• DocumentCode
    2628193
  • Title

    Optimization of distribution network incorporating microgrid using vaccine-AIS

  • Author

    Tan, Sicong ; Xu, Jianxin ; Panda, Sanjib Kumar

  • Author_Institution
    NUS Grad. Sch. for Integrative Sci. & Eng. (NGS), Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    1381
  • Lastpage
    1386
  • Abstract
    Previous studies focused only on the optimization of either microgrid load dispatch or reconfiguration power loss. Micorgrid economic load dispatch approach normally assumed that it could draw unlimited power from the utility grid. Network reconfiguration usually did not take microgrid into consideration. Thus, it is necessary to integrate these two sub-problems together in order to benefit the whole network. In this paper, an integrated solution that takes care of both microgrid load dispatch and network reconfiguration is proposed. The stochastic nature of wind, PV and load is taken into consideration. The forecasting of the wind, PV and load data are considered. The bio-inspired optimization scheme Vaccine-AIS is adopted to solve the problem. The results obtained have shown that the optimization technique is capable for this problem. By using the integration approach, microgrid can be incorporated into the network more effectively. The network can adjust itself more efficiently to allow the utilization of the renewable energy resources.
  • Keywords
    distributed power generation; distribution networks; load forecasting; optimisation; power generation dispatch; PV forecasting; bio-inspired optimization scheme; distribution network; load data; micorgrid economic load dispatch; microgrid load dispatch; network reconfiguration; reconfiguration power loss; renewable energy resources; utility grid; vaccine-AIS; wind forecasting; Forecasting; Generators; History; Loading; Logic gates; Meteorology; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388539
  • Filename
    6388539