Distribution grid topology reconstruction: An information theoretic approach

Yizheng Liao, Yang Weng, Meng Wu, Ram Rajagopal

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

16 Scopus citations

Abstract

Recently, a rapidly penetration of distributed generation raises various issues. One of the key issues is frequent distribution grid re-configuration, which is hard to detect based on traditional approaches. Wrong topology information causes wrong control signal, making fast changing smart grid prone to go over stability boundaries and to collapse. To ensure system robustness, we propose a new data-driven re-configuration approach, thanks to recently progressively deployed larger sensor networks in distribution systems by utilities. Specifically, an Information Theory based algorithm, Chow-Liu algorithm, is used based on a proof for assumption and verification in distribution systems. Simulation results show highly accurate re-configuration estimation in IEEE standard distribution test systems.

Original languageEnglish (US)
Title of host publication2015 North American Power Symposium, NAPS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373890
DOIs
StatePublished - Nov 20 2015
Externally publishedYes
EventNorth American Power Symposium, NAPS 2015 - Charlotte, United States
Duration: Oct 4 2015Oct 6 2015

Publication series

Name2015 North American Power Symposium, NAPS 2015

Other

OtherNorth American Power Symposium, NAPS 2015
CountryUnited States
CityCharlotte
Period10/4/1510/6/15

Keywords

  • Information Theory
  • Power Distribution Network
  • Topology/Structure Learning
  • Voltage Measurement

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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  • Cite this

    Liao, Y., Weng, Y., Wu, M., & Rajagopal, R. (2015). Distribution grid topology reconstruction: An information theoretic approach. In 2015 North American Power Symposium, NAPS 2015 [7335248] (2015 North American Power Symposium, NAPS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS.2015.7335248