Abstract
The wind generators have been installed with high output power to increase the energy production and efficiency. Hence, Optimal design of the direct-driven PM wind generator, coupled with F.E.M(Finite Element Method) 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 parallel computing via internet web service has been applied to loose excessive computing times for optimization. The results of the optimal design of Surface-Mounted Permanent Magnet Synchronous Generator(SPMSG) are compared with each other candidates to verify the usefulness of the maximizing AEP model.
| Original language | English |
|---|---|
| Pages (from-to) | 2109-2115 |
| Number of pages | 7 |
| Journal | Transactions of the Korean Institute of Electrical Engineers |
| Volume | 56 |
| Issue number | 12 |
| State | Published - Dec 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Annual Energy Production(AEP)
- Finite element method(F.E.M)
- Genetic Algorithm(GA)
- Parallel computing
- PM wind generator
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