Semidefinite programming for power system state estimation

Yang Weng, Qiao Li, Rohit Negi, Marija Ilic

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

26 Citations (Scopus)

Abstract

State Estimation (SE) plays a key role in power system operation and management. For AC power system state estimation, SE is usually formalized mathematically as a Weighted Least Square or Weighted Least Absolute Value problem, and solved by Newton's method. Although computationally tractable, Newton's method is highly sensitive to the initial point, as it is essentially a local search algorithm. In this paper, we propose a Semidefinite Programming (SDP) approach to effectively obtain a good initial state to improve the performance of the existing Newton's method. Our simulation results not only show that the SDP initial guess is much better than the currently used flat start on the IEEE standard bus systems, but also demonstrates approximately globally optimal results, with a lower bound provided in this paper.

Original languageEnglish (US)
Title of host publication2012 IEEE Power and Energy Society General Meeting, PES 2012
DOIs
StatePublished - Dec 11 2012
Externally publishedYes
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duration: Jul 22 2012Jul 26 2012

Other

Other2012 IEEE Power and Energy Society General Meeting, PES 2012
CountryUnited States
CitySan Diego, CA
Period7/22/127/26/12

Fingerprint

State estimation
Newton-Raphson method

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Weng, Y., Li, Q., Negi, R., & Ilic, M. (2012). Semidefinite programming for power system state estimation. In 2012 IEEE Power and Energy Society General Meeting, PES 2012 [6345536] https://doi.org/10.1109/PESGM.2012.6345536

Semidefinite programming for power system state estimation. / Weng, Yang; Li, Qiao; Negi, Rohit; Ilic, Marija.

2012 IEEE Power and Energy Society General Meeting, PES 2012. 2012. 6345536.

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

Weng, Y, Li, Q, Negi, R & Ilic, M 2012, Semidefinite programming for power system state estimation. in 2012 IEEE Power and Energy Society General Meeting, PES 2012., 6345536, 2012 IEEE Power and Energy Society General Meeting, PES 2012, San Diego, CA, United States, 7/22/12. https://doi.org/10.1109/PESGM.2012.6345536
Weng Y, Li Q, Negi R, Ilic M. Semidefinite programming for power system state estimation. In 2012 IEEE Power and Energy Society General Meeting, PES 2012. 2012. 6345536 https://doi.org/10.1109/PESGM.2012.6345536
Weng, Yang ; Li, Qiao ; Negi, Rohit ; Ilic, Marija. / Semidefinite programming for power system state estimation. 2012 IEEE Power and Energy Society General Meeting, PES 2012. 2012.
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