• DocumentCode
    2449972
  • Title

    A hybrid algorithm for optimal power flow using the chaos optimization and the linear interior point algorithm

  • Author

    Shengsong, Liu ; Zhijian, Hou ; Min, Wang

  • Author_Institution
    Dept. of Electr. Power Eng., Shanghai Jiao Tong Univ., China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    793
  • Abstract
    In this paper, a novel hybrid optimization algorithm, which combines a chaos optimization algorithm (COA) and a linear interior point method, is proposed for solving the optimal power flow (OPF) problem. The hybrid algorithm is structured with two stages. The first stage uses the chaos optimization algorithm, while the linear primal-dual interior point method with the predictor-corrector is employed in the second stage. The hybrid algorithm involves two level of optimization, namely global search by the COA and local search by the linear interior point method, which cooperates in a global process of optimization. It can provide more robust convergence on the OPF problem than either, algorithm alone. IEEE 14, 30 and 57 bus test systems are run. Numerical results illustrate the feasibility and potential of the proposed hybrid algorithm.
  • Keywords
    chaos; control system analysis computing; control system synthesis; load flow control; optimal control; power system analysis computing; power system control; chaos optimization algorithm; computer simulation; hybrid optimization algorithm; linear interior point method; linear primal-dual interior point method; optimal power flow; predictor-corrector method; Chaos; Control systems; Linear programming; Load flow; Optimization methods; Power system control; Power systems; Quadratic programming; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1047508
  • Filename
    1047508