Graphical model for state estimation in electric power systems

Yang Weng, Rohit Negi, Marija D. Ilić

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

20 Scopus citations

Abstract

This paper is motivated by major needs for fast and accurate on-line state estimation (SE) in the emerging electric energy systems, due to recent penetration of distributed green energy, distributed intelligence, and plug-in electric vehicles. Different from the traditional deterministic approach, this paper uses a probabilistic graphical model to account for these new uncertainties by efficient distributed state estimation. The proposed graphical model is able to discover and analyze unstructured information and it has been successfully deployed in statistical physics, computer vision, error control coding, and artificial intelligence. Specifically, this paper shows how to model the traditional power system state estimation problem in a probabilistic manner. Mature graphical model inference tools, such as belief propagation and variational belief propagation, are subsequently applied. Simulation results demonstrate better performance of SE over the traditional deterministic approach in terms of accuracy and computational time. Notably, the near-linear computational time of the proposed approach enables the scalability of state estimation which is crucial in the operation of future large-scale smart grid.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Pages103-108
Number of pages6
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 - Vancouver, BC, Canada
Duration: Oct 21 2013Oct 24 2013

Publication series

Name2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013

Other

Other2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
CountryCanada
CityVancouver, BC
Period10/21/1310/24/13

ASJC Scopus subject areas

  • Hardware and Architecture

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  • Cite this

    Weng, Y., Negi, R., & Ilić, M. D. (2013). Graphical model for state estimation in electric power systems. In 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 (pp. 103-108). [6687941] (2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013). https://doi.org/10.1109/SmartGridComm.2013.6687941