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Neural Control of OWC-based Wave Power Generation Plant

Date: October 09, 2013 at 15:26 GMT

The control and simulation of the power delivered to the grid is becoming an important topic, especially when the number of distributed power generation systems increases. Wave energy is one of the most promising forms of ocean renewable sources because of its high availability. In this paper, an Oscillating Water Column (OWC)-based wave power generation plant equipped with a Doubly Fed Induction Generator is modeled and a neural control method for the Wells turbine-generator module is implemented.
For this purpose, a neural control using the backpropagation algorithm, has been implemented based on the adjust of stator active power reference.

The proposed control system does appropriately adapt the stator active power reference according to the pressure drop entry. The simulated results show how the controller avoids the stalling behaviour and that the active power of the generator fed into the grid is significantly higher in the controlled case than in the uncontrolled one.

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