State estimation in distribution system considering effects of AMI data

Ziyu Jia, Jiaxiong Chen, Yuan Liao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data.

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2013
Subtitle of host publicationMoving America into the Future
DOIs
StatePublished - 2013
EventIEEE SoutheastCon 2013: Moving America into the Future - Jacksonville, FL, United States
Duration: Apr 4 2013Apr 7 2013

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502

Conference

ConferenceIEEE SoutheastCon 2013: Moving America into the Future
Country/TerritoryUnited States
CityJacksonville, FL
Period4/4/134/7/13

Keywords

  • AMI
  • WLS state estimation
  • distribution system
  • estimation accuracy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

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