• DocumentCode
    175697
  • Title

    Multi-objective optimal power flow solution based on differential harmony search algorithm

  • Author

    Ping Ren ; Nan Li

  • Author_Institution
    Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The differential harmony search (DHS) optimization algorithm is introduced for the first time in solving the optimal power flow(OPF) solution. A case on optimal power flow problem in the IEEE 30 bus system is presented to show the methodology´s feasibility and efficiency, compared with the existing optimal power flow problem in power system methods, the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
  • Keywords
    load flow control; nonlinear control systems; optimal control; search problems; DHS optimization algorithm; IEEE-30 bus system; OPF solution; differential harmony search algorithm; heuristic algorithms; multiobjective mathematical optimization problem; multiobjective optimal power flow solution; nonlinear optimal control problem; optimal power flow problem; Algorithm design and analysis; Generators; Linear programming; Load flow; Optimization; Vectors; Differential harmony search algorithm; Multi-objective; Optimal power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2014 10th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5150-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2014.6975856
  • Filename
    6975856