• DocumentCode
    2717264
  • Title

    Optimal locating and sizing of TCSC using genetic algorithm for congestion management in deregualted power markets

  • Author

    Hosseinipoor, Nazanin ; Nabavi, Syed M H

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    Series FACTS devices such as TCSC, with its ability to directly control the power flow can be very effective to improve the operation of transmission network. In this paper corrective solution for congestion management by using TCSC has been reviewed. A novel genetic algorithm for finding the optimal location and size of this device was proposed for congestion management with the aim of increasing social welfare while cost of TCSC was incorporated. The simulation results were successfully tested on IEEE 14-bus system. Analyzing the results with and without FACTS devices confirms that these devices are appropriate for long time congestion management.
  • Keywords
    Costs; Energy management; Genetic algorithms; Load flow; Power capacitors; Power markets; Power system management; Power system modeling; Technology management; Thyristors; TCSC; congestion management; deregulated power market; genetic algorirhm; optimal power flow; social welfare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
  • Conference_Location
    Prague, Czech Republic
  • Print_ISBN
    978-1-4244-5370-2
  • Electronic_ISBN
    978-1-4244-5371-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2010.5489968
  • Filename
    5489968