• DocumentCode
    3262177
  • Title

    Feasibility assessment of Plug and Play Model Predictive Control for use in DC grids

  • Author

    McNamara, Paul ; Milano, Federico ; McLoone, Sean

  • Author_Institution
    Electr. Res. Centre, Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    695
  • Lastpage
    700
  • Abstract
    Distributed control techniques can allow Transmission System Operators (TSOs) to coordinate their responses via TSO-TSO communication, providing a level of control that lies between that of centralised control and communication free decentralised control of interconnected power systems. Recently the Plug and Play Model Predictive Control (PnPMPC) toolbox has been developed in order to allow practitioners to design distributed controllers based on tube-MPC techniques. In this paper, some initial results using the PnPMPC toolbox for the design of distributed controllers to enhance AGC in AC areas connected to Multi-Terminal HVDC (MTDC) grids, are illustrated, in order to evaluate the feasibility of applying PnPMPC for this purpose.
  • Keywords
    HVDC power transmission; power grids; power system interconnection; power transmission control; predictive control; AC areas; AGC areas; MTDC grids; PnPMPC toolbox; TSO-TSO communication; communication free decentralised control; distributed control; feasibility assessment; interconnected power systems; multiterminal HVDC grids; plug and play model predictive control; transmission system operators; tube-MPC techniques; Automatic generation control; Decentralized control; Frequency control; HVDC transmission; Plugs; Predictive control; Automatic Generation Control; Multi-terminal HVDC; Plug and Play Model Predictive Control; Supergrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165249
  • Filename
    7165249