• DocumentCode
    1756169
  • Title

    Optimal Charging/Discharging Scheduling of Battery Storage Systems for Distribution Systems Interconnected With Sizeable PV Generation Systems

  • Author

    Jen-Hao Teng ; Shang-Wen Luan ; Dong-Jing Lee ; Yong-Qing Huang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    41395
  • Firstpage
    1425
  • Lastpage
    1433
  • Abstract
    Utilizing battery storage systems (BSSs) can reduce the intermittent output of PV generation systems (PVGSs) and make them dispatchable. The aim of this paper is to design an optimal charging/discharging scheduling for BSSs such that the line loss of distribution systems interconnected with sizeable PVGSs can be minimized. A mathematical model for BSSs which can be used to simulate the charging procedures such as the commonly-used constant current to constant voltage (CC-CV) charging method, the discharging procedures and the state of charge (SOC) is proposed first. The minimum line loss problem considering the intermittent output of PVGSs and the scheduling of BSSs is then formulated based on the BSS mathematical model. The optimal charging/discharging scheduling of BSSs can then be obtained by a genetic algorithm (GA) based method. Test results demonstrate the validity of the proposed mathematical model and optimal charging/discharging scheduling for BSSs.
  • Keywords
    battery storage plants; genetic algorithms; photovoltaic power systems; power generation dispatch; power generation scheduling; power system interconnection; BSS; PV generation systems; PVG; SOC; battery storage systems; constant current; constant voltage charging method; distribution systems interconnection; genetic algorithm; intermittent output; mathematical model; optimal charging-discharging scheduling; state of charge; Batteries; Mathematical model; Power generation; Sociology; Statistics; System-on-a-chip; Temperature; Battery storage system; charging/discharging scheduling; genetic algorithm; photovoltaic generation system; state of charge;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2230276
  • Filename
    6378415