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Fares M'zoughi is currently a Postdoctoral Researcher with the Automatic Control Group (ACG), University of the Basque Country (UPV/EHU), Bilbao, Spain. He received the Engineering degree in mechatronics from the National Engineering School of Carthage (ENICarthage), Carthage, Tunisia, in 2013, the master's degree in automatic control and signal processing from the National Engineering School of Tunis (ENIT), Tunis, Tunisia, in 2014, tand both the Ph.D. degree in Engineering Control, Automation & Robotics from UPV/EHU, and the Ph.D. degree in Electrical Engineering from ENIT in a cotutelle framework, in 2018. His current research interests include renewable energy applications, mechatronics, adaptive control, intelligent control design, and applied control of dynamic systems, in particular, wave power generation plants.
The implementation and integration of new methods and control techniques to floating offshore wind turbines (FOWTs) have the potential to significantly improve its structural response. This paper discusses the idea of integrating oscillating water columns (OWCs) into the barge platform of the FOWT to transform it into a multi-purpose platform for harnessing both wind and wave energies. Moreover, the OWCs will be operated in order to help stabilize the FOWT platform by means of an airflow control strategy used to reduce the platform pitch and tower top fore-aft displacement. This objective is achieved by a proposed complementary airflow control strategy to control the valves within the OWCs. The comparative study between a standard FOWT and the proposed OWC-based FOWT shows an improvement in the platform’s stability.
Fares M’Zoughi; Payam Aboutalebi; Izaskun Garrido; Aitor Garrido; Manuel De La Sen. Complementary Airflow Control of Oscillating Water Columns for Floating Offshore Wind Turbine Stabilization. Mathematics 2021, 9, 1364 .
AMA StyleFares M’Zoughi, Payam Aboutalebi, Izaskun Garrido, Aitor Garrido, Manuel De La Sen. Complementary Airflow Control of Oscillating Water Columns for Floating Offshore Wind Turbine Stabilization. Mathematics. 2021; 9 (12):1364.
Chicago/Turabian StyleFares M’Zoughi; Payam Aboutalebi; Izaskun Garrido; Aitor Garrido; Manuel De La Sen. 2021. "Complementary Airflow Control of Oscillating Water Columns for Floating Offshore Wind Turbine Stabilization." Mathematics 9, no. 12: 1364.
In this article, a new strategy for switching control has been proposed with the aim of reducing oscillations in floating offshore wind turbines. Such oscillations lead to a shortage in the system’s efficiency, lifespan and harvesting capability of wind and wave energies. In order to study the decreasing of undesired oscillations in the system, particularly in pitch and top tower fore-aft movements, a square-shaped platform barge equipped with four symmetric oscillating water columns has been considered. The oscillating water columns’ air flux valves allow to operate the air columns so that to control the barge movements caused by oscillatory motion of the waves. In order to design the control scheme, response amplitude operators have been used to evaluate the performance of the system for a range of wave frequency profiles. These response amplitude operators analysis makes it possible to implement a switching control strategy to adequately regulate the valves opening/closing transition. The obtained results show that the proposed controlled oscillating water column-based barge present a better performance compared to the traditional barge one. In the case study with the period of 10 s, the results indicate the significant oscillation reduction for the controlled oscillating water column-based system compared to the standard barge system by 30.8% in pitch angle and 25% in fore-aft displacement.
Payam Aboutalebi; Fares M’Zoughi; Itziar Martija; Izaskun Garrido; Aitor Garrido. Switching Control Strategy for Oscillating Water Columns Based on Response Amplitude Operators for Floating Offshore Wind Turbines Stabilization. Applied Sciences 2021, 11, 5249 .
AMA StylePayam Aboutalebi, Fares M’Zoughi, Itziar Martija, Izaskun Garrido, Aitor Garrido. Switching Control Strategy for Oscillating Water Columns Based on Response Amplitude Operators for Floating Offshore Wind Turbines Stabilization. Applied Sciences. 2021; 11 (11):5249.
Chicago/Turabian StylePayam Aboutalebi; Fares M’Zoughi; Itziar Martija; Izaskun Garrido; Aitor Garrido. 2021. "Switching Control Strategy for Oscillating Water Columns Based on Response Amplitude Operators for Floating Offshore Wind Turbines Stabilization." Applied Sciences 11, no. 11: 5249.
Undesired motions in Floating Offshore Wind Turbines (FOWT) lead to reduction of system efficiency, the system’s lifespan, wind and wave energy mitigation and increment of stress on the system and maintenance costs. In this article, a new barge platform structure for a FOWT has been proposed with the objective of reducing these undesired platform motions. The newly proposed barge structure aims to reduce the tower displacements and platform’s oscillations, particularly in rotational movements. This is achieved by installing Oscillating Water Columns (OWC) within the barge to oppose the oscillatory motion of the waves. Response Amplitude Operator (RAO) is used to predict the motions of the system exposed to different wave frequencies. From the RAOs analysis, the system’s performance has been evaluated for representative regular wave periods. Simulations using numerical tools show the positive impact of the added OWCs on the system’s stability. The results prove that the proposed platform presents better performance by decreasing the oscillations for the given range of wave frequencies, compared to the traditional barge platform.
Payam Aboutalebi; Fares M’Zoughi; Izaskun Garrido; Aitor Garrido. Performance Analysis on the Use of Oscillating Water Column in Barge-Based Floating Offshore Wind Turbines. Mathematics 2021, 9, 475 .
AMA StylePayam Aboutalebi, Fares M’Zoughi, Izaskun Garrido, Aitor Garrido. Performance Analysis on the Use of Oscillating Water Column in Barge-Based Floating Offshore Wind Turbines. Mathematics. 2021; 9 (5):475.
Chicago/Turabian StylePayam Aboutalebi; Fares M’Zoughi; Izaskun Garrido; Aitor Garrido. 2021. "Performance Analysis on the Use of Oscillating Water Column in Barge-Based Floating Offshore Wind Turbines." Mathematics 9, no. 5: 475.
This paper presents an ANN-based rotational speed control to avoid the stalling behavior in Oscillating Water Columns composed of a Doubly Fed Induction Generator driven by a Wells turbine. This control strategy uses rotational speed reference provided by an ANN-based Maximum Power Point Tracking. The ANN-based MPPT predicts the optimal rotational speed reference from wave amplitude and period. The neural network has been trained and uses wave surface elevation measurements gathered by an acoustic Doppler current profiler. The implemented ANN-based rotational speed control has been tested with two different wave conditions and results prove the effectiveness of avoiding the stall effect which improved the power generation.
Fares M’Zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements. Applied Sciences 2020, 10, 8975 .
AMA StyleFares M’Zoughi, Izaskun Garrido, Aitor J. Garrido, Manuel De La Sen. Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements. Applied Sciences. 2020; 10 (24):8975.
Chicago/Turabian StyleFares M’Zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. 2020. "Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements." Applied Sciences 10, no. 24: 8975.
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.
Fares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column. Applied Sciences 2020, 10, 4628 .
AMA StyleFares M'zoughi, Izaskun Garrido, Aitor J. Garrido, Manuel De La Sen. Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column. Applied Sciences. 2020; 10 (13):4628.
Chicago/Turabian StyleFares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. 2020. "Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column." Applied Sciences 10, no. 13: 4628.
Global optimization problems are mostly solved using search methods. Therefore, decreasing the search space can increase the efficiency of their solving. A widely exploited technique to reduce the search space is symmetry-breaking, which helps impose constraints on breaking existing symmetries. The present article deals with the airflow control optimization problem in an oscillating-water-column using the Particle Swarm Optimization (PSO). In an effort to ameliorate the efficiency of the PSO search, a symmetry-breaking technique has been implemented. The results of optimization showed that shrinking the search space helped to reduce the search time and ameliorate the efficiency of the PSO algorithm.
Fares M’Zoughi; Izaskun Garrido; Aitor J. Garrido. Symmetry-Breaking for Airflow Control Optimization of an Oscillating-Water-Column System. Symmetry 2020, 12, 895 .
AMA StyleFares M’Zoughi, Izaskun Garrido, Aitor J. Garrido. Symmetry-Breaking for Airflow Control Optimization of an Oscillating-Water-Column System. Symmetry. 2020; 12 (6):895.
Chicago/Turabian StyleFares M’Zoughi; Izaskun Garrido; Aitor J. Garrido. 2020. "Symmetry-Breaking for Airflow Control Optimization of an Oscillating-Water-Column System." Symmetry 12, no. 6: 895.
The generated power of Oscillating Water Columns (OWC) based on Wells turbines is limited due to the stalling behavior. Therefore, this paper presents the modeling of an OWC and a rotational speed control using a novel Fuzzy Gain Scheduled-Sliding Mode controller (FGS-SMC) for a stalling-free operation. The proposed SMC-rotational speed control will regulate the turbo-generator angular velocity to avoid the stalling behavior and increase the generated power. In an effort to reduce the fluctuations in the generated power, Fuzzy Logic Supervisors (FLS) were designed to adaptively schedule the switching gains of the SMC controller to reduce the chattering and improve its performance. A comparative study has been carried out between the FGS-SMC, the SMC and uncontrolled OWC using irregular waves and real measured waves. Results show the effectiveness of the proposed controls against the uncontrolled case and the superior performance of FGS-SMC over the SMC ensuring power generation improvement.
Fares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. Fuzzy Gain Scheduled-Sliding Mode Rotational Speed Control of an Oscillating Water Column. IEEE Access 2020, 8, 45853 -45873.
AMA StyleFares M'zoughi, Izaskun Garrido, Aitor J. Garrido, Manuel De La Sen. Fuzzy Gain Scheduled-Sliding Mode Rotational Speed Control of an Oscillating Water Column. IEEE Access. 2020; 8 (99):45853-45873.
Chicago/Turabian StyleFares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La Sen. 2020. "Fuzzy Gain Scheduled-Sliding Mode Rotational Speed Control of an Oscillating Water Column." IEEE Access 8, no. 99: 45853-45873.
Oscillating water column (OWC) plants face power generation limitations due to the stalling phenomenon. This behavior can be avoided by an airflow control strategy that can anticipate the incoming peak waves and reduce its airflow velocity within the turbine duct. In this sense, this work aims to use the power of artificial neural networks (ANN) to recognize the different incoming waves in order to distinguish the strong waves that provoke the stalling behavior and generate a suitable airflow speed reference for the airflow control scheme. The ANN is, therefore, trained using real surface elevation measurements of the waves. The ANN-based airflow control will control an air valve in the capture chamber to adjust the airflow speed as required. A comparative study has been carried out to compare the ANN-based airflow control to the uncontrolled OWC system in different sea conditions. Also, another study has been carried out using real measured wave input data and generated power of the NEREIDA wave power plant. Results show the effectiveness of the proposed ANN airflow control against the uncontrolled case ensuring power generation improvement.
Fares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La De La Sen. ANN-Based Airflow Control for an Oscillating Water Column Using Surface Elevation Measurements. Sensors 2020, 20, 1352 .
AMA StyleFares M'zoughi, Izaskun Garrido, Aitor J. Garrido, Manuel De La De La Sen. ANN-Based Airflow Control for an Oscillating Water Column Using Surface Elevation Measurements. Sensors. 2020; 20 (5):1352.
Chicago/Turabian StyleFares M'zoughi; Izaskun Garrido; Aitor J. Garrido; Manuel De La De La Sen. 2020. "ANN-Based Airflow Control for an Oscillating Water Column Using Surface Elevation Measurements." Sensors 20, no. 5: 1352.
Performance evaluation of a hydropower generation system is a critical science and engineering problem, with ubiquitous presence in hydropower plant applications. This study aims at a nonlinear model of the hydropower generation system with multiple units, where a novel modeling methodology for the start-up transient process is presented. Experimental data from an existing hydropower station are considered to validate the established model. The numerical result obtains the effective intervals and possible optimal values of the critical system parameters to diminish the operating risk of hydropower stations. The result also shows the interaction effect of the multiple units and the vibration performance of the system in the start-up process. The implemented application has an interface with the effective evaluation for the safety strategy of the HGS in the actual transient operation, and the obtained results have good precision and are in agreement with theories and engineering applications.
Huanhuan Li; Beibei Xu; Alireza Riasi; Przemyslaw Szulc; Diyi Chen; Fares M'Zoughi; Hans Ivar Skjelbred; Jiehong Kong; Pedram Tazraei. Performance evaluation in enabling safety for a hydropower generation system. Renewable Energy 2019, 143, 1628 -1642.
AMA StyleHuanhuan Li, Beibei Xu, Alireza Riasi, Przemyslaw Szulc, Diyi Chen, Fares M'Zoughi, Hans Ivar Skjelbred, Jiehong Kong, Pedram Tazraei. Performance evaluation in enabling safety for a hydropower generation system. Renewable Energy. 2019; 143 ():1628-1642.
Chicago/Turabian StyleHuanhuan Li; Beibei Xu; Alireza Riasi; Przemyslaw Szulc; Diyi Chen; Fares M'Zoughi; Hans Ivar Skjelbred; Jiehong Kong; Pedram Tazraei. 2019. "Performance evaluation in enabling safety for a hydropower generation system." Renewable Energy 143, no. : 1628-1642.
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.
Fares M’Zoughi; Izaskun Garrido; Soufiene Bouallègue; Mounir Ayadi; Aitor J. Garrido. Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant. Electronics 2019, 8, 70 .
AMA StyleFares M’Zoughi, Izaskun Garrido, Soufiene Bouallègue, Mounir Ayadi, Aitor J. Garrido. Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant. Electronics. 2019; 8 (1):70.
Chicago/Turabian StyleFares M’Zoughi; Izaskun Garrido; Soufiene Bouallègue; Mounir Ayadi; Aitor J. Garrido. 2019. "Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant." Electronics 8, no. 1: 70.
Numerous control schemes have been proposed to reach a more efficient power generation using Wells-turbine-based oscillating-water-column power plants. Most of these control strategies aim to avoid the stalling behavior, a feature of the Wells turbine, that limits the generated power. Besides, the plant must be able to maintain its performance despite the input variations due to the intrinsic oscillating nature of the waves and constant climate changes. This paper deals with the modeling and control of the NEREIDA wave power plant installed in the breakwater of Mutriku in the Basque Coast of Spain. In this context, the design of a novel fuzzy gain scheduled proportional integral (FGS-PI) controller is presented to improve the input airflow control. The fuzzy supervisor adequately changes the controller gains to offer the control scheme an adaptive mechanism against input parameter changes. Two study cases were performed to compare the FGS-PI to a conventional PI. The first test is for the output power optimization and the second is to test the robustness against parameter changes. Results show the superior performance of the proposed control providing power generation improvement and higher robustness even with varying input conditions.
Fares M'zoughi; Soufiene Bouallegue; Aitor J. Garrido; Izaskun Garrido; Mounir Ayadi. Fuzzy Gain Scheduled PI-Based Airflow Control of an Oscillating Water Column in Wave Power Generation Plants. IEEE Journal of Oceanic Engineering 2018, 44, 1058 -1076.
AMA StyleFares M'zoughi, Soufiene Bouallegue, Aitor J. Garrido, Izaskun Garrido, Mounir Ayadi. Fuzzy Gain Scheduled PI-Based Airflow Control of an Oscillating Water Column in Wave Power Generation Plants. IEEE Journal of Oceanic Engineering. 2018; 44 (4):1058-1076.
Chicago/Turabian StyleFares M'zoughi; Soufiene Bouallegue; Aitor J. Garrido; Izaskun Garrido; Mounir Ayadi. 2018. "Fuzzy Gain Scheduled PI-Based Airflow Control of an Oscillating Water Column in Wave Power Generation Plants." IEEE Journal of Oceanic Engineering 44, no. 4: 1058-1076.
This paper deals with the modeling and control of the NEREIDA wave generation power plant installed in Mutriku, Spain. This kind of Oscillating Water Column (OWC) plants usually employ a Wells turbine coupled to a Doubly Fed Induction Generator (DFIG). The stalling behavior of the Wells turbine limits the generated power. In this context, a sliding mode rotational speed control is proposed to help avoiding this phenomenon. This will regulate the speed by means of the Rotor Side Converter (RSC) of the Back-to-Back converter governing the generator. The results of the comparative study show that the proposed control provides a higher generated power compared to the uncontrolled case.
Fares M'Zoughi; Aitor J. Garrido; Izaskun Garrido; Soufiene Bouallegue; Mounir Ayadi. Sliding Mode Rotational Speed Control of an Oscillating Water Column-based Wave Generation Power Plants. 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) 2018, 1263 -1270.
AMA StyleFares M'Zoughi, Aitor J. Garrido, Izaskun Garrido, Soufiene Bouallegue, Mounir Ayadi. Sliding Mode Rotational Speed Control of an Oscillating Water Column-based Wave Generation Power Plants. 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). 2018; ():1263-1270.
Chicago/Turabian StyleFares M'Zoughi; Aitor J. Garrido; Izaskun Garrido; Soufiene Bouallegue; Mounir Ayadi. 2018. "Sliding Mode Rotational Speed Control of an Oscillating Water Column-based Wave Generation Power Plants." 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) , no. : 1263-1270.
The NEREIDA wave generation power plant installed in Mutriku, Spain is a multiple Oscillating Water Column (OWC) plant. The power takeoff consists of a Wells turbine coupled to a Doubly Fed Induction Generator (DFIG). The stalling behavior present in the Wells turbine limits the generated power. This paper presents the modeling and a Harmony Search Algorithm-based airflow control of the OWC. The Harmony Search Algorithm (HSA) is proposed to help overcome the limitations of a traditionally tuned PID. An investigation between HSA-tuned controller and the traditionally tuned controller has been performed. Results of the controlled and uncontrolled plant prove the effectiveness of the airflow control and the superiority of the HSA-tuned controller.
Fares M'zoughi; Soufiene Bouallegue; Mounir Ayadi; Aitor J. Garrido; Izaskun Garrido. Harmony search algorithm-based airflow control of an oscillating water column-based wave generation power plants. 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET) 2018, 249 -254.
AMA StyleFares M'zoughi, Soufiene Bouallegue, Mounir Ayadi, Aitor J. Garrido, Izaskun Garrido. Harmony search algorithm-based airflow control of an oscillating water column-based wave generation power plants. 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET). 2018; ():249-254.
Chicago/Turabian StyleFares M'zoughi; Soufiene Bouallegue; Mounir Ayadi; Aitor J. Garrido; Izaskun Garrido. 2018. "Harmony search algorithm-based airflow control of an oscillating water column-based wave generation power plants." 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET) , no. : 249-254.
The stalling behavior is a feature of the Wells turbine that limits the generated output power of power plants using this turbine. The NEREIDA wave power plant installed in the harbor of Mutriku in the northern Spanish shoreline constitutes an excellent example of this phenomenon. This article deals with the modeling, simulation and control of an oscillating water column unit within the NEREIDA wave power plant. The stalling behavior is investigated and two control strategies are proposed to avoid it. The first control approach is the airflow control which aims to adjust the airflow in the turbine duct using a proportional–integral–derivative controller tuned with the water cycle algorithm. The second control approach is the rotational speed control adjusting the rotor speed using the rotor-side converter of the back-to-back converter which is wired to the doubly fed induction generator. Results of comparative studies show a power generation improvement even relative to the real measured data.
Fares M’Zoughi; Soufiene Bouallègue; Aitor J Garrido; Izaskun Garrido; Mounir Ayadi. Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 2018, 234, 118 -133.
AMA StyleFares M’Zoughi, Soufiene Bouallègue, Aitor J Garrido, Izaskun Garrido, Mounir Ayadi. Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 2018; 234 (1):118-133.
Chicago/Turabian StyleFares M’Zoughi; Soufiene Bouallègue; Aitor J Garrido; Izaskun Garrido; Mounir Ayadi. 2018. "Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 1: 118-133.
The rising use of renewable power generation plants is highlighting the need for an integrated research combining multiple disciplines in order to achieve a commercially competitive technology stage. The demonstrative NEREIDA wave power plant installed in the northern coast of Spain constitutes a good example of this effort. This paper deals with the design, modeling and control of the Oscillating-Water-Column-based wave energy converter in order to maximize the power output of the NEREIDA power plant. The power optimization relies on two control strategies proposed to avoid the stalling behavior, a characteristic of the Wells turbine, which limits the system's power. The first control strategy is airflow control using PID controller tuned by Particle Swarm Optimization algorithm and its recent memetic variant called Fractional Particle Swarm Optimization Memetic Algorithm. This controller will control a valve to regulate the airflow in the duct. The second one consist of adequately controlling the rotational speed of the generator by means of the Rotor-Side-Converter of the Back-to-Back converter connected to the Doubly Fed Induction Generator to provide a swift way to respond to the variations in the turbine speed. The results show that both controls provide a higher power generation compared to the uncontrolled case.
Fares M'zoughi; Soufiene Bouallegue; Aitor J. Garrido; Izaskun Garrido; Mounir Ayadi. Stalling-Free Control Strategies for Oscillating-Water-Column-Based Wave Power Generation Plants. IEEE Transactions on Energy Conversion 2017, 33, 209 -222.
AMA StyleFares M'zoughi, Soufiene Bouallegue, Aitor J. Garrido, Izaskun Garrido, Mounir Ayadi. Stalling-Free Control Strategies for Oscillating-Water-Column-Based Wave Power Generation Plants. IEEE Transactions on Energy Conversion. 2017; 33 (1):209-222.
Chicago/Turabian StyleFares M'zoughi; Soufiene Bouallegue; Aitor J. Garrido; Izaskun Garrido; Mounir Ayadi. 2017. "Stalling-Free Control Strategies for Oscillating-Water-Column-Based Wave Power Generation Plants." IEEE Transactions on Energy Conversion 33, no. 1: 209-222.
This paper deals with the modelling, simulation and control of a wave power plant installed in the northern cost of Spain. This plant is an onshore Oscillating Water Column (OWC) composed of a Wells turbine coupled to a Doubly Fed Induction Generator (DFIG). The power generated by the OWC is limited by the stalling behavior, a feature of the Wells turbine; therefore an airflow control is proposed in order to avoid the stalling phenomenon. This is achieved by regulating the airflow in the turbine duct by means of the throttle valve. The proposed control is based on a Proportional Integral (PI) controller. The results shows that the proposed control strategy provides a significant improvement of the generated power.
Fares M'Zoughi; Soufiene Bouallegue; Mounir Ayadi; Aitor J. Garrido; Izaskun Garrido. Modelling and airflow control of an oscillating water column for wave power generation. 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) 2017, 0938 -0943.
AMA StyleFares M'Zoughi, Soufiene Bouallegue, Mounir Ayadi, Aitor J. Garrido, Izaskun Garrido. Modelling and airflow control of an oscillating water column for wave power generation. 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT). 2017; ():0938-0943.
Chicago/Turabian StyleFares M'Zoughi; Soufiene Bouallegue; Mounir Ayadi; Aitor J. Garrido; Izaskun Garrido. 2017. "Modelling and airflow control of an oscillating water column for wave power generation." 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) , no. : 0938-0943.
Climate change is challenging the current worldwide model of power generation. In this sense, European Union is promoting a deep transition collected in the 20-20-20 targets and the 2050 Energy Roadmap. These adjectives must be achieved by developing the use of clean, carbon-free energies, as it is the case of the renewableenergies and in particular of the ocean energy. The main problem with these kinds of energies is to reach a commercially mature stage so they can compete with conventional power sources. Therefore, it is crucial to reduce generation costs and increase the efficiency of the existing devices. With this regard, the work presents the modelling and experimental validation of the capture chamber of an Oscillating Water Column (OWC)-based powerplant. Although the study of the turbine and the generator may be considered a quite well-known matter, the control-oriented modelling of the capture chamber still deserves a further study to improve the power generation. In this work, a model obtained analytically of the OWC chamber is developed and numerically implemented. The model proposed is also validated and affords excellent results.
Aitor J. Garrido; Izaskun Garrido; Erlantz Otaola; Jon Lekube; Fares M'Zoughi; Khaoula Ghefiri; Diclobin G. Mundackamattam; Iñigo J. Oleagordia. Capture chamber modelling and validation in OWC on-shore devices. 2016 IEEE Region 10 Conference (TENCON) 2017, 1682 -1685.
AMA StyleAitor J. Garrido, Izaskun Garrido, Erlantz Otaola, Jon Lekube, Fares M'Zoughi, Khaoula Ghefiri, Diclobin G. Mundackamattam, Iñigo J. Oleagordia. Capture chamber modelling and validation in OWC on-shore devices. 2016 IEEE Region 10 Conference (TENCON). 2017; ():1682-1685.
Chicago/Turabian StyleAitor J. Garrido; Izaskun Garrido; Erlantz Otaola; Jon Lekube; Fares M'Zoughi; Khaoula Ghefiri; Diclobin G. Mundackamattam; Iñigo J. Oleagordia. 2017. "Capture chamber modelling and validation in OWC on-shore devices." 2016 IEEE Region 10 Conference (TENCON) , no. : 1682-1685.
In this paper, an Oscillating Water Column (OWC) device, installed in the breakwater at the harbor of Mutriku on the Basque coast in Spain has been modeled and simulated within Model-In-the-Loop (MIL) and Software-In-the-Loop (SIL) frame-works. The developed OWC model is formed by a Wells turbine and a Doubly Fed Induction Generator (DFIG) for wave energy converting. The established nonlinear model of the OWC device has been simulated in MAT-LAB/Simulink environment within a MIL framework. The SIL emulation of the OWC converter has been investigated using the NI VeriStand tool in order to prepare for its Hardware-In-the-Loop (HIL) implementation based on a NI CompactRIO real-time target. All simulation results, obtained with MATLAB/Simulink and NI VeriStand, are analyzed and compared in order to validate the developed OWC model.
Fares M'zoughi; Soufiene Bouallegue; Mounir Ayadi. Modeling and SIL simulation of an oscillating water column for ocean energy conversion. IREC2015 The Sixth International Renewable Energy Congress 2015, 1 -6.
AMA StyleFares M'zoughi, Soufiene Bouallegue, Mounir Ayadi. Modeling and SIL simulation of an oscillating water column for ocean energy conversion. IREC2015 The Sixth International Renewable Energy Congress. 2015; ():1-6.
Chicago/Turabian StyleFares M'zoughi; Soufiene Bouallegue; Mounir Ayadi. 2015. "Modeling and SIL simulation of an oscillating water column for ocean energy conversion." IREC2015 The Sixth International Renewable Energy Congress , no. : 1-6.