• DocumentCode
    2606775
  • Title

    Intelligent optimal tuning of hydraulic turbine governor PID gains based on nonlinear model

  • Author

    Fang, Hongqing ; Chen, Long ; Li, Xunming

  • Author_Institution
    Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1342
  • Lastpage
    1345
  • Abstract
    Based on the hydraulic-mechanincal-electrical mathematical models provided by IEEE working group, the non-elastic water hammer effect was consided for hydro turbine regulating system of single-machine and single-conduit without surge tank. And then, genetic algorithm was applied to optimal tuning of hydraulic turbine governor PID gains. The computer simulation results indicate the effectiveness of the optimal results.
  • Keywords
    genetic algorithms; hydraulic turbines; optimal control; three-term control; genetic algorithm; genetic surge; hydraulic turbine governor PID gain; hydraulic-mechanincal-electrical mathematical model; hydroturbine regulating system; intelligent optimal tuning; nonelastic water hammer effect; nonlinear model; single-conduit system; single-machine system; Energy conversion; Genetic algorithms; Hydraulic turbines; Mathematical model; Optimization; Power system dynamics; Tuning; Genetic algorithm; Hydraulic turbine governor; Nonlinear models; Optimal tuning; PID gains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5973969
  • Filename
    5973969