• DocumentCode
    3086841
  • Title

    Optimal control to minimize operating costs and emissions of MV autonomous micro-grids with renewable energy sources

  • Author

    Conti, S. ; Rizzo, S.A.

  • Author_Institution
    D.I.E.E.S., Univ. of Catania, Catania, Italy
  • fYear
    2009
  • fDate
    9-11 June 2009
  • Firstpage
    634
  • Lastpage
    639
  • Abstract
    The paper is intended to propose an optimal control strategy for autonomous micro-grids that focuses on the possibility to minimize the overall micro-grid operating cost, borne by the micro-grid operator in order to provide power distribution to customers, while minimizing the pollutants emissions and assuming that all the power made available by the renewable energy sources is injected into the micro-grid. The proposed procedure can be implemented thanks to a hierarchical control architecture. The optimization procedure has been verified by computer simulations on a test network. The numerical results show that it is possible to find optimal feasible solutions that improve the operating conditions of the micro-grid with respect to the ones obtained as a result of the generators local control.
  • Keywords
    distributed power generation; optimal control; pollution control; power generation control; power generation economics; power grids; renewable energy sources; autonomous microgrid operating cost minimization; computer simulation; dispersed generation units; generator control; optimal control strategy; pollutant emission control; renewable energy sources; Centralized control; Control systems; Cost function; Distributed power generation; Optimal control; Pollution; Power distribution; Power generation; Renewable energy resources; Voltage control; Dispersed Generation; Micro-Grid; Optimal Control; Power Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power, 2009 International Conference on
  • Conference_Location
    Capri
  • Print_ISBN
    978-1-4244-2543-3
  • Electronic_ISBN
    978-1-4244-2544-0
  • Type

    conf

  • DOI
    10.1109/ICCEP.2009.5211986
  • Filename
    5211986