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In this paper, an Artificial Neural Network ANN based algorithm is proposed for energy conversion system adapting Oscillating Water Column (OWC) coupled to a Wells turbine. The presented algorithm integrates 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 proposed technique...
A decoupled active-reactive power control technique is proposed for an oscillating water column (OWC) based wave energy conversion system adopting grid connected doubly fed induction generator (DFIG). The effectiveness of the technique is investigated under various rotor speed and reactive power reference commands. The results show enhanced performance, better tracking, and improved transient response.
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