• DocumentCode
    165162
  • Title

    Transmission power loss reduction using intelligent techniques-regulated IPFC

  • Author

    Al Khabbaz, Mustafa M.

  • Author_Institution
    Facilities Planning Dept., Saudi Arabian Oil Co., Dhahran, Saudi Arabia
  • fYear
    2014
  • fDate
    13-14 Oct. 2014
  • Firstpage
    423
  • Lastpage
    428
  • Abstract
    This paper compares the ability of various intelligent search algorithms in tuning interline power flow controllers (IPFCs) to diminish the transmission loss in power system networks. The IPFC belongs to a family of a series of compensating flexible alternating current transmission system (FACTS) devices and has the ability to manage power flow among multiline transmission systems. It has voltage source converters (VSCs), which can be adjusted to regulate the power flow in a corresponding line. In this paper, a study of the capability of IPFCs to reduce transmission loss is established. First, a general introduction to the FACTS devices is developed, and the problem at hand is defined. Next, the selection of parameters of the IPFC controller is considered as an optimization problem and the parameters are tuned by applying three intelligent search techniques: 1) differential evolution (DE), 2) artificial bee colony (ABC) and 3) particle swarm optimization (PSO). Finally, the effectiveness of the device in diminishing line loss is demonstrated using MATLAB® software application.
  • Keywords
    flexible AC transmission systems; load flow control; particle swarm optimisation; power convertors; power transmission control; search problems; ABC; DE; FACTS devices; IPFC controller; PSO; VSC; artificial bee colony; differential evolution; flexible alternating current transmission system; intelligent search algorithms; intelligent search techniques; intelligent techniques; interline power flow controllers; multiline transmission systems; particle swarm optimization; power system networks; transmission power loss reduction; voltage source converters; Linear programming; Load flow; Mathematical model; Optimization; Particle swarm optimization; Propagation losses; artificial bee colony (ABC); differential evolution (DE); interline power flow controller (IPFC); particle swarm optimization (PSO); transmission line loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion (CENCON), 2014 IEEE Conference on
  • Conference_Location
    Johor Bahru
  • Type

    conf

  • DOI
    10.1109/CENCON.2014.6967541
  • Filename
    6967541