Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter

Yiai Zhang; Yuan Liao

doi:10.1109/SoutheastCon44009.2020.9249656

Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter

Yiai Zhang, Yuan Liao

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

2 Scopus citations

Abstract

In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.

Original language	English
Title of host publication	IEEE SoutheastCon 2020, SoutheastCon 2020
ISBN (Electronic)	9781728168616
DOIs	https://doi.org/10.1109/SoutheastCon44009.2020.9249656
State	Published - Mar 28 2020
Event	2020 IEEE SoutheastCon, SoutheastCon 2020 - Virtual, Raleigh, United States Duration: Mar 28 2020 → Mar 29 2020

Publication series

Name	Conference Proceedings - IEEE SOUTHEASTCON
Volume	2020-March
ISSN (Print)	1091-0050
ISSN (Electronic)	1558-058X

Conference

Conference	2020 IEEE SoutheastCon, SoutheastCon 2020
Country/Territory	United States
City	Virtual, Raleigh
Period	3/28/20 → 3/29/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Kalman filter
Measurement noise
PMU
line parameter estimation
transmission line

ASJC Scopus subject areas

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

Access to Document

10.1109/SoutheastCon44009.2020.9249656

Cite this

@inproceedings{96c5e2497119491ea33f7c485f7afb23,

title = "Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter",

abstract = "In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.",

keywords = "Kalman filter, Measurement noise, PMU, line parameter estimation, transmission line",

author = "Yiai Zhang and Yuan Liao",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE SoutheastCon, SoutheastCon 2020 ; Conference date: 28-03-2020 Through 29-03-2020",

year = "2020",

month = mar,

day = "28",

doi = "10.1109/SoutheastCon44009.2020.9249656",

language = "English",

series = "Conference Proceedings - IEEE SOUTHEASTCON",

booktitle = "IEEE SoutheastCon 2020, SoutheastCon 2020",

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TY - GEN

T1 - Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter

AU - Zhang, Yiai

AU - Liao, Yuan

PY - 2020/3/28

Y1 - 2020/3/28

N2 - In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.

AB - In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.

KW - Kalman filter

KW - Measurement noise

KW - PMU

KW - line parameter estimation

KW - transmission line

UR - http://www.scopus.com/inward/record.url?scp=85097829503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85097829503&partnerID=8YFLogxK

U2 - 10.1109/SoutheastCon44009.2020.9249656

DO - 10.1109/SoutheastCon44009.2020.9249656

M3 - Conference contribution

AN - SCOPUS:85097829503

T3 - Conference Proceedings - IEEE SOUTHEASTCON

BT - IEEE SoutheastCon 2020, SoutheastCon 2020

T2 - 2020 IEEE SoutheastCon, SoutheastCon 2020

Y2 - 28 March 2020 through 29 March 2020

ER -

Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this