• DocumentCode
    183264
  • Title

    Distributed Demand-side management with load uncertainty

  • Author

    Manasseh, Emmanuel ; Ohno, S. ; Mvuma, Aloys ; Yamamoto, Takayuki

  • Author_Institution
    Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    In this paper, we consider load control in a multiple residence setup where energy consumption scheduling (ECS) devices in smart meters are employed for Demand-side management (DSM). Several residential end-users share the same energy source and each residential user has non adjustable loads, adjustable loads and a storage device. The ECS devices interact automatically by running an iterative distributed algorithm to find the optimal energy consumption schedule for each end-user, in order to reduce the total energy cost as well as the peak-to-average-ratio (PAR) in load demand in the system. Simulation results are provided to evaluate the performance of the proposed game theoretic based distributed DSM technique.
  • Keywords
    demand side management; load regulation; power consumption; smart meters; ECS devices; PAR; adjustable loads; distributed DSM technique; distributed demand-side management; energy consumption scheduling devices; energy source; iterative distributed algorithm; load control; load demand; load uncertainty; multiple residence setup; nonadjustable loads; optimal energy consumption schedule; peak-to-average-ratio; smart meters; storage device; Companies; Electricity; Energy consumption; Games; Home appliances; Optimization; Schedules; Demand Side Management; Energy Consumption Scheduling; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ITU Kaleidoscope Academic Conference: Living in a converged world - Impossible without standards?, Proceedings of the 2014
  • Conference_Location
    St. Petersburg
  • Type

    conf

  • DOI
    10.1109/Kaleidoscope.2014.6858476
  • Filename
    6858476