• DocumentCode
    1792988
  • Title

    A two stage initialization based particle swarm optimization algorithm for optimal power flow solution with TCSC

  • Author

    Naresh Babu, A.V. ; Suresh, C.V. ; Sivanagaraju, S. ; Rama Mohana Rao, M.

  • Author_Institution
    DVR & Dr. HS MIC Coll. of Technol., Kanchikacherla, India
  • fYear
    2014
  • fDate
    19-20 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a novel concept to solve optimal power flow (OPF) problem in the presence of series flexible alternating current transmission systems (FACTS) controller which is thyristor controlled series capacitor (TCSC). In the proposed algorithm, a two stage initialization process have been adopted and also it gives optimal solution with less number of generations which results in the reduction of the computation time. Numerical results are carried out on IEEE 30-bus system to demonstrate the effectiveness of the proposed algorithm for different objective functions with TCSC. The OPF results of proposed algorithm is compared with existing algorithm. The results reveal better solution and computational efficiency of the proposed algorithm.
  • Keywords
    IEEE standards; flexible AC transmission systems; load flow control; particle swarm optimisation; power capacitors; power transmission control; thyristors; FACTS controller; IEEE 30-bus system; OPF problem; TCSC; computation time; computational efficiency; flexible alternating current transmission systems; initialization process; optimal power flow problem; optimal power flow solution; particle swarm optimization algorithm; thyristor controlled series capacitor; Linear programming; Load flow; Mathematical model; Minimization; Power capacitors; Power system stability; Thyristors; FACTS; TCSC and two stage initialization; optimal power flow; power injection model (PIM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Electric Grid (ISEG), 2014 International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-4104-9
  • Type

    conf

  • DOI
    10.1109/ISEG.2014.7005612
  • Filename
    7005612