Abstract

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.

Highlights

  • Marine Renewable Energy (MRE) is trending after solar and wind energy in the R&D sector and energy markets these years

  • An airflow control based on a Proportional-Integral-Derivative (PID) controller has been proposed and the recourse to the Harmony Search algorithms and its variants has been proposed in order to facilitate the control design of the parameters

  • This section describes the modelling of the different subsystems of the Oscillating Water Column (OWC) shown in Figure 1, which includes would be including the mathematical models of the wave input, capture chamber, Wells turbine and the Doubly-Fed Induction Generator (DFIG)

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Summary

Introduction

Marine Renewable Energy (MRE) is trending after solar and wind energy in the R&D sector and energy markets these years. This paper discusses the airflow control of an example of WEC integrated into a breakwater which is the NEREIDA Multiple Oscillating Water Column (MOWC) [18] This facility is installed in the breakwater of Mutriku in the north of Spain and it is an OWC system based on Wells turbine for wave energy conversion. Wells turbine is their power-limitation due to the occurrence of the stall effect [19,20] In this context, an airflow control based on a Proportional-Integral-Derivative (PID) controller has been proposed and the recourse to the Harmony Search algorithms and its variants has been proposed in order to facilitate the control design of the parameters.

Model Statement
Wave Surface Dynamics
Capture Chamber Model
Wells Turbine Model
Doubly-Fed Induction Generator Model
Stalling Behavior of the Wells Turbine
Airflow Control Problem Formulation
Harmony Search Algorithm
Improved Harmony Search Algorithm
Global-Best Harmony Search Algorithm
Self-Adaptive Global-Best Harmony Search Algorithm
Self-Adaptation of HMCR and PAR
Dynamic Evolution of BW
New Improvisation Process
SGHS Computational Procedure
Results and Discussion
Optimization and Computational Results
OWC Performance Evaluation
Performance With Regular Waves
Performance With Real Wave Data
Conclusions

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