Blind topology identification for power systems

Xiao Li, H. Vincent Poor, Anna Scaglione

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

45 Scopus citations

Abstract

In this paper, the blind topology identification problem for power systems only using power injection data at each bus is considered. As metering becomes widespread in the smart grid, a natural question arising is how much information about the underlying infrastructure can be inferred from such data. The identifiability of the grid topology is studied, and an efficient learning algorithm to estimate the grid Laplacian matrix (i.e., the graph equivalent of the grid admittance matrix) is proposed. Finally, the performance of our algorithm for the IEEE-14 bus system is demonstrated, and the consistency of the recovered graph with the true graph associated with the underlying power grid is shown in simulations.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Pages91-96
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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