• DocumentCode
    1055735
  • Title

    Parallel Optimal Reactive Power Flow Based on Cooperative Co-Evolutionary Differential Evolution and Power System Decomposition

  • Author

    Liang, C.H. ; Chung, C.Y. ; Wong, K.P. ; Duan, X.Z.

  • Author_Institution
    Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    22
  • Issue
    1
  • fYear
    2007
  • Firstpage
    249
  • Lastpage
    257
  • Abstract
    Differential evolution (DE) is a promising evolutionary algorithm for solving optimal reactive power flow problems, but it requires relatively large population to avoid premature convergence. In order to overcome this disadvantage, a novel decomposition and coordination method based on the cooperative co-evolutionary architecture and the voltage-var sensitivity-based power system decomposition technique is proposed and incorporated with DE in this paper. It is implemented with a three-level parallel computing topology on a PC-cluster. Based on the IEEE 118-bus system test case, the effectiveness of the proposed method has been verified by comparison with the parallel basic DE not using the decomposition and coordination technique
  • Keywords
    evolutionary computation; load flow; power systems; reactive power control; IEEE 118-bus system test case; cooperative coevolution; differential evolution; parallel computing; parallel optimal reactive power flow; power system decomposition; voltage-VAr sensitivity; Computer architecture; Convergence; Evolutionary computation; Optimization methods; Parallel processing; Power system modeling; Power systems; Reactive power; Topology; Voltage; Cooperative co-evolution; differential evolution (DE); optimal reactive power flow (ORPF); parallel computing; power system decomposition;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.887889
  • Filename
    4077121