• DocumentCode
    727063
  • Title

    Observability of network-delayed multi-converter power systems

  • Author

    Nwankpa, Chika O. ; Jimenez, Juan C. ; Jayasuriya, Sachi

  • Author_Institution
    Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    930
  • Lastpage
    933
  • Abstract
    Power electronic converter systems have become a key feature of smart grid technologies due to the efforts to achieve increased levels of autonomy in power system operation. However, when devising control strategies for multi-converter power systems, nonlinearities-associated issues with these types of systems arise (e.g. bifurcations) and must be taken into account as even a slight variation of a system parameter could change the structure of the system. With the increasing need for remote control, investigation of converter system dynamics alone is insufficient. Remote control is achieved via a communication system that is used for information passing between sensors and controllers, which hence plays an important role on the overall performance of the power system. Therefore, a need arises for the study of the power system (plant) and the communication system (network) as a single entity as the performance of one is highly dependent on the other. The focus of this work is the development of a metric that will serve as an indicator of overall system status to the power system operator.
  • Keywords
    control nonlinearities; observability; power convertors; power system control; smart power grids; telecontrol; communication system; control nonlinearities; network delayed multiconverter power system; observability; power converter system dynamics; power system operator; remote control; smart grid technology; system parameter variation; Delay effects; Delays; Jacobian matrices; Observability; Power system stability; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7168787
  • Filename
    7168787