• DocumentCode
    41906
  • Title

    Operation Optimization of Standalone Microgrids Considering Lifetime Characteristics of Battery Energy Storage System

  • Author

    Bo Zhao ; Xuesong Zhang ; Jian Chen ; Caisheng Wang ; Li Guo

  • Author_Institution
    Res. Inst., Zhejiang Electr. Power Corp., Hangzhou, China
  • Volume
    4
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    934
  • Lastpage
    943
  • Abstract
    Standalone microgrids with renewable sources and battery storage play an important role in solving power supply problems in remote areas such as islands. To achieve reliable and economic operations of a standalone microgrid, in addition to the consideration of utilization of renewable resources, the lifetime characteristics of a battery energy storage system also need to be fully investigated. In this paper, in order to realize the economic operation of a recently developed standalone microgrid on Dongfushan Island in China, an optimization model including battery life loss cost, operation and maintenance cost, fuel cost, and environmental cost is established to obtain a set of optimal parameters of operation strategy. Considering the lifetime characteristics of lead-acid batteries, a multiobjective optimization to minimize power generation cost and to maximize the useful life of lead-acid batteries has been achieved via the nondominated sorting genetic algorithm (NSGA-II). The results show that the proposed method can optimize the system operations under different scenarios and help users obtain the optimal operation schemes of the actual microgrid system.
  • Keywords
    battery storage plants; costing; distributed power generation; genetic algorithms; lead acid batteries; maintenance engineering; power generation economics; China; NSGA-II; battery energy storage system; battery life loss cost; economic operation; lead-acid batteries; lifetime characteristics; maintenance cost; microgrid system; multiobjective optimization; nondominated sorting genetic algorithm; operation cost; operation optimization; operation strategy; optimization model; power generation cost; power supply problems; renewable sources; standalone microgrids; Energy storage; Genetic algorithms; Microgrids; Lead–acid batteries; life characteristics; multiobjective; nondominated sorting genetic algorithm (NSGA-II); operation optimization; standalone microgrid;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2013.2248400
  • Filename
    6510510