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Stalling Phenomenon Prevention using Artificial Neural Network Based Strategy for Oscillation Water Column Coupled to Wells Turbine
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| Author(s) |
Salwa YOUSRY |
| Abstract |
In this paper, an Artificial Neural Network ANN based algorithm is proposed for energy conversionsystem adapting Oscillating Water Column (OWC) coupled to a Wells turbine. The presented algorithmintegrates with the associated P-Q controlled grid connected Doubly Fed Induction Generator (DFIG)by calculating the optimized turbine speed that grantees stalling phenomenon avoidance.The proposedtechnique effectiveness has been attested by simulating various operation conditions featuring differentinput differential pressure levels. The presented technique offers simplified tuned algorithm in additionto fast transient response with minimal oscillation during steady state operation. |
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| Filename: | 0324-epe2017-full-19244569.pdf |
| Filesize: | 847.8 KB |
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| Type |
Members Only |
| Date |
Last modified 2018-04-17 by System |
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