, B. and Abur, A., “An improved measurement placement algorithm for network observability”, IEEE Transactions on Power Systems, Vol. 16, No. 4, November 2001, pp 819–824.Google Scholar
  7. 7.
    Abur, A. “Optimal placement of phasor measurements units for state estimation”, PSERC Publication 06-58, October 2005.Google Scholar
  8. 8.
    Phadke, A.G. and Thorp, J.S., “Computer Relaying for Power Systems”, Research Studies Press, Somerset, England, 1988.Google Scholar
  9. 9.
    Thorp, J.S., Phadke, A.G., and Karimi, K.J., “Real-time voltage phasor measurements for static state estimation”, IEEE Transactions on PAS, Vol. 104, No. 11, November 1985, pp 3098–3107.CrossRefGoogle Scholar
  10. 10.
    Phadke, A.G., Thorp, J.S., and Karimi, K.J., “State estimation with phasor measurements”, IEEE Transactions on PWRS, Vol. 1, No. 1, February 1986, pp 233–241.MATHGoogle Scholar
  11. 11.
    Zhou, M., et al., “An alternative for including phasor measurements in state estimation”, IEEE Transactions on Power Systems, Vol. 21, No. 4, November 2006, pp 1930–1937.CrossRefGoogle Scholar
  12. 12.
    Korevaar, N. “Incidence is no coincidence”, University of Utah Math Circle, October 2002.Google Scholar
  13. 13.
    Jeffers, R., “Wide area state estimation techniques using phasor measurement data” Virginia Tech Report prepared for Tennessee Valley Authority, March 2007.Google Scholar
  14. 14.
    Zhong, S. and Abur, A., “Combined state estination and measurement calibration”, IEEE Transactions on Power Systems, Vol. 20, No. 1, February 2005, pp 458–465.CrossRefGoogle Scholar
  15. 15.
    Adibi, M.M. and Kafka, R.J., “Minimization of uncertainties in analog measurements for use in state estimation”, IEEE Transactions on Power Systems, Vol. 5, No. 3, August 1990, pp 902–910.CrossRefGoogle Scholar
  16. 16.
    Zhou, M., Ph.D. Dissertation, Virginia Tech March 2008, “Phasor Measurement Unit Calibration and Applications in State Estimation”.Google Scholar
  17. 17.
    Debs. A.S., Larson, R.E., “A dynamic estimator for tracking the state of a power system”, IEEE Transactions on Power Apparatus Systems, Vol. PAS-893, No. 7, September/October 1970, pp 1670–1678.CrossRefGoogle Scholar
  18. 18.
    Gelb, A., “Applied Optimal Filtering”, MIT Press, Cambridge, 1974.Google Scholar
  19. 19.
    Pilay, P., Phadke, A.G., Linders, D.K., Thorp, J.S., “State Estimation for a Synchronous Machine: Observer and Kalman Filter Approach”, Princeton Conference, 1987.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • A.G. Phadke
    • 1
  • J.S. Thorp
    • 1
  1. 1.Virginia Polytechnic Institute and State UniversityBlacksburgUSA

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