• DocumentCode
    3214115
  • Title

    Real time state estimation of multi-converter more electric ship power systems using the generalized state space averaging method

  • Author

    Jalla, Madan M. ; Emadi, Ali ; Williamson, Geoffrey A. ; Fahimi, Babak

  • Author_Institution
    Dept. of Comput. & Electr. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    2-6 Nov. 2004
  • Firstpage
    1514
  • Abstract
    This paper presents a real time state estimation algorithm for control and security maintenance of multi-converter MES power electronic systems. Estimation of the state variables of the system includes the effects of ripples and converter switching actions. The proposed state estimator is based on the weighted least squares (WLS) approach. Generalized state space averaging technique in which we consider the DC value of the state variables and their harmonics is used to model DC/DC converters for the state estimator. In this paper, after introducing the proposed approach and the concept of security and control assessments, results of applying the proposed method to a representative system are presented.
  • Keywords
    DC-DC power convertors; control engineering computing; electric vehicles; least squares approximations; maintenance engineering; power engineering computing; ships; state estimation; state-space methods; switching convertors; DC-DC converters; converter switching actions; electric ship power systems; generalized state space averaging method; multiconverter MES power electronic systems; real time state estimation; state space averaging technique; weighted least squares approach; Control systems; Electric variables control; Marine vehicles; Power electronics; Power system security; Power systems; Real time systems; State estimation; State-space methods; Switching converters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
  • Print_ISBN
    0-7803-8730-9
  • Type

    conf

  • DOI
    10.1109/IECON.2004.1431803
  • Filename
    1431803