• DocumentCode
    3126353
  • Title

    Optimal set points regulation of distributed generation units in micro-grids under islanded operation

  • Author

    Graditi, G. ; Ippolito, M.G. ; Sanseverino, E. Riva ; Zizzo, G.

  • fYear
    2010
  • fDate
    4-7 July 2010
  • Firstpage
    2253
  • Lastpage
    2260
  • Abstract
    The present work studies the problem of optimizing the power production levels of dispersed generation units in islanded microgrids. The problem is intrinsically multi-objective with non linear objectives and constraints, thus the solution approach is based on evolutionary optimization and uses the Non dominated Sorting Genetic Algorithm II. The objectives are calculated based on the solution of the load flow problem. The latter problem is more complicated when in the considered system a physical node with a sufficiently large production capability is not available, because all the generation node of the systems have similar and limited generation capability. In this paper, the issue has been solved including into the optimization string also the slack bus identifier. This idea, together with the use of a suitable multiobjective technique, allows to reach interesting results and to optimally dispatch the power from the different generating units.
  • Keywords
    distributed power generation; genetic algorithms; load flow; dispersed generation units; distributed generation units; evolutionary optimization; generation node; islanded operation; load flow problem; microgrids; nondominated sorting genetic algorithm; optimal set points regulation; optimization string; physical node; power production levels; slack bus identifier; Density estimation robust algorithm; Fuels; Load flow; Minimization; Optimization; Power generation; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2010 IEEE International Symposium on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-6390-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2010.5637837
  • Filename
    5637837