Title :
Advanced control strategies for wind energy systems: An overview
Author :
Nguyen, Hoa M. ; Naidu, D. Subbaram
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Idaho State Univ., Pocatello, ID, USA
Abstract :
Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.
Keywords :
adaptive control; fuzzy control; genetic algorithms; neurocontrollers; nonlinear control systems; optimal control; power generation control; robust control; three-term control; wind power plants; adaptive control; advanced control strategy; fuzzy logic control; genetic algorithms; hard control techniques; neural network control; nonlinear control; optimal control; proportional-integral-derivative control; robust control; soft control techniques; wind energy systems; Artificial neural networks; Fuzzy logic; Generators; Rotors; Voltage control; Wind energy; Wind speed; Advanced Control Strategies; Fusion of Hard and Soft Control; Hard Control; Soft Control; Wind Energy Systems;
Conference_Titel :
Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-61284-789-4
Electronic_ISBN :
978-1-61284-787-0
DOI :
10.1109/PSCE.2011.5772514