• DocumentCode
    1857472
  • Title

    Trends and challenges in optimization techniques for operation and control of Microgrid - A review

  • Author

    Narkhede, Mahesh S. ; Chatterji, Sourindra ; Ghosh, Sudip

  • Author_Institution
    Electr. Eng., NITTTR, Chandigarh, India
  • fYear
    2012
  • fDate
    28-29 Dec. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    An attempt has been made in this paper to reveal the trends and challenges in optimization techniques for operating and controlling the Microgrid, a controllable part of the smart grid. The Operation and control of Microgrid clearly fits into the broad area of multi-objective optimization problem. A critical analysis of the through literature review indicates that the alternative intelligent methods as compared to the slower conventional methods are showing better promise in the area of optimization. The latest trend shows the shift towards computational alternatives from the traditional iterative techniques (gradient based methods) due to the need of deriving near-optimum results in short periods of time. The computational alternatives include evolutionary, heuristic, and nonclassical algorithms.
  • Keywords
    distributed power generation; evolutionary computation; gradient methods; heuristic programming; power distribution control; smart power grids; evolutionary algorithm; gradient method; heuristic algorithm; intelligent method; iterative technique; literature review; microgrid operation control; multiobjective optimization problem; nonclassical algorithm; smart grid control; Alternative Energy distributed generation (AEDG); Distributed Energy Resources (DER); Distributed Intelligent Energy Management System (DIEMS); Microgrid; Microgrid energy trading model (METM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy in NERIST (ICPEN), 2012 1st International Conference on
  • Conference_Location
    Nirjuli
  • Print_ISBN
    978-1-4673-1667-5
  • Type

    conf

  • DOI
    10.1109/ICPEN.2012.6492337
  • Filename
    6492337