• DocumentCode
    238367
  • Title

    Performance indicator dependency on measurement sets in a DC multi-converter power system

  • Author

    Jimenez, J.C. ; Nwankpa, C.O.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For power systems the problem of system observability lies in the solution of the state-estimation problem, which is the main component in modern power system management. Measurements of system parameters that allow monitoring of the power system are essential for energy management system applications and control center strategies. This paper will provide the ability to monitor the observability condition of a DC multi-converter based power system around system equilibrium points. The condition number of an observability Jacobian matrix is the performance measure and it quantifies how observable the system is based on available measurement sets. As the system becomes unobservable, the less reliable state estimation becomes, thereby affecting overall performance through capability degradation of controllers.
  • Keywords
    Jacobian matrices; power convertors; power system measurement; power system state estimation; DC multiconverter power system; control center strategies; energy management system; measurement sets; observability Jacobian matrix; performance indicator dependency; power system management; power system monitoring; state estimation; state-estimation problem; system observability; Jacobian matrices; Load modeling; Loading; Mathematical model; Observability; Power measurement; Power system dynamics; load perturbations; measurement sets; multi-converter; nonlinear phenomena; observability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Resilient Control Systems (ISRCS), 2014 7th International Symposium on
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ISRCS.2014.6900109
  • Filename
    6900109