• DocumentCode
    3024103
  • Title

    Centralized and decentralized control for demand response

  • Author

    Lu, Shuai ; Samaan, Nader ; Diao, Ruisheng ; Elizondo, Marcelo ; Jin, Chunlian ; Mayhorn, Ebony ; Zhang, Yu ; Kirkham, Harold

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2011
  • fDate
    17-19 Jan. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Demand response has been recognized as an essential element of the smart grid. Frequency response, regulation and contingency reserve functions performed traditionally by generators are now starting to involve demand side resources. Additional benefits from demand response include peak reduction and load shifting, which will defer new infrastructure investment and improve generator operation efficiency. Technical approaches designed to realize these functionalities can be categorized into centralized control and decentralized control, depending on where the response decision is made. This paper discusses these two control philosophies and compares their response performances in terms of delay time and predictability. A distribution system model with detailed household loads and controls is built to demonstrate the characteristics of the two approaches. The conclusion is that the promptness and reliability of decentralized control should be combined with the controllability and predictability of centralized control to achieve the best performance of the smart grid.
  • Keywords
    centralised control; decentralised control; delays; electric generators; frequency control; frequency response; power distribution control; power distribution reliability; smart power grids; centralized control; contingency reserve function; decentralized control; demand response; demand side resource; distribution system model; frequency response; generator; generator operation efficiency; household load; load shifting; peak reduction; regulation reserve function; smart grid; time delay; Distributed control; Frequency control; Generators; Load management; Load modeling; Voltage control; Water heating; centralized control; decentralized control; demand response; dynamic stability; frequency response; load modeling; smart grid; voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
  • Conference_Location
    Hilton Anaheim, CA
  • Print_ISBN
    978-1-61284-218-9
  • Electronic_ISBN
    978-1-61284-219-6
  • Type

    conf

  • DOI
    10.1109/ISGT.2011.5759191
  • Filename
    5759191