An approach to achieving global optimum of AC electric power system state estimators

Yang Weng, Marija D. Ilic

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

1 Citation (Scopus)

Abstract

This paper is motivated by the open questions concerning the ability to compute the global optimum of nonlinear state estimators (SE). The major cause of these problems comes from the highly nonlinear functions relating measurements and voltages defined by the AC power flow models. Conventional approaches in today's AC electric power system SE are prone to sub-optimal solutions, which, in turn, creates unacceptably large differences between the true and estimated voltages. In this paper, we first formulate the problem as an equivalent convex optimization problem. We then account for the specific structure of the problem, and arrive at an efficient algorithm for finding the global optimum, namely the most accurate estimate of the state. Notably, under the no noise assumption this approach for the first time solved the problem exactly. Further, we show that our estimate is close to the global optimum even when measurement noise is present, while currently used SE only finds a local optimum. Simulations are shown to illustrate improved results obtained using the SE formulation proposed in this paper over the results obtained using today's SE.

Original languageEnglish (US)
Title of host publication2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
PublisherIEEE Computer Society
ISBN (Print)9781479936526
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 - Washington, DC, United States
Duration: Feb 19 2014Feb 22 2014

Other

Other2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014
CountryUnited States
CityWashington, DC
Period2/19/142/22/14

Fingerprint

Electric power systems
Convex optimization
Electric potential

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Weng, Y., & Ilic, M. D. (2014). An approach to achieving global optimum of AC electric power system state estimators. In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014 [6816456] IEEE Computer Society. https://doi.org/10.1109/ISGT.2014.6816456

An approach to achieving global optimum of AC electric power system state estimators. / Weng, Yang; Ilic, Marija D.

2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society, 2014. 6816456.

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

Weng, Y & Ilic, MD 2014, An approach to achieving global optimum of AC electric power system state estimators. in 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014., 6816456, IEEE Computer Society, 2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014, Washington, DC, United States, 2/19/14. https://doi.org/10.1109/ISGT.2014.6816456
Weng Y, Ilic MD. An approach to achieving global optimum of AC electric power system state estimators. In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society. 2014. 6816456 https://doi.org/10.1109/ISGT.2014.6816456
Weng, Yang ; Ilic, Marija D. / An approach to achieving global optimum of AC electric power system state estimators. 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society, 2014.
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