• DocumentCode
    1758999
  • Title

    Hybrid optimisation method for optimal power flow using flexible AC transmission system devices

  • Author

    Chao-Ming Huang ; Yann-Chang Huang

  • Author_Institution
    Dept. of Electr. Eng., Kun Shan Univ., Tainan, Taiwan
  • Volume
    8
  • Issue
    12
  • fYear
    2014
  • fDate
    12 2014
  • Firstpage
    2036
  • Lastpage
    2045
  • Abstract
    This study proposes a hybrid optimisation method for optimal power flow using a flexible AC transmission system (FACTS). The FACTS plays an important role in the dynamic stability and steady-state control of power systems. This study achieves steady-state control by determining the types and the optimal locations of the FACTS devices and their associated values in the transmission lines. To determine the optimal solutions to the FACTS allocation problem, a hybrid optimisation method that combines a harmony search algorithm and an ant system is proposed. The objective functions of power flow considered are the active power transmission loss, the performance index of the active power flow in the transmission lines and the performance index of the voltage difference between buses. The proposed method was verified on the IEEE 30-bus and Taiwan Power Company 345 kV simplified systems. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods do.
  • Keywords
    ant colony optimisation; flexible AC transmission systems; load flow control; optimal control; power system stability; power transmission control; power transmission lines; search problems; FACTS allocation problem; IEEE 30-bus system; Taiwan Power Company; active power transmission loss; ant system; dynamic stability; flexible AC transmission system device; harmony search algorithm; hybrid optimisation method; optimal power flow; steady-state power system control; transmission line; voltage 345 kV; voltage bus difference;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.0096
  • Filename
    6985859