• DocumentCode
    609435
  • Title

    A comparative analysis on reactive power optimization using various techniques in deregulated power system

  • Author

    Rekha, R. ; Kannan, G.

  • Author_Institution
    EEE Dept., Sri Muthukumaran Inst. of Technol., Chennai, India
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    1341
  • Lastpage
    1346
  • Abstract
    The power transmission capability available from a transmission line design is limited by technological and economical constraints. Therefore, in order to maximize the amount of real power, reactive power flows must be minimized. Consequently, sufficient reactive power should be provided locally in the system to keep the bus voltages within nominal ranges in order to satisfy customer´s equipments voltage ratings. In this paper, a mathematical model of reactive power optimization and its algorithm are set up and studied, and algorithms like GA and PSO are proposed for reactive power optimization in deregulated electricity market. Gauss-seidel method for the power is used in conjunction with PSO to obtain the optimal value of reactive power. To enhance the voltage profile of the overall power system, FACTS devices are used. The effectiveness of the proposed method is demonstrated on an IEEE 30-bus benchmark system in MATLAB. Results are also compared with those value obtained using GA.
  • Keywords
    flexible AC transmission systems; genetic algorithms; load flow; particle swarm optimisation; power markets; power transmission economics; power transmission lines; reactive power; FACTS devices; GA algorithms; Gauss-seidel method; Matlab; PSO; customer equipment voltage ratings; deregulated electricity market; deregulated power system; economical constraints; mathematical model; power transmission capability; reactive power flows; reactive power optimization; transmission line design; voltage profile; Generators; Genetic algorithms; Optimization; Power system stability; Reactive power; Sociology; Statistics; Ancillary services; Deregulation; Genetic Algorithm; Particle Swarm Optimization; Reactive power cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-6149-1
  • Type

    conf

  • DOI
    10.1109/ICEETS.2013.6533582
  • Filename
    6533582