• DocumentCode
    2536021
  • Title

    Optimal reactive power allocation using PSO-DV hybrid algorithm

  • Author

    Vaisakh, K. ; Rao, P. Kanta

  • Author_Institution
    Dept. of Electr. Eng., Andhra Univ., Visakhapatnam
  • Volume
    1
  • fYear
    2008
  • fDate
    11-13 Dec. 2008
  • Firstpage
    246
  • Lastpage
    251
  • Abstract
    The reactive power allocation aspect has received considerable attention in present day power system operation and control. At heavy/light load periods, voltage control is provided by the controllable reactive sources, which are scattered throughout the transmission network, function in co-ordination. Reactive power dispatch problem can be formulated as a nonlinear constrained optimization problem. This paper presents a Particle Swarm with Differentially perturbed Velocity (PSO-DV) hybrid algorithm for optimal reactive power dispatch and voltage control of power systems. The PSO-DV is applied for optimal power system reactive power dispatch on an IEEE 30-bus system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss of the power system. The simulation results show the effectiveness and robustness of the proposed approach.
  • Keywords
    load dispatching; particle swarm optimisation; power system control; reactive power; voltage control; IEEE 30-bus system; PSO-DV hybrid algorithm; nonlinear constrained optimization problem; optimal reactive power allocation; particle swarm with differentially perturbed velocity; power system control; power system operation; reactive power dispatch problem; transmission network; voltage control; Control systems; Hybrid power systems; Light scattering; Lighting control; Power system control; Power system simulation; Power systems; Reactive power; Reactive power control; Voltage control; DE; PSO; Reactive power dispatch; genetic algorithm adaptive search; global optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference, 2008. INDICON 2008. Annual IEEE
  • Conference_Location
    Kanpur
  • Print_ISBN
    978-1-4244-3825-9
  • Electronic_ISBN
    978-1-4244-2747-5
  • Type

    conf

  • DOI
    10.1109/INDCON.2008.4768834
  • Filename
    4768834