Kalman Filter Approach for Line Parameter Estimation for Long Transmission Lines

被引：6
|
作者：
Zhang, Yiqi [1 ]
Liao, Yuan [1 ]
机构：
[1] Univ Kentucky, Dept Elect & Comp Engn, Lexington, KY 40506 USA
来源：
2020 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI) | 2020年
关键词：
transmission line; parameter estimation; PMU; noise; Kalman filter;
D O I：
10.1109/peci48348.2020.9064634
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页数：8
相关论文
共 50 条
  • [1] Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter
    Zhang, Yiqi
    Liao, Yuan
    IEEE SOUTHEASTCON 2020, 2020,
  • [2] Phasor estimation in power transmission lines by using the Kalman filter
    Pereira, Ronaldo F. R.
    Albuquerque, Felipe P.
    Liboni, Luisa H. B.
    Costa, Eduardo C. M.
    de Oliveira, Mauricio C.
    ELECTRICAL ENGINEERING, 2022, 104 (02) : 991 - 1000
  • [3] Phasor estimation in power transmission lines by using the Kalman filter
    Ronaldo F. R. Pereira
    Felipe P. Albuquerque
    Luisa H. B. Liboni
    Eduardo C. M. Costa
    Mauricio C. de Oliveira
    Electrical Engineering, 2022, 104 : 991 - 1000
  • [4] Parameter Estimation of Biological Phenomena: An Unscented Kalman Filter Approach
    Meskin, N.
    Nounou, H.
    Nounou, M.
    Datta, A.
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2013, 10 (02) : 537 - 543
  • [5] Application of Kalman filter for state and parameter estimation
    Fan, Wenbing
    Chen, Da
    Zhengzhou Daxue Xuebao/Journal of Zhengzhou University, 2002, 34 (04):
  • [6] PARAMETER-ESTIMATION VIA KALMAN FILTER
    AIDALA, VJ
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1977, 22 (03) : 471 - 472
  • [7] USV Parameter Estimation: Adaptive Unscented Kalman Filter-Based Approach
    Shen, Han
    Wen, Guanghui
    Lv, Yuezu
    Zhou, Jun
    Wang, Linan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (06) : 7751 - 7761
  • [8] Impedance Parameters Estimation of Transmission Lines by an Extended Kalman Filter-Based Algorithm
    Pereira, Ronaldo Francisco Ribeiro
    De Albuquerque, Felipe Proenca
    Liboni, Luisa Helena Bartocci
    Costa, Eduardo Coelho Marques
    De Oliveira, Mauricio Carvalho
    IEEE Transactions on Instrumentation and Measurement, 2022, 71
  • [9] Impedance Parameters Estimation of Transmission Lines by an Extended Kalman Filter-Based Algorithm
    Ribeiro Pereira, Ronaldo Francisco
    de Albuquerque, Felipe Proenca
    Bartocci Liboni, Luisa Helena
    Marques Costa, Eduardo Coelho
    de Oliveira, Mauricio Carvalho
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [10] Using the Kalman filter for parameter estimation in biogeochemical models
    Trudinger, C. M.
    Raupach, M. R.
    Rayner, P. J.
    Enting, I. G.
    ENVIRONMETRICS, 2008, 19 (08) : 849 - 870
12345