• DocumentCode
    648467
  • Title

    Optimal operation of energy-efficiency building: A robust optimization approach

  • Author

    Ping Liu ; Yong Fu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The intermittent nature of renewable energy sources and inaccurate load forecast bring up great uncertainties in the operation of power systems, which consequently increases the risk of inadequate energy supply especially during the peak load hours. This paper proposes a robust optimization model taking into account the randomness of electric and thermal loads, as well as solar power production. The robust energy supply is determined from various energy sources including electric grid, battery, and combined heat and power (CHP) with boiler unit. The operation of energy-efficiency building becomes more robust against these uncertainties. The simulation results demonstrate the effectiveness of the CHP unit and battery in alleviating the influence of uncertainties in the operation of the energy-efficiency building.
  • Keywords
    boilers; buildings (structures); cogeneration; integer programming; linear programming; load management; power grids; secondary cells; solar power; CHP; battery; boiler unit; combined heat and power; electric grid; electric loads; energy-efficiency building; load forecast; power systems; renewable energy sources; robust energy supply; robust optimization model; solar power production; thermal loads; Batteries; Boilers; Buildings; Cogeneration; Robustness; Thermal loading; Uncertainty; Combined heat and power; energy efficiency building; robust optimization; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6673050
  • Filename
    6673050