Estimation of Phasor under Dynamic Conditions using Convolution

被引:0
|
作者
Affijulla, Shaik [1 ]
Tripathy, Praveen [2 ]
机构
[1] Natl Inst Technol Meghalaya, Dept Elect & Elect Engn, Shillong 793003, Meghalaya, India
[2] Indian Inst Technol Guwahati, Dept Elect & Elect Engn, Gauhati 781039, Assam, India
关键词
Convolution; dynamic phasor; PMU; smart grids; special protection;
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
The paper introduces a simple, fast and computationally efficient phasor estimation algorithm under dynamic conditions using convolution analysis. The performance of convolution based phasor estimator is effectively tested under different dynamic/noisy conditions as per IEEE C37.118.1-2011 standards. The results revealed that the proposed algorithm estimates the dynamic phasor accurately irrespective of distortion present in the sinusoidal signals. The proposed algorithm enhances the phasor estimation process to be more general and independent of phasor models of a signal. Furthermore, the proposed estimator inherently filters noise and harmonics, immune to decaying dc components, detects sharp changes in a signal during faults and effectively works under complex modulated conditions. The simplicity, robustness and generality of the proposed algorithm best suits for wide area measurement systems to measure the voltage and current phasors during disturbance in the power system networks.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Efficient Phasor Estimation under Steady State and Dynamic Conditions
    Khodaparast, Jalal
    Fosso, Olav Bjarte
    Molinas, Marta
    [J]. 2018 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2018,
  • [2] Dynamic Phasor Estimation Through DSTKF Under Transient Conditions
    Huang, Chun
    Xie, Xing
    Jiang, Hui
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 66 (11) : 2929 - 2936
  • [3] Phasor estimation under transient conditions
    Paternina, M. R. A.
    Zamora, A.
    Vazquez M, Emesto
    Ramirez, Juan M.
    [J]. 2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [4] Adaptive Phasor Estimation Algorithm Using Improved KFs under Steady-State/Dynamic Conditions
    Wang, Yinfeng
    Lu, Chao
    Fang, Chen
    Ling, Ping
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [5] Research on synchronized phasor measurement algorithm under dynamic conditions
    College of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
    不详
    [J]. Zhongguo Dianji Gongcheng Xuebao, 2009, 10 (52-58):
  • [6] Characterization of microgrid smart metering: phasor estimation under impaired conditions
    Bertocco, Matteo
    Narduzzi, Claudio
    Tramarin, Federico
    [J]. 2013 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2013, : 1170 - 1175
  • [7] Dynamic phasor estimation using adaptive artificial neural network
    Rao, A. V. Koteswara
    Soni, K. M.
    Sinha, Sanjay Kumar
    Nasiruddin, Ibraheem
    [J]. INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2021, 12 (02) : 310 - 317
  • [8] Dynamic phasor estimation using adaptive artificial neural network
    A. V. Koteswara Rao
    K. M. Soni
    Sanjay Kumar Sinha
    Ibraheem Nasiruddin
    [J]. International Journal of System Assurance Engineering and Management, 2021, 12 : 310 - 317
  • [9] Shanks' method for dynamic phasor estimation
    Munoz, Alejandro Torres
    de la O Serna, Jose Antonio
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2008, 57 (04) : 813 - 819
  • [10] Measurement accuracy verification of phasor measurement unit with dynamic phasor estimation
    Arendarski, Bartlomiej
    Rabe, Steffen
    Heineken, Wolfram
    Komarnicki, Przemyslaw
    [J]. ARCHIVES OF ELECTRICAL ENGINEERING, 2018, 67 (03) : 529 - 543