• DocumentCode
    1759335
  • Title

    Robust-Index Method for Household Load Scheduling Considering Uncertainties of Customer Behavior

  • Author

    Chengshan Wang ; Yue Zhou ; Jianzhong Wu ; Jidong Wang ; Yiqiang Zhang ; Dan Wang

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    42186
  • Firstpage
    1806
  • Lastpage
    1818
  • Abstract
    Robust-index method is proposed to tackle the challenges of uncertainties caused by customer behavior in order to minimize comfort violation in household load scheduling. Robust indexes for different kinds of loads are developed and integrated into the load scheduling optimization problems in the form of additional constraints, and thus the obtained load schedules are able to reach the expected robust level. The robust-index method is simple in modeling, independent of historical data, and with low additional computational burden. Simulation results verified the validity of the proposed method and demonstrated their application in load scheduling.
  • Keywords
    computational complexity; domestic appliances; energy management systems; optimisation; comfort violation minimization; computational burden; customer behavior; household load scheduling optimization problem; robust-index method; Indexes; Load modeling; Optimization; Robustness; Schedules; Uncertainty; Water heating; Demand response; home energy management; household load scheduling; robust-index method; smart home;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2403411
  • Filename
    7056496