Multi-Layer Artificial Neural Networks Based MPPT-Pitch Angle Control of a Tidal Stream Generator

Multi-Layer Artificial Neural Networks Based MPPT-Pitch Angle Control of a Tidal Stream Generator

Artificial intelligence technologies are widely investigated as a promising technique for tackling complex and ill-defined problems. In this context, artificial neural networks methodology has been considered as an effective tool to handle renewable energy systems. Thereby, the use of Tidal Stream G...

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Bibliographic Details
Main Authors: Khaoula Ghefiri, Soufiene Bouallègue, Izaskun Garrido, Aitor J. Garrido, Joseph Haggège
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
artificial intelligence
artificial neural networks control
back-to-back converter
data processing
Doubly Fed Induction Generator (DFIG)
Maximum Power Point Tracking (MPPT)
pitch regulation
power control
Tidal Stream Generator (TSG)
Online Access:http://www.mdpi.com/1424-8220/18/5/1317

Internet

http://www.mdpi.com/1424-8220/18/5/1317

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