Dynamic joint outage identification and state estimation in power systems

Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Joint outage identification and state estimation is studied in power systems in which cascading outages dynamically develop and network states dynamically evolve. A recursive algorithm is developed that computes in closed form the joint posterior of cascades and network states at every time step. A beam search technique is employed that prevents the number of cascades to compute from growing exponentially. Because the joint posterior is a sufficient statistic for jointly identifying the cascades and estimating the states, the derived closed forms can be applied to develop the optimal dynamic joint detector and estimator under any performance criterion. We simulate cascading line outages with uncertain network states in the IEEE 14-bus and 57-bus systems, and the proposed algorithm is evaluated for dynamically identifying outages and estimating states at every time step. It is observed that retaining just a few cascades in the beam search can achieve a joint identification and estimation performance close to that with all cascades retained.

Original languageEnglish (US)
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1138-1142
Number of pages5
ISBN (Electronic)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2015-April
ISSN (Print)1058-6393

Other

Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/2/1411/5/14

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Zhao, Y., Chen, J., Goldsmith, A., & Poor, H. V. (2015). Dynamic joint outage identification and state estimation in power systems. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (pp. 1138-1142). [7094635] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094635