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Energies
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Design and Implementation of Control Schemes for Wave Energy Systems
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Design and Implementation of Control Schemes for Wave Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: closed (5 December 2023) | Viewed by 12717

Special Issue Editor

Prof. Dr. Oscar Barambones

E-Mail Website
Guest Editor
Department of System Engineering and Automation, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country, UPV/EHU, Vitoria, Spain
Interests: intelligent control; advanced control; robust control; adaptive control; wind turbine systems; PV systems; wireless control schemes; wireless sensor networks; smart sensors and actuators
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Energies Special Issue “Design and Implementation of Control Schemes for Wave Energy Systems”.

The control system is a key element in order to increase the power generated and therefore the efficiency of Wave Energy Systems. Because of the nonlinear dynamics and uncertainties usually present in Wave Energy Systems, the efficiency of these systems can be enhanced by employing advanced control schemes.

Wave energy converters are usually constructed using electric generators of a variable velocity, like a double feed induction generator (DFIG), as they may improve the system efficiency so as to generate power when compared to fixed speed generators. The main reason for this is that generators with a variable speed may adapt the speed of the turbine in order to maintain optimal flow coefficient values, which improves the efficiency of the turbine. However, in these systems, a suitable controller for the turbine velocity is required in order to track the optimal velocity reference, which optimizes the power generation.

This Special Issue of Energies aims at addressing the challenges in the control design and implementation of Wave Energy Systems used to convert wave energy in electrical energy. Original submissions focusing on new control techniques and the practical implementation of these new control schemes, which are useful for increasing our knowledge of Wave Energy Systems, on the basis of one or more of the following topics, are welcome in this Special Issue. The Issue will include, but is not be limited to, the following topics:
  • Adaptive control schemes
  • Robust control schemes
  • Sliding mode-based control schemes
  • Fuzzy logic-based control schemes
  • Neural network-based control schemes
  • Observer-based control schemes
  • Practical implementation of advanced control schemes

Prof. Dr. Oscar Barambones
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wave energy systems
  • intelligent control
  • robust control
  • adaptive control

Published Papers (4 papers)

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Research

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19 pages, 768 KiB  
Article
Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System
by Cristian Napole, Oscar Barambones, Mohamed Derbeli, José Antonio Cortajarena, Isidro Calvo, Patxi Alkorta and Pablo Fernandez Bustamante
Energies 2021, 14(12), 3499; https://doi.org/10.3390/en14123499 - 12 Jun 2021
Cited by 9 | Viewed by 2272
Abstract
Oscillating water column (OWC) systems are water power generation plants that transform wave kinetic energy into electrical energy by a surrounded air column in a chamber that changes its pressure through the waves motion. The chamber pressure output spins a Wells turbine that [...] Read more.
Oscillating water column (OWC) systems are water power generation plants that transform wave kinetic energy into electrical energy by a surrounded air column in a chamber that changes its pressure through the waves motion. The chamber pressure output spins a Wells turbine that is linked to a doubly fed induction generator (DFIG), flexible devices that adjust the turbine speed to increase the efficiency. However, there are different nonlinearities associated with these systems such as weather conditions, uncertainties, and turbine stalling phenomenon. In this research, a fuzzy logic controller (FLC) combined with an airflow reference generator (ARG) was designed and validated in a simulation environment to display the efficiency enhancement of an OWC system by the regulation of the turbine speed. Results show that the proposed framework not only increased the system output power, but the stalling is also avoided under different pressure profiles. Full article
(This article belongs to the Special Issue Design and Implementation of Control Schemes for Wave Energy Systems)
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16 pages, 4453 KiB  
Article
Hydrodynamic Investigation of a Dual-Cylindrical OWC Wave Energy Converter Integrated into a Fixed Caisson Breakwater
by Chang Wan, Can Yang, Qinghe Fang, Zaijin You, Jing Geng and Yongxue Wang
Energies 2020, 13(4), 896; https://doi.org/10.3390/en13040896 - 18 Feb 2020
Cited by 12 | Viewed by 2623
Abstract
A fixed dual cylindrical oscillating water column (OWC) acting as a breakwater-type wave energy converter (WEC) is proposed to harvest the wave energy effectively for shallow offshore sites. An analytical model is developed to investigate the hydrodynamic characteristics and the energy capture capacity [...] Read more.
A fixed dual cylindrical oscillating water column (OWC) acting as a breakwater-type wave energy converter (WEC) is proposed to harvest the wave energy effectively for shallow offshore sites. An analytical model is developed to investigate the hydrodynamic characteristics and the energy capture capacity of the cylindrical OWC device in severe waves. Based on the linear potential flow theory, the analytical solutions of the velocity potential in diffraction mode are solved by matching the Eigen-function expansion technique, and the continuous conditions of the velocity potential and fluid velocity between the computational sub-domains are involved in solving the problem for determining a solution. The proposed model is verified against the published data. The effects of the wave height, the angle of chamber clapboard and the radius of the inner and outer cylindrical column on the energy conversion efficiency are investigated in this paper. To improve the energy conversion performance and obtain a faster prediction for structural optimization of the cylindrical OWC, the geometrical parameters are further discussed in the analytical model. The results indicate that the geometrical parameters of the chamber have significant effects on the wave energy absorption efficiency. It is found that the effective frequency bandwidth of the dual cylindrical column can be broadened by improving the angle of the chamber clapboard and the inner–outer cylinder diameter ratio. Full article
(This article belongs to the Special Issue Design and Implementation of Control Schemes for Wave Energy Systems)
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21 pages, 2906 KiB  
Article
New Intelligent Control Strategy Hybrid Grey–RCMAC Algorithm for Ocean Wave Power Generation Systems
by Kai-Hung Lu, Chih-Ming Hong, Zhigang Han and Lei Yu
Energies 2020, 13(1), 241; https://doi.org/10.3390/en13010241 - 3 Jan 2020
Cited by 12 | Viewed by 2088
Abstract
In this article, the characteristics of the wave energy converter are considered and a novel dynamic controller (NDC) for a permanent magnet synchronous generator (PMSG) is proposed for Wells turbine applications. The proposed NDC includes a recursive cerebellum model articulation controller (RCMAC) with [...] Read more.
In this article, the characteristics of the wave energy converter are considered and a novel dynamic controller (NDC) for a permanent magnet synchronous generator (PMSG) is proposed for Wells turbine applications. The proposed NDC includes a recursive cerebellum model articulation controller (RCMAC) with a grey predictor and innovative particle swarm optimization (IPSO). IPSO is developed to adjust the learning speed and improve learning capability. Based on the supervised learning method, online adjustment law of RCMAC parameters is derived to ensure the system’s stability. The NDC scheme is designed to maintain a supply–demand balance between intermittent power generation and grid power supply. The proposed NDC exhibits an improved power regulation and dynamic performance of the wave energy system under various operation conditions. Furthermore, better results are obtained when the RCMAC is used with the grey predictive model method. Full article
(This article belongs to the Special Issue Design and Implementation of Control Schemes for Wave Energy Systems)
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Review

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31 pages, 1932 KiB  
Review
Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications
by Mohamed Derbeli, Cristian Napole, Oscar Barambones, Jesus Sanchez, Isidro Calvo and Pablo Fernández-Bustamante
Energies 2021, 14(22), 7806; https://doi.org/10.3390/en14227806 - 22 Nov 2021
Cited by 30 | Viewed by 4113
Abstract
This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be [...] Read more.
This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software. Full article
(This article belongs to the Special Issue Design and Implementation of Control Schemes for Wave Energy Systems)
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