• DocumentCode
    2543617
  • Title

    Pattern search optimization applied to convex and non-convex economic dispatch

  • Author

    AlHajri, M.F. ; El-Hawary, M.E.

  • Author_Institution
    Dalhousie Univ., Halifax
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    2674
  • Lastpage
    2678
  • Abstract
    Economic dispatch is a classic power system problem. It is formulated with either a non-linear quadratic objective function only or by adding another sinusoidal term to the quadratic function in order to incorporate the valve-point effect. Both formulations are subjected to equality and non-equality constraints. In solving such optimization problem, deterministic and heuristic methods were utilized. Direct search-pattern search is a novel heuristic technique used in solving the economic dispatch problems in this paper. This derivative-free method shows optimistic results in dealing with simple and large power systems. The proposed approach has been been tested on three, six and twenty generation units to validate usage of this heuristic technique in the economic dispatch area. Results are compared with deterministic and other heuristic methods.
  • Keywords
    convex programming; deterministic algorithms; power generation economics; quadratic programming; search problems; derivative-free method; deterministic method; direct search-pattern search; generation units; heuristic method; nonconvex economic dispatch; nonequality constraints; nonlinear quadratic objective function; pattern search optimization; power system problem; sinusoidal term; Cost function; Neural networks; Optimization methods; Power generation; Power generation economics; Power system economics; Power systems; Propagation losses; Testing; Vectors; Direct search; Economic dispatch; heuristics; pattern search.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413842
  • Filename
    4413842