Title :
Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System
Author :
Kim, Shang-Hoon ; Jung, Sang-Yong
Author_Institution :
Dept. of Electr. Eng., Dong-A Univ., Busan, South Korea
Abstract :
In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy for the optimization process compared with GA only.
Keywords :
expert systems; genetic algorithms; statistical analysis; wind power plants; ES; GA; direct driven wind generator; expert system; genetic algorithm; optimal design; statistical model; wind speed distribution; Algorithm design and analysis; Expert systems; Genetic algorithms;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481699
