Kalman- Filter Based Recursive Regression for Three-Phase Line Parameter Estimation using Synchrophasor Measurements

被引:0
|
作者
Mishra, Chetan [1 ]
Centeno, Virgilio A. [1 ]
Pal, Anamitra [2 ]
机构
[1] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Virginia Polytech Inst & State Univ, Virginia Bioinformat Inst, Network Dynam & Simulat Sci Lab, Blacksburg, VA 24061 USA
关键词
Kalman filter; Phasor measurement units (PMUs); Recursive regression; Synchrophasors; Transmission line parameter estimation;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper estimation of three-phase transmission line parameters is done with the help of synchrophasor measurements by using a recursive regression technique based on the Kalman filter. The errors in the regression vector due to presence of noise in the synchrophasor data are also accounted for while estimating the parameters. The performance of this technique is demonstrated for a medium length transmission line. The results indicate that the proposed approach is able to successfully compute three phase transmission line parameters of non-transposed, non-symmetric lines.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Finite Control Set Model Predictive Control for a Three-Phase Shunt Active Power Filter with a Kalman Filter-Based Estimation
    Guzman, Ramon
    Garcia de Vicuna, Luis
    Castilla, Miguel
    Miret, Jaume
    Camacho, Antonio
    ENERGIES, 2017, 10 (10):
  • [22] Using Branch Current Measurements for Parameter Identification in Extended Kalman Filter based Distribution System State Estimation
    Cetenovic, Dragan
    Rankovic, Aleksandar
    Zhao, Junbo
    Terzija, Vladimir
    Huang, Can
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
  • [23] Line parameter, topology and phase estimation in three-phase distribution networks with non-μPMUs
    Shi, Zhengkun
    Xu, Qingshan
    Liu, Yuheng
    Wu, Chenyu
    Yang, Yongbiao
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [24] Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm
    Jangjit, Seesak
    Laohachai, Panthep
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2009, 4 (03) : 360 - 364
  • [25] Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters
    Stuart, Zahraa Krayem
    El-Laham, Yousef
    Bugallo, Monica F.
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 1235 - 1239
  • [26] Parameter estimation of a three-axis spacecraft simulator using recursive least-squares approach with tracking differentiator and Extended Kalman Filter
    Xu, Zheyao
    Qi, Naiming
    Chen, Yukun
    ACTA ASTRONAUTICA, 2015, 117 : 254 - 262
  • [27] Three-phase Linear State Estimation Based on SCADA and PMU Measurements
    Khalili, Ramtin
    Abur, Ali
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021), 2021, : 711 - 715
  • [28] A SOLUTION TO THE THREE-BODY LAMBERT PROBLEM BASED ON CUBATURE KALMAN FILTER PARAMETER ESTIMATION
    Zhao, Qichen
    Zhang, Hongli
    Zhang, Ran
    Han, Chao
    SPACEFLIGHT MECHANICS 2017, PTS I - IV, 2017, 160 : 3939 - 3950
  • [29] Fault Diagnosis in Three-Phase Power Inverters Using Multiple-Model Kalman Filter
    Azizi, S. Mohsen
    2019 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), 2019, : 907 - 910
  • [30] Accurate Kalman filter based estimation of transmission line parameters utilizing synchronized phasor measurements
    Moghanian, Mehrdad
    Dobakhshari, Ahmad Salehi
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 230