• DocumentCode
    1778399
  • Title

    Multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station

  • Author

    Xinyi Lu ; Nian Liu ; Qifang Chen ; Jianhua Zhang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2014
  • fDate
    20-23 May 2014
  • Firstpage
    487
  • Lastpage
    491
  • Abstract
    Integration of PV system and EV charging station is a typical way of spot utilization of renewable resources. Research on multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station is proposed in this paper. Based on the structure of the DC micro-grid and function of each component, mathematical model of the multi-objective optimization for scheduling, which takes the cost of electricity purchasing and energy circulation of storage batteries as objective functions, is built and then solved with NSGA-II. Constraints including EVs´ charging time, the range of the charging/discharging power and SOC (state of charge) of the storage batteries, power supply rate of the distribution network and system power balance are considered in this model. A certain case is studied and verifies the model´s rationality. Compared with an instant charging plan, the optimal scheme is superior in reducing cost and energy circulation.
  • Keywords
    battery management systems; battery powered vehicles; cost reduction; distributed power generation; genetic algorithms; photovoltaic power systems; power distribution economics; power generation economics; power generation scheduling; power grids; power markets; secondary cells; DC microgrid; EV charging station; NSGA-II; PV system integration; SOC; charging-discharging power; cost reduction; distribution network; electricity purchasing; energy circulation; mathematical model; multiobjective optimal scheduling; multiobjective optimization; power supply rate; renewable resources; state of charge; storage battery; system power balance; Asia; Batteries; Charging stations; Electricity; Lead; Optimal scheduling; System-on-chip; DC micro-grid; EV charging station; PV system; optimal scheduling; storage batteries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2014.6873840
  • Filename
    6873840