• DocumentCode
    1707904
  • Title

    Research into Harmonic State Estimation in Power System Based on PMU and SVD

  • Author

    Hou, Shiying ; Xu, Zhixiang ; Lv, Houyu ; Jiang, Zejia ; Wang Lingyi

  • Author_Institution
    Dept. of Electr. Eng., Chongqing Univ., Chongqing
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The traditional least squares estimation and advanced methods usually make asynchronous measurement to the harmonic signals, then to solve a giant over-determined linear equations with real variables. But these methods have some defects of the low estimated accuracy, tremendous calculation quantity and expensive measure cost. The paper develops a harmonic state estimation method based on PMU (phasor measurement unit), and solves ill-conditioned system of linear equations with complex variables in a way of complex singular value decomposition (CSVD). The formulation shows that the proposed approach results in well solution of the problem due to the traditional harmonic state estimation.
  • Keywords
    least squares approximations; phase measurement; power system harmonics; power system measurement; power system state estimation; singular value decomposition; PMU; SVD; asynchronous measurement; complex singular value decomposition; harmonic signals; harmonic state estimation method; least squares estimation; linear equations; phasor measurement unit; power systems; Current measurement; Least squares approximation; Phase measurement; Phasor measurement units; Pollution measurement; Power measurement; Power system harmonics; Power system measurements; Power system modeling; State estimation; Harmonic least squares estimation (LSE); phasor measurement unit (PMU); singular value decomposition (SVD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2006. PowerCon 2006. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    1-4244-0110-0
  • Electronic_ISBN
    1-4244-0111-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2006.321871
  • Filename
    4116223