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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5973969
