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Electronics 2019, 8(1), 70; https://doi.org/10.3390/electronics8010070

Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant

1
Automatic Control Group—ACG, Department of Automatic Control and Systems Engineering, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), 48012 Bilbao, Spain
2
Laboratory of Research in Automatic Control—LA.R.A., National Engineering School of Tunis (ENIT), University of Tunis El Manar, BP 37, Le Belvédère, Tunis 1002, Tunisia
*
Author to whom correspondence should be addressed.
Received: 15 November 2018 / Revised: 19 December 2018 / Accepted: 3 January 2019 / Published: 8 January 2019
(This article belongs to the Special Issue Intelligent Modelling and Control in Renewable Energy Systems)
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Abstract

Control engineering in renewable energy systems is a delicate and tedious task, especially due to the unpredictable nature of the renewable resources, which requires precision and robustness. These requirements can be ensured using intelligent control, which provides better performance than many conventional techniques and methods. This paper focuses on the modeling and the intelligent control of the NEREIDA wave power plant of Mutriku in Spain. In this context, the design of two novel intelligent airflow controls for a stalling-free operation of the Wells turbine-based power take-off system is presented and compared. The airflow control will ensure the avoidance of the stalling behavior using an intelligent PID controller. The first control design methodology is based on the metaheuristic algorithms to ensure the optimization of the controller gains. The second methodology is based on the fuzzy gain scheduling of the gains. Two study cases were performed to compare the optimized-PID and FGS-PID to a conventional PID in two wave conditions. The results show the superior performance of both proposed controls over the conventional PID, providing power generation improvement in regular and irregular waves. View Full-Text
Keywords: airflow control; back-to-back converter; Fuzzy Gain Scheduling (FGS); Harmony Search Algorithm (HSA); metaheuristic algorithms; optimization; Oscillating Water Column (OWC); power generation; stalling behavior; wave energy airflow control; back-to-back converter; Fuzzy Gain Scheduling (FGS); Harmony Search Algorithm (HSA); metaheuristic algorithms; optimization; Oscillating Water Column (OWC); power generation; stalling behavior; wave energy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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M’zoughi, F.; Garrido, I.; Bouallègue, S.; Ayadi, M.; Garrido, A.J. Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant. Electronics 2019, 8, 70.

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