• DocumentCode
    1777626
  • Title

    Optimal coordinated operation for microgrid with hybrid energy storage and diesel generator

  • Author

    Cheng Siqi ; Liu Junyong ; Yang Jiaqi ; Ni Yaqi ; Xiang Yue ; Zhu Xin ; Tian Hao

  • Author_Institution
    Dept. of Electr. Eng. & Inf., Univ. of Sichuan, Chengdu, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    3207
  • Lastpage
    3212
  • Abstract
    Compared with the conventional cooperation model of single energy storage and diesel generator, a new coordinated operation model of hybrid energy storage and diesel generator is proposed in this paper, considered about the running characteristics of hybrid energy storage and diesel generator. According to the daily load curve and wind-solar output curve, the strategy of coordinated operation is determined based on the index analysis in sliding time window which is separated by enumeration method. In view of the wind-solar-diesel-hybrid storage DC microgrid, this paper set economic efficiency as the optimization target with time-dependent electricity price, using enumeration to divide multiple time scales and choose coordinated operation model, then employed adaptive genetic algorithm(AGA) to optimize the power resources.
  • Keywords
    diesel-electric generators; distributed power generation; genetic algorithms; hybrid power systems; adaptive genetic algorithm; cooperation model; coordinated operation model; coordinated operation strategy; diesel generator; hybrid energy storage; index analysis; microgrid; optimal coordinated operation; power resources; sliding time window; time-dependent electricity price; wind-solar output curve; wind-solar-diesel-hybrid storage DC microgrid; Batteries; Diesel engines; Generators; Hybrid power systems; Microgrids; Optimization; Coordinated Operation; Diesel Generator; Hybrid Energy Storage; Microgrid; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993733
  • Filename
    6993733