• DocumentCode
    132288
  • Title

    Scalability in smart grid data flow architectures

  • Author

    Cameron, Calum D. ; Taylor, Phil ; Patsios, C.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Newcastle Univ., Newcastle upon Tyne, UK
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The increasing complexity of power networks calls for new decentralised solutions for electrical power system control. Smart grid techniques and technologies are seen as a potential solution, therefore the design of effective distributed data flow architectures are of growing importance. This paper utilises Multi Agent Systems (MAS) to investigate and demonstrate the significance of appropriately designed data flow architectures in performing effective decentralised power system control. Through examining the impact of an increasing control population on control accuracy, communication demand, responsiveness and robustness in the presence of continuous anomalous data; the paper illustrates that data flow architecture is a key design consideration.
  • Keywords
    decentralised control; multi-agent systems; power distribution control; smart power grids; MAS; communication demand; decentralised power system control; distributed data flow architectures; electrical power system control; multi agent systems; power network complexity; smart grid data flow architectures; smart grid techniques; Accuracy; Robustness; Scalability; Smart grids; Sociology; Statistics; Power-systems; communications; frequency control; multi-agent systems; reactivity; robustness; scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2014 49th International Universities
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-6556-4
  • Type

    conf

  • DOI
    10.1109/UPEC.2014.6934655
  • Filename
    6934655