• DocumentCode
    3609477
  • Title

    Appliance Scheduling Optimization in Smart Home Networks

  • Author

    Qayyum, F.A. ; Naeem, M. ; Khwaja, A.S. ; Anpalagan, A. ; Guan, L. ; Venkatesh, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
  • Volume
    3
  • fYear
    2015
  • fDate
    7/7/1905 12:00:00 AM
  • Firstpage
    2176
  • Lastpage
    2190
  • Abstract
    In this paper, we propose a solution to the problem of scheduling of a smart home appliance operation in a given time range. In addition to power-consuming appliances, we adopt a photovoltaic (PV) panel as a power-producing appliance that acts as a micro-grid. An appliance operation is modeled in terms of uninterruptible sequence phases, given in a load demand profile with a goal of minimizing electricity cost fulfilling duration, energy requirement, and user preference constraints. An optimization algorithm, which can provide a schedule for smart home appliance usage, is proposed based on the mixed-integer programming technique. Simulation results demonstrate the utility of our proposed solution for appliance scheduling. We further show that adding a PV system in the home results in the reduction of electricity bills and the export of energy to the national grid in times when solar energy production is more than the demand of the home.
  • Keywords
    domestic appliances; home computing; integer programming; power consumption; user interfaces; PV panel; appliance scheduling optimization; electricity cost fulfilling duration; energy requirement; load demand profile; microgrid; mixed-integer programming; photovoltaic panel; smart home appliance operation; smart home networks; solar energy production; user preference constraints; Home automation; Household applicances; Scheduling; Smart grids; Smart phones; Appliance scheduling; branch and- bound; branch-and-bound; optimization; smart grid; smart home network;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2015.2496117
  • Filename
    7312407