• DocumentCode
    3610422
  • Title

    Solution of optimal reactive power dispatch by chaotic krill herd algorithm

  • Author

    Mukherjee, Aparajita ; Mukherjee, Vivekananda

  • Author_Institution
    Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India
  • Volume
    9
  • Issue
    15
  • fYear
    2015
  • Firstpage
    2351
  • Lastpage
    2362
  • Abstract
    This study presents an efficient and reliable evolutionary-based approach, termed as chaotic krill herd algorithm (CKHA), to solve the optimal reactive power dispatch (ORPD) problem of power system. In the proposed CKHA, various chaotic maps are considered to improve the performance of the basic KHA. The performance of the proposed CKHA is examined and tested, successfully, on standard IEEE-30 and IEEE-57 bus test power systems for the solution of ORPD problem in which control of bus voltages, tap position of transformers and reactive power sources are involved. The objective function considered is either minimisation of active power transmission loss or that of total voltage deviation or enhancement of voltage stability index. The results offered by the proposed CKHA are compared with those offered by other evolutionary optimisation techniques surfaced in the recent state-of-the-art literature. Simulation results indicate that the proposed CKHA yields superior solution over the other recently surfaced popular techniques in terms of effectiveness and convergence speed.
  • Keywords
    evolutionary computation; losses; minimisation; power generation control; power generation dispatch; power transmission control; reactive power control; voltage control; CKHA; IEEE-30 bus test power system; IEEE-57 bus test power system; ORPD problem; active power transmission loss minimisation; bus voltage control; chaotic krill herd algorithm; chaotic maps; evolutionary-based approach; optimal reactive power dispatch; reactive power control; tap position control; voltage deviation; voltage stability index;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2015.0077
  • Filename
    7328470