Quickest Line Outage Detection with Low False Alarm Rate and No Prior Outage Knowledge

Yizheng Liao, Chenhan Xiao, Yang Weng

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

Abstract

With a large-scale distributed energy resources (DER) penetration in distribution grids, traditional outage de-tection methods will have poor performance. This is because past methods rely on customer reports and smart meters' 'last gasp' signals, but such signatures may disappear as renewable generators, storage, and the mesh structure in urban distribution grids can continue supplying power after line outages. To capture outage signatures accurately with performance guarantees, we propose a data-driven outage monitoring approach based on the optimal change point detection method with a theoretical guarantee. However, existing change point detection methods require post-outage voltage distribution, which is unknown in distribution systems. Therefore, we design a maximum likelihood estimator for learning the distribution parameters from voltage data directly. In addition, we introduce a parameter estimation confidence interval that significantly reduces the false alarm rate that is caused by approximation errors. Theoretical proof is provided for performance guarantee. Extensive simulation results show highly accurate outage identification in various distribution grids using real smart meter data from our utility partners.

Original languageEnglish (US)
Title of host publication2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665408233
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: Jul 17 2022Jul 21 2022

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2022-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States
CityDenver
Period7/17/227/21/22

ASJC Scopus subject areas

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

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