• DocumentCode
    3397656
  • Title

    Parameters Optimal Design of HVDC PI Controller Based on APSO Algorithm

  • Author

    Zhang, Yu ; Liu, Chongru

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For the disadvantages of the traditional PSO algorithm, which global optimum and convergence speed and accuracy are difficult to take into account together, proposed an adaptive PSO algorithm using a inertia weight factor, and applied it to the PI controller parameters of HVDC optimization design to CIGRE Benchmark Model as an example, according to its structure and its electrical parameters, deduced rectifier constant current control system transfer function expression, and calculate the value of the PI parameters with adaptive particle swarm optimization, simulation results show that the proposed method is effective and practical.
  • Keywords
    HVDC power transmission; PI control; electric current control; particle swarm optimisation; power transmission control; rectifiers; APSO algorithm; CIGRE benchmark model; HVDC PI controller; HVDC optimization design; PI parameters; adaptive PSO algorithm; adaptive particle swarm optimization; convergence speed; electrical parameters; global optimum; inertia weight factor; parameters optimal design; rectifier constant current control system; structure parameters; traditional PSO algorithm; transfer function expression; Control systems; Current measurement; HVDC transmission; Optimization; Particle swarm optimization; Rectifiers; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307585
  • Filename
    6307585