State estimation in distribution system considering effects of AMI data

Ziyu Jia; Jiaxiong Chen; Yuan Liao

doi:10.1109/SECON.2013.6567406

State estimation in distribution system considering effects of AMI data

Ziyu Jia, Jiaxiong Chen, Yuan Liao

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 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 language	English
Title of host publication	IEEE SoutheastCon 2013
Subtitle of host publication	Moving America into the Future
DOIs	https://doi.org/10.1109/SECON.2013.6567406
State	Published - 2013
Event	IEEE SoutheastCon 2013: Moving America into the Future - Jacksonville, FL, United States Duration: Apr 4 2013 → Apr 7 2013

Publication series

Name	Conference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)	0734-7502

Conference

Conference	IEEE SoutheastCon 2013: Moving America into the Future
Country/Territory	United States
City	Jacksonville, FL
Period	4/4/13 → 4/7/13

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

Access to Document

10.1109/SECON.2013.6567406

Cite this

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title = "State estimation in distribution system considering effects of AMI data",

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.",

keywords = "AMI, WLS state estimation, distribution system, estimation accuracy",

author = "Ziyu Jia and Jiaxiong Chen and Yuan Liao",

year = "2013",

doi = "10.1109/SECON.2013.6567406",

language = "English",

isbn = "9781479900527",

series = "Conference Proceedings - IEEE SOUTHEASTCON",

booktitle = "IEEE SoutheastCon 2013",

note = "IEEE SoutheastCon 2013: Moving America into the Future ; Conference date: 04-04-2013 Through 07-04-2013",

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TY - GEN

T1 - State estimation in distribution system considering effects of AMI data

AU - Jia, Ziyu

AU - Chen, Jiaxiong

AU - Liao, Yuan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - AMI

KW - WLS state estimation

KW - distribution system

KW - estimation accuracy

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U2 - 10.1109/SECON.2013.6567406

DO - 10.1109/SECON.2013.6567406

M3 - Conference contribution

AN - SCOPUS:84883246978

SN - 9781479900527

T3 - Conference Proceedings - IEEE SOUTHEASTCON

BT - IEEE SoutheastCon 2013

T2 - IEEE SoutheastCon 2013: Moving America into the Future

Y2 - 4 April 2013 through 7 April 2013

ER -

State estimation in distribution system considering effects of AMI data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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