• DocumentCode
    2793496
  • Title

    Quantitative analysis on economic impacts of installation at different sites on microgrids with multi-energy

  • Author

    Mao, Meiqin ; Zhao, Yongchao ; Sun, Shujuan ; Chang, Liuchen ; Cao, Yu ; Su, Jianhui ; Sun, Ming ; Zhang, Guorong

  • Author_Institution
    Res. Center of Photovoltaic Syst. Eng. of Minist. of Educ., Hefei Univ. of Technol., Hefei, China
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    668
  • Lastpage
    673
  • Abstract
    Economic performances of a microgrid with multi-energy are effected by many factors such as the configuration of microgrid systems for the specific installation sites and cluster of loads, operation modes and dispatching schedules of the microgrid, the electricity market, energy policy and alike. And the configuration of the microgrid is the premise of all factors. This paper presents an optimization model to quantitatively evaluate the economic impacts of different installation sites on microgrids with multi-energy. In this model, optimal configuration schemes for microgrids installed at typical sites are designed by particle swarm optimization method. The economic performances of optimal configuration schemes are evaluated by the operation simulation with the proposed indexes. Those typical installation sites mentioned above belong to different regions which are divided into the five-level classifications in terms of the richness of wind and solar resource and the distributions of loads in China. The calculation results may be used for the decision-making references by the decision-makers.
  • Keywords
    decision making; distributed power generation; particle swarm optimisation; power generation dispatch; power generation economics; power generation scheduling; power markets; decision-making references; dispatching scheduling; economic impacts; electricity market; energy policy; microgrid economic performances; microgrid systems; multienergy; optimal configuration schemes; optimization model; particle swarm optimization method; quantitative analysis; solar resource; wind resource; Economics; Electricity; Investments; Load modeling; Optimization; Renewable energy resources; Wind; PSO algorithm; configuration; economic; microgrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2012 3rd IEEE International Symposium on
  • Conference_Location
    Aalborg
  • Print_ISBN
    978-1-4673-2021-4
  • Electronic_ISBN
    978-1-4673-2022-1
  • Type

    conf

  • DOI
    10.1109/PEDG.2012.6254074
  • Filename
    6254074