Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column

The Harmony Search algorithm has attracted a lot of interest in the past years because of its simplicity and efficiency. This led many scientists to develop various variants for many applications. In this paper, four variants of the Harmony search algorithm were implemented and tested to optimize th...

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Bibliographic Details
Published in:Applied sciences 2020-07, Vol.10 (13), p.4628
Main Authors: M’zoughi, Fares, Garrido, Izaskun, Garrido, Aitor J., De La Sen, Manuel
Format: Article
Language:English
Subjects:
Adaptive algorithms
Air flow
airflow control
Algorithms
Comparative studies
Control
Controllers
Converters
Design optimization
Efficiency
Energy industry
harmony search algorithm
Management
Mechanical properties
Optimization
oscillating water column
power generation
Properties
Search algorithms
Seawater
stalling behavior
Technology application
Turbines
Varieties
Water circulation
Water column
Wave energy
Wave power
Wells turbines
Wind power
Wind turbines
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Summary:The Harmony Search algorithm has attracted a lot of interest in the past years because of its simplicity and efficiency. This led many scientists to develop various variants for many applications. In this paper, four variants of the Harmony search algorithm were implemented and tested to optimize the control design of the Proportional-Integral-derivative (PID) controller in a proposed airflow control scheme. The airflow control strategy has been proposed to deal with the undesired stalling phenomenon of the Wells turbine in an Oscillating Water Column (OWC). To showcase the effectiveness of the Self-Adaptive Global Harmony Search (SGHS) algorithm over traditional tuning methods, a comparative study has been carried out between the optimized PID, the traditionally tuned PID and the uncontrolled OWC system. The results of optimization showed that the Self-Adaptive Global Harmony Search (SGHS) algorithm adapted the best to the problem of the airflow control within the wave energy converter. Moreover, the OWC performance is superior when using the SGHS-tuned PID.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10134628