• DocumentCode
    1609151
  • Title

    Economic dispatch in a microgrid through an iterated-based algorithm

  • Author

    Modiri-Delshad, Mostafa ; Koohi-Kamali, Sam ; Taslimi, Ehsan ; Aghay Kaboli, S. Hr. ; Rahim, N.A.

  • Author_Institution
    UM Power Energy Dedicated Adv. Centre (UMPEDAC), Wisma R&D, Kuala Lumpur, Malaysia
  • fYear
    2013
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    This paper presents a new algorithm to solve economic dispatch (ED) as an optimization problem in power systems. A simple iterated-based algorithm has been developed. It starts with a guess and converges to the optimal point in such a way that the total generation cost of a microgrid is minimized. Since microgrid is considered as a lossless small network, the algorithm is supposed to solve the lossless economic dispatch problem. The proposed method applied on a microgrid consisting of three distributed energy resources (DERs) with convex type of cost functions. The problem was also solved by CPLEX solver as a quadratic programming problem (QP) and the obtained results of proposed algorithm were compared with its results. The comparison confirmed the capability of proposed method to solve ED problem since it was easy to implement with acceptable speed and accuracy.
  • Keywords
    costing; distributed power generation; iterative methods; power distribution economics; power generation dispatch; power generation economics; quadratic programming; CPLEX solver; DER; ED; QP; distributed energy resource; generation cost; lossless economic dispatch problem; lossless small network; microgrid; optimization problem; power system; quadratic programming problem; simple iterated-based algorithm; Cost function; Economics; Linear programming; Microgrids; Vectors; Cost function; Distributed energy resources; Economic dispatch; Lossless; Microgrid; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Energy and Technology (CEAT), 2013 IEEE Conference on
  • Conference_Location
    Lankgkawi
  • Print_ISBN
    978-1-4799-3237-5
  • Type

    conf

  • DOI
    10.1109/CEAT.2013.6775604
  • Filename
    6775604