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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008 |
| Publisher | IEEE Computer Society |
| Pages | 2045-2050 |
| Number of pages | 6 |
| ISBN (Print) | 9781424417667 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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