• DocumentCode
    3399012
  • Title

    Multi-Input Multi-Output Method for Power Quality Monitoring

  • Author

    Zhao, J.Y. ; Ding, W.H. ; Tao, Den ; Shan, Bian

  • Author_Institution
    Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaian, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For power quality mornitoring, most methods test simple input signal, but for each tested object there are many input and output signals. These signals usually exit relevances between valtage and current. This paper proposes a test model of Multi- Input Multi-Output (MIMO) model including theory and algorithm design. The theory of the derivation process is given based on mean of least squares (LS). The algorithm is designed in the form of MIMO matrix iterative. To confirm the order of polynomial it introduces a method of gradient descent. As an example of application a simulation is given. The comparation shows that it can get all inter harmonics parameters in whole frequency range in once test. It is already used as power quality monitoring in power system. The system may be served as a reference that requires dynamic monitoring system in parallel with inter-harmonic.
  • Keywords
    gradient methods; iterative methods; least squares approximations; polynomial matrices; power supply quality; power system harmonics; MIMO matrix iterative method; algorithm design; derivation process; dynamic monitoring system; gradient descent method; input signals; interharmonics parameters; least squares algorithm; multiinput multioutput method; output signals; power quality monitoring; power system; Algorithm design and analysis; Harmonic analysis; MIMO; Power quality; Power system harmonics; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307640
  • Filename
    6307640