• DocumentCode
    2219188
  • Title

    Total transfer capability calculations for competitive power networks using genetic algorithms

  • Author

    Shaaban, Mohamed ; Ni, Yixin ; Wu, Felix

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    114
  • Lastpage
    118
  • Abstract
    The application of the genetic algorithms to solve the total transfer capability (TTC) problem is proposed in this paper. TTC is a nonlinear function of the system operating conditions and security constraints. The objective of the proposed genetic algorithm is to maximize a specific point-to-point power transaction without system constraint violation and to determine the TTC between the two points through global optimal search. The suggested genetic algorithm is simple to implement and can easily incorporate various constraints. The floating-point based genetic algorithm was tested on a 4 bus test system with good convergence. The test results are compared favorably with that obtained from the continuation power flow
  • Keywords
    electricity supply industry; genetic algorithms; load flow; power system security; power transmission; 4 bus test system; competitive power networks; continuation power flow; convergence; floating-point based genetic algorithm; genetic algorithms; global optimal search; nonlinear function; point-to-point power transaction; security constraints; system operating conditions; total transfer capability; Consumer electronics; Genetic algorithms; Genetic engineering; Load flow; Power system planning; Power system reliability; Power system security; Search methods; System testing; Transmission line measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-5902-X
  • Type

    conf

  • DOI
    10.1109/DRPT.2000.855648
  • Filename
    855648