• DocumentCode
    1995298
  • Title

    Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid

  • Author

    Ismail, B. ; Nakib, Amir ; Heliodore, Frederic ; Poullain, Serge ; Siarry, Patrick

  • Author_Institution
    Lab. LISSI, Univ. de Paris Est Creteil, Vitry-sur-Seine, France
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    466
  • Lastpage
    473
  • Abstract
    Various events such as the difficulty of constructing new transport´ saxes or natural phenomena encourage managers of the power systems to operate in their limit conditions. Consequently, in some unbalanced distribution of loads, it generates overloads of some electrical lines and a reduction of the stability margin of the electrical system. FACTS (Flexible Alternative Current Transmission System) allow to control transits of potencies in an uninterrupted manner on a network. In this paper, we address the optimal placement and sizing of FACTS problem. We demonstrated that by choosing carefully the number of FACTS, their type, their location in the network and their sizing, we perform very well the security of the power grid. Moreover we proposed a new particle swarm optimization algorithm based on Levy distribution. The obtained results show that Levy PSO provides good results.
  • Keywords
    flexible AC transmission systems; load distribution; particle swarm optimisation; power grids; power system security; FACTS; FACTS problem; Levy PSO; Levy based particle swarm optimization algorithm; Levy distribution; electrical lines; electrical power grid; electrical system; flexible alternative current transmission system; natural phenomena; optimal placement; power grid security; power systems; unbalanced load distribution; Electricity; Equations; Mathematical model; Optimization; Particle swarm optimization; Probability distribution; Standards; Levy distibution; Metaheuristics; Particle Swarm Optimization; optimization; placement and sizing FACTS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.201
  • Filename
    6650920