• DocumentCode
    2044429
  • Title

    Optimal power procurement and demand response with quality-of-usage guarantees

  • Author

    Longbo Huang ; Walrand, J. ; Ramchandran, K.

  • Author_Institution
    EECS Dept., UC Berkeley, Berkeley, CA, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we propose a general operating scheme which allows the utility company to jointly perform power procurement and demand response so as to maximize the social welfare. Our model takes into consideration the effect of the renewable energy and the multi-stage feature of the power procurement process. It also enables the utility company to provide quality-of-usage (QoU) guarantee to the power consumers, which ensures that the average power usage level meets the target value for each user. To maximize the social welfare, we develop a low-complexity algorithm called the welfare maximization algorithm (WMA), which performs joint power procurement and dynamic pricing. WMA is constructed based on a two-timescale Lyapunov optimization technique. We prove that WMA achieves a close-to-optimal utility and ensures that the QoU requirement is met with bounded deficit. WMA can be implemented in a distributed manner and is robust with respect to system dynamics uncertainty.
  • Keywords
    demand side management; optimisation; power consumption; renewable energy sources; Lyapunov optimization technique; QoU; WMA; close-to-optimal utility; dynamic pricing; low-complexity algorithm; multistage feature; optimal power demand response; optimal power procurement; power consumers; quality-of-usage guarantees; renewable energy; utility company; welfare maximization algorithm; Algorithm design and analysis; Companies; Heuristic algorithms; Load management; Procurement; Real-time systems; Renewable energy resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344772
  • Filename
    6344772