Title :
Optimal design of direct-driven PM wind generator aimed for maximum AEP using parallel computing GA based on internet web service
Author :
Hochang Jung ; Jeon, Won ; Lee, Cheol-Gyun ; Hahn, Sung-Chin ; Jung, Sang-Yong
Author_Institution :
Dept. of Electr. Eng., Dong-A Univ., Busan
Abstract :
Optimal design of the direct-driven permanent magnet(PM) wind generator, combined with F.E.A(finite element analysis) and genetic algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the proposed parallel computing via internet web service has contributed to reducing excessive computing times for optimization.
Keywords :
finite element analysis; genetic algorithms; permanent magnet motors; wind power; Internet Web service; direct-driven PM wind generator; finite element analysis; genetic algorithm; optimal design; parallel computing; permanent magnet wind generator; wind speed distribution; Algorithm design and analysis; Character generation; Genetics; Magnetic analysis; Parallel processing; Performance analysis; Web and internet services; Web services; Wind energy generation; Wind speed;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758271
