• DocumentCode
    75074
  • Title

    Dynamic modelling and control of distribution energy systems: comparison with transmission power systems

  • Author

    Nazari, Masoud Honarvar ; Ilic, Marija

  • Author_Institution
    Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    8
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    26
  • Lastpage
    34
  • Abstract
    This paper explores the fundamental differences between distribution and transmission systems, regarding dynamic behaviour under a high penetration of distributed generators (DGs). The paper shows that because of large resistance to reactance ratio in distribution networks the frequency and voltage dynamics are strongly interdependent. Therefore only coupled models should be used for control design of DGs. Large resistance to reactance ratio and low inertia and fast dynamic response of DGs also result in strong interactions between DGs. These interactions can cause stability problems if DGs are connected electrically in close areas and/or the control of DGs is poorly tuned. Block Gerschgorin theorem is used to determine bounds on interactions between each DG with the rest of the system so that no interactions occur. Next, a more systematic fully decentralised, and, therefore simple control design is proposed. The logic of the decentralised control is to cancel out strong interactions between DGs and to improve the dynamic response of DGs. The theoretical findings are illustrated on two practical distribution systems.
  • Keywords
    control system synthesis; decentralised control; distributed power generation; matrix algebra; power control; power distribution control; power grids; power transmission; DG; block Gerschgorin theorem; control design; decentralised control; distributed generators; distribution energy system control; distribution networks; grid parameters; large resistance-to-reactance ratio; real-world distribution systems; system-level stability; transmission power systems; voltage dynamic modelling;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2013.0160
  • Filename
    6722862