• DocumentCode
    3245449
  • Title

    Determination method of optimal planning and operation for residential PV system and storage battery based on weather forecast

  • Author

    Suzuki, Ryo ; Hayashi, Yasuhiro ; Fujimoto, Yasutaka

  • Author_Institution
    Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    This paper proposes a computation method to determine a optimal planning and operation of residential Photovoltaic Power Generation systems (PV systems) and Battery Energy Storage Systems (BESS) based on the weather forecast to each customer. In this proposed method, the optimal planning and operation are decided by changing the amount of charge in the BESS in midnight when the electric rate is cheap. This proposed method can determine the optimal planning (determination of optimal rating capacities of PV and BESS) and the optimal operation (determination of three values of the amount of charge at midnight on sunny day, cloudy day and rainy day) so as to minimize the annual cost of the household. In order to check the effectiveness of the proposed method, the optimal planning and the operation are compared on the data of two years.
  • Keywords
    battery storage plants; photovoltaic power systems; power generation planning; BESS; battery energy storage systems; cloudy day; household annual cost minimization; optimal planning determination method; optimal rating capacity determination; rainy day; residential PV generation systems; residential photovoltaic power generation systems; sunny day; weather forecast; Batteries; Photovoltaic systems; Planning; Power systems; Weather forecasting; Battery energy storage system; Home energy management system; Photovoltaic power generation system; Weather forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2012 IEEE International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-5017-4
  • Type

    conf

  • DOI
    10.1109/PECon.2012.6450235
  • Filename
    6450235