• DocumentCode
    2708715
  • Title

    Optimal power flow incorporating FACTS devices using Gravitational Search Algorithm

  • Author

    Sonmez, Yusuf ; Duman, Serhat ; Guvenc, Ugur ; Yorukeren, Nuran

  • Author_Institution
    Dept. of Electr. Technol., Gazi Univ., Ankara, Turkey
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper aims to solve the optimal power problem (OPF) incorporating flexible AC transmission systems (FACTS) devices using Gravitational Search Algorithm (GSA) that minimizes the fuel cost function in the problem. In the optimization problem, Thyristor controlled series compensation (TCSC) and thyristor controlled phase shifter (TCPS) FACTS devices are considered to find their optimum location in transmission lines. In order to evaluate the effectiveness of proposed algorithm, it has been tested on modified IEEE 30 bus system and compared with particle swarm optimization (PSO) and hybrid tabu search and simulated annealing (TS/SA) approach which are used in solving the same problem and reported before in the literature. Results show that GSA produces better results than others and has fast computing time for solving OPF problem with FACTS.
  • Keywords
    flexible AC transmission systems; load flow; phase shifters; power transmission lines; search problems; static VAr compensators; thyristor applications; GSA; OPF problem; PSO; SA approach; TCPS FACTS devices; TCSC FACTS devices; TS approach; flexible AC transmission systems devices; fuel cost function; gravitational search algorithm; hybrid tabu search approach; modified IEEE 30 bus system; optimal power flow; optimization problem; particle swarm optimization; simulated annealing approach; thyristor controlled phase shifter FACTS devices; thyristor controlled series compensation; transmission lines; Flexible AC transmission systems; Fuels; Load flow; Optimization; Power capacitors; Search problems; Thyristors; flexible AC transmission systems; gravitational search algorithm; optimal power flow; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
  • Conference_Location
    Trabzon
  • Print_ISBN
    978-1-4673-1446-6
  • Type

    conf

  • DOI
    10.1109/INISTA.2012.6246993
  • Filename
    6246993