Title :
Apply intelligent control strategy in wind energy conversion system
Author :
Junhua, Yang ; Jie, Wu ; Jinming, Yang ; Ping, Yang
Author_Institution :
Autom. Coll., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
The wind energy conversion system (WECS) was a strong nonlinear system. The wind energy parameters of wind farm possessed high stochastic, various uncertainties that weren´t exactly recognized. As this kind of system had unmodel or does not have accurate modeled part, it was very difficult to be controlled effectively. The self-features and merits of intelligent control methods were extremely suitable for WECS. The main achievements and methods of fuzzy logic control, neural network control, expert system control and synthesis intelligent control used in the control of WECS stability, speed control system and maximum-power transfer were surveyed. Some certain problems to be solved were proposed simultaneously.
Keywords :
expert systems; fuzzy control; intelligent control; neurocontrollers; nonlinear control systems; velocity control; wind power; wind power plants; expert system control; fuzzy logic control; intelligent control; maximum power transfer; neural network control; nonlinear system; speed control system; wind energy conversion system; wind farm; Control system synthesis; Expert systems; Fuzzy logic; Intelligent control; Neural networks; Nonlinear systems; Stochastic processes; Uncertainty; Wind energy; Wind farms;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343695