Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines

Yiqi Zhang; Yuan Liao

doi:10.1109/PECI48348.2020.9064634

Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines

Yiqi Zhang, Yuan Liao

Electrical and Computer Engineering

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

7 Scopus citations

Abstract

Transmission line parameters including series resistance, series reactance, and shunt susceptance are essential inputs to a variety of power system applications. The purpose of the study is to develop new methods to estimate line parameters for long transmission lines with different configurations under the effect of measurement noises by utilizing the Kalman filter techniques. Simulations are performed to demonstrate the effectiveness of the proposed methods. Results evince promising applications of the proposed new method.

Original language	English
Title of host publication	2020 IEEE Power and Energy Conference at Illinois, PECI 2020
ISBN (Electronic)	9781728152998
DOIs	https://doi.org/10.1109/PECI48348.2020.9064634
State	Published - Feb 2020
Event	2020 IEEE Power and Energy Conference at Illinois, PECI 2020 - Champaign, United States Duration: Feb 27 2020 → Feb 28 2020

Publication series

Name	2020 IEEE Power and Energy Conference at Illinois, PECI 2020

Conference

Conference	2020 IEEE Power and Energy Conference at Illinois, PECI 2020
Country/Territory	United States
City	Champaign
Period	2/27/20 → 2/28/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Kalman filter
PMU
noise
parameter estimation
transmission line

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Hardware and Architecture
Information Systems and Management
Energy Engineering and Power Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PECI48348.2020.9064634

Cite this

@inproceedings{8a251be39e91470d98d3c90a2051c666,

title = "Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines",

abstract = "Transmission line parameters including series resistance, series reactance, and shunt susceptance are essential inputs to a variety of power system applications. The purpose of the study is to develop new methods to estimate line parameters for long transmission lines with different configurations under the effect of measurement noises by utilizing the Kalman filter techniques. Simulations are performed to demonstrate the effectiveness of the proposed methods. Results evince promising applications of the proposed new method.",

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

author = "Yiqi Zhang and Yuan Liao",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Power and Energy Conference at Illinois, PECI 2020 ; Conference date: 27-02-2020 Through 28-02-2020",

year = "2020",

month = feb,

doi = "10.1109/PECI48348.2020.9064634",

language = "English",

series = "2020 IEEE Power and Energy Conference at Illinois, PECI 2020",

booktitle = "2020 IEEE Power and Energy Conference at Illinois, PECI 2020",

}

Zhang, Y & Liao, Y 2020, Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines. in 2020 IEEE Power and Energy Conference at Illinois, PECI 2020., 9064634, 2020 IEEE Power and Energy Conference at Illinois, PECI 2020, 2020 IEEE Power and Energy Conference at Illinois, PECI 2020, Champaign, United States, 2/27/20. https://doi.org/10.1109/PECI48348.2020.9064634

TY - GEN

T1 - Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines

AU - Zhang, Yiqi

AU - Liao, Yuan

PY - 2020/2

Y1 - 2020/2

N2 - Transmission line parameters including series resistance, series reactance, and shunt susceptance are essential inputs to a variety of power system applications. The purpose of the study is to develop new methods to estimate line parameters for long transmission lines with different configurations under the effect of measurement noises by utilizing the Kalman filter techniques. Simulations are performed to demonstrate the effectiveness of the proposed methods. Results evince promising applications of the proposed new method.

AB - Transmission line parameters including series resistance, series reactance, and shunt susceptance are essential inputs to a variety of power system applications. The purpose of the study is to develop new methods to estimate line parameters for long transmission lines with different configurations under the effect of measurement noises by utilizing the Kalman filter techniques. Simulations are performed to demonstrate the effectiveness of the proposed methods. Results evince promising applications of the proposed new method.

KW - Kalman filter

KW - PMU

KW - noise

KW - parameter estimation

KW - transmission line

UR - http://www.scopus.com/inward/record.url?scp=85084038068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85084038068&partnerID=8YFLogxK

U2 - 10.1109/PECI48348.2020.9064634

DO - 10.1109/PECI48348.2020.9064634

M3 - Conference contribution

AN - SCOPUS:85084038068

T3 - 2020 IEEE Power and Energy Conference at Illinois, PECI 2020

BT - 2020 IEEE Power and Energy Conference at Illinois, PECI 2020

T2 - 2020 IEEE Power and Energy Conference at Illinois, PECI 2020

Y2 - 27 February 2020 through 28 February 2020

ER -

Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this