Skip to main content

Part of the book series: Power Electronics and Power Systems ((PEPS))

Abstract

The ability to perform state estimation depends on whether sufficient measurements are well distributed throughout the system. If enough measurements are available to make state estimation possible, the network is considered to be observable. If a network is not observable, it is still useful to know which portion has a state which can be estimated (observable islands). In this chapter, three observability analysis methodologies for state estimation are discussed: topological, numerical, and hybrid, and the concept of extended observable islands is presented. Network modeling at the physical level, which is an essential characteristic of generalized state estimation, is also discussed. In this type of model, short-circuit branches and open/closed breakers and switches can be explicitly represented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Allemong, J.J., Irisarri, G.D. and Sasson, A.M., “An examination of solvability for state estimation algorithms”, Paper A80-008-3, IEEE PES Winter Meeting, New York, NY, 1980.

    Google Scholar 

  • Clements, K.A. and Wollenberg, B.F., “An algorithm for observability determination in power system state estimation”, paper A75 447-3, IEEE/PES Summer Meeting, San Francisco, CA, July 1975.

    Google Scholar 

  • Clements, K.A., Krumpholz, G.R. and Davis, P.W., “Power system state estimation residual analysis: An algorithm using network topology”, IEEE Trans. Power Apparatus and Systems, Vol. 100, pp. 1779–1787, April, 1981.

    Article  Google Scholar 

  • Clements, K.A.,. Krumpholz, G.R and Davis, P.W., “Power system state estimation with measurement deficiency: An observability/measurement placement algorithm”, IEEE Trans. Power Apparatus and Systems, Vol. 101, No. 9, pp. 3044–3052, Sept. 1982.

    Article  Google Scholar 

  • Clements, K.A, Krumpholz, G.R. and. Davis, P.W., “Power system state estimation with measurement deficiency: An algorithm that determines the maximal observable network”, IEEE Trans. Power Apparatus and Systems, Vol. 102, No. 7, pp. 2012–2020, Aug. 1983.

    Article  Google Scholar 

  • Clements, K.A, “Observability methods and optimal meter placement”, Int. J. Elec. Power, Vol. 12, No. 2, pp. 89–93, April 1990.

    Article  MathSciNet  Google Scholar 

  • Contaxis, G.C. and Korres, G.N., “A reduced model for power system observability analysis and restoration”, IEEE Trans. in Power Systems, Vol. 3, No. 4, pp. 1411–1417, Nov. 1988.

    Article  Google Scholar 

  • Krumpholz, G. R., Clements, K.A. and Davis, P.W., “Power system observability analysis: A practical algorithm using network topology”, IEEE Trans. Power Apparatus and Systems, Vol. 99, pp.1534–1542, July/Aug., 1980.

    Article  Google Scholar 

  • Monticelli, A. and Wu, F.F., “A method that combines internal state estimation and external network modeling”, IEEE Trans. PAS, Vol. 104, No. 1, Jan. 1983.

    Google Scholar 

  • Monticelli, A. and Wu, F.F., “Network observability: Theory”, IEEE Trans. PAS, Vol. 104, No. 5, pp. 1035–1041, May 1985.

    Google Scholar 

  • Monticelli, A. and Wu, F.F., “Network observability: Identification of observable islands and measurement placement”, IEEE Trans. on Power Apparatus and System, Vol. 104, No. 5, pp. 1042–1048, May 1985.

    Article  Google Scholar 

  • Monticelli, A. and Wu, F.F., “Observability analysis for orthogonal transformation based state estimation”, IEEE Trans. on Power Systems, Vol. 1, No. 1, pp. 201–206, Feb. 1986.

    Article  Google Scholar 

  • Monticelli, A., “The impact of modeling short circuit branches in state estimation”, Paper 92 WM 186-7-on Power Systems, 1992 Winter Meeting, New York, Jan. 1992.

    Google Scholar 

  • Monticelli, A., Garcia, A. and Slutsker, I., “Handling Discardable Measurements in Power System State Estimation”, IEEE Trans. on Power Systems, Vol. 7, pp. 1341–1349, Aug. 1992.

    Article  Google Scholar 

  • Monticelli, A., “Modeling Circuit Breakers in Weighted Least Squares State Estimation”, IEEE Trans,. on Power Systems, Vol. 8, No. 3, pp. 1143–1149, Aug. 1993.

    Article  Google Scholar 

  • Nucera, R.R., Brandwajn, V., and Gilles, M.L., “Observability analysis and bad data — Analysis using augmented blocked matrices”, IEEE Trans. Power Syst., Vol. 8, No. 2, pp. 426–433, May 1993.

    Article  Google Scholar 

  • Quintana, V.H., Simões-Costa, A, and Mandel, A., “Power system topological bservability using a direct graph-theoretic approach”, IEEE Trans. on Power Systems, Vol. 101, No. 3, pp. 617–626, 1982.

    Article  Google Scholar 

  • Steward, G.W., Introduction to Matrix Computations, Academic Press, 1973.

    Google Scholar 

  • Wu, F.F., Liu, E.H.E, and Lun, S.M. “Observability analysis and bad data-processing for state estimation with equality constraints”, IEEE Trans. Power Syst., Vol. 3, No. 2, pp. 541–578, May 1988.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Monticelli, A. (1999). Observability Analysis. In: State Estimation in Electric Power Systems. Power Electronics and Power Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4999-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-4999-4_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7270-7

  • Online ISBN: 978-1-4615-4999-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics