• DocumentCode
    3580978
  • Title

    Modeling and optimal scheduling of residential controllable load with TOU price

  • Author

    Lei Zhou ; Yang Li

  • Author_Institution
    Sch. of Electr. Eng., Southeast Univ., Nanjing, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    On the basis of Home Energy Management System (HEMS), this paper studies a residential load scheduling problem in Time-of-Use pricing environment. First, we propose a classification of residential controllable appliance according to each characteristic and provide corresponding mathematical description. This classification could cover almost all the common appliances. Then, this paper establishes a residential load scheduling model under Time-of-Use pricing. Aiming at minimizing consumer cost as well as peak valley difference, this model considers the coordination of various kinds of appliances and distributed generation. In order to confirm the function of residential load scheduling model in controlling electric energy cost and decreasing peak valley difference, we analyze the result of load scheduling under diversified conditions in simulation.
  • Keywords
    building management systems; cost reduction; distributed power generation; domestic appliances; energy management systems; load regulation; power generation scheduling; pricing; HEMS; TOU pricing; consumer cost minimization; distributed generation; electric energy cost control; home energy management system; residential controllable appliance classification; residential controllable load optimal scheduling; time-of-use pricing environment; Batteries; Home appliances; Load modeling; Photovoltaic systems; Power demand; Pricing; Water heating; Demand response; classification of residential appliances; residential load scheduling; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7065994
  • Filename
    7065994