• DocumentCode
    2551826
  • Title

    Optimal location of thyristor controlled series compensation in a power system based on differential evolution algorithm considering transmission loss reduction

  • Author

    Rashed, Ghamgeen I. ; Sun, Yuanzhang ; Shaheen, H.I.

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    610
  • Lastpage
    616
  • Abstract
    Flexible Alternating Current Transmission Systems (FACTS) devices can provide strategic benefits for transmission system management through better utilization of existing transmission facilities, increasing system capacity and reliability, enhancing system stabilities, as well as enabling ecological benefits. In addition, FACTS devices can be used to minimize transmission system power loss, and power flow control flexibility and rapidity. Though FACTS controllers offer many advantages, their installation cost is very high. Hence the optimal placement and the optimal parameter settings of these devices in the power system are of important issues. This paper presents the optimal location and the optimal parameter setting of TCSC considering the active power losses minimization in the power network based on one of the newest Evolutionary Optimization Techniques, namely Differential Evolution (DE), also compare it is performances with Genetic Algorithm (GA). For the validation and comparison purposes of the proposed techniques, simulations are carried out on several power systems, a three-bus power system, a five-bus power system, and an IEEE-14 bus power system. The results, we have obtained, shows that DE is an easy to use, robust, fast and powerful optimization technique compared with genetic algorithm (GA). The results are presented in the paper together with appropriate discussion.
  • Keywords
    flexible AC transmission systems; genetic algorithms; power system control; power system management; power system reliability; power system stability; thyristors; FACTS; IEEE-14 bus power system; TCSC; active power losses minimization; differential evolution algorithm; evolutionary optimization techniques; five-bus power system; flexible alternating current transmission systems; genetic algorithm; power flow control flexibility; power network; three-bus power system; thyristor controlled series compensation; transmission loss reduction; transmission system management; Genetic algorithms; Load flow; Power capacitors; Reactive power; Simulation; Thyristors; Differential Evolution (DE); Genetic Algorithm (GA); Power flow; Thyristor Controlled Series Capacitor (TCSC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970586
  • Filename
    5970586