• DocumentCode
    234223
  • Title

    Research on operation optimization strategy of grid-connected PV-battery system

  • Author

    Wei Cao ; Yang Du ; Xiaoqing Qi ; Lijun Ji

  • Author_Institution
    Sch. of Electr. Power, Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2014
  • fDate
    19-22 Oct. 2014
  • Firstpage
    272
  • Lastpage
    279
  • Abstract
    The optimization strategy is proposed for the grid-connected PV-battery system in order to gain the maximum benefit. The proposed operation optimization is performed in two steps. In the first step, active power optimization is applied, which is aimed at the minimum operation cost (or the maximum system benefits). In the second step, reactive power optimization is applied based on the result of active power optimization, aimed at the minimum network loss. The charge-discharge cycle constraints and power limit constraints are considered in the battery model. IEEE-30 network is used for case study. Two kinds of electricity price schemes are used to examine the effect of the proposed operation optimization strategy.
  • Keywords
    battery storage plants; genetic algorithms; hybrid power systems; photovoltaic power systems; power generation economics; IEEE-30 network; active power optimization; battery model; charge-discharge cycle constraints; electricity price schemes; grid-connected PV-battery system; operation optimization strategy; power limit constraints; reactive power optimization; Batteries; Electricity; Load flow; Load modeling; Optimization; Reactive power; PV-battery; economic operation; genetic algorithm; grid-connected; optimization strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Research and Application (ICRERA), 2014 International Conference on
  • Conference_Location
    Milwaukee, WI
  • Type

    conf

  • DOI
    10.1109/ICRERA.2014.7016569
  • Filename
    7016569