• DocumentCode
    184441
  • Title

    Operation of residential hybrid renewable energy systems: Integrating forecasting, optimization and demand response

  • Author

    Xiaonan Wang ; Palazoglu, Ahmet ; El-Farra, Nael H.

  • Author_Institution
    Dept. of Chem. Eng. & Mater. Sci., Univ. of California, Davis, Davis, CA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    5043
  • Lastpage
    5048
  • Abstract
    This paper presents a methodology to systematically formulate a hybrid renewable energy system (HRES), which consists of solar, wind and diesel generator as a backup resource as well as battery storage, from the preliminary design stage to the optimal operation. Detailed modeling of each system component, including photovoltaic(PV) panels, wind turbines and lead-acid batteries, are introduced as the basis for simulation. System sizing considering energy flows is conducted to get the optimal combination of PV and wind generation units. Power management strategies from both the demand-side and generation-side are developed to realize the objectives of meeting the electricity demand while minimizing the overall operating and environmental costs. Real-time weather forecasting and model updating are also integrated into the proposed methodology using a receding horizon optimization strategy.
  • Keywords
    demand side management; diesel-electric power stations; optimisation; renewable energy sources; solar power stations; wind power plants; demand response; demand side management; energy flows; generation side management; lead acid batteries; photovoltaic panels; power management; residential hybrid renewable energy systems; wind turbines; Batteries; Electricity; Generators; Meteorology; Optimization; Real-time systems; Renewable energy sources; Demand response; Forecasting; Hybrid renewable energy systems; Operational optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859105
  • Filename
    6859105