• DocumentCode
    28211
  • Title

    An Optimal Dispatch Algorithm for Managing Residential Distributed Energy Resources

  • Author

    Karami, Hamidreza ; Sanjari, M.J. ; Hosseinian, Seyed Hossein ; Gharehpetian, G.B.

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    5
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2360
  • Lastpage
    2367
  • Abstract
    This paper deals with a residential hybrid thermal/ electrical grid-connected home energy system, including a fuel-cell with combined heat and power (CHP) and a battery as energy storage system (ESS). A day-ahead scheduling algorithm for managing different resources is developed to generate an efficient look-up table that determines an optimal operation schedule for the distributed energy resources at each time interval, so that the operation cost of a smart house is minimized. The impact of the electricity tariff and the efficiency of the energy storage system are considered when optimizing the operation schedules.
  • Keywords
    building management systems; cogeneration; cost reduction; distributed power generation; fuel cells; home automation; power generation dispatch; power generation economics; power generation scheduling; power grids; power markets; power system interconnection; renewable energy sources; secondary cells; thermal energy storage; CHP; ESS; battery; combined heat and power; day-ahead scheduling algorithm; electricity tariff; energy storage system; fuel cell; look-up table; operation cost minimization; optimal dispatch algorithm; optimal operation scheduling; residential distributed energy resources management; residential hybrid thermal-electrical grid connected home energy system; smart house; Batteries; Cogeneration; Energy storage; Fuel cells; Optimization; Battery efficiency; combined heat and power (CHP) system; electricity tariff; scheduling optimization; smart home;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2325912
  • Filename
    6878479