Due to the water's characteristics, especially salt water, electromagnetic fields are quickly dissipated and absorbed in underwater environment. Thus, to transfer data in this medium, acoustic signals are mostly used due to their capability to transmit data over a long range. However, at very short range, electromagnetic signals enable high rate wireless data transfer in the underwater medium. The objective of this paper is to investigate underwater contactless data transfer technologies between an Autonomous Underwater Vehicle (AUV) and its docking station. On one hand, we consider 5 GHz Wi-Fi based transmission prototype and provide experimental end-to-end data performance for several transmission range, rotation angles, non-perfect alignment and transmit power. On the other hand we investigate the achievable rate of an experimental Magnetic Induction (MI) prototype performing contactless power and data transfer.

This paper presents the modeling steps of a shrouded tidal stream turbine. The main goal of this modeling is to allow the behavior simulation of the converter in order to anticipate its operation under specific conditions and its later development. The observation time scale of the operation system may extend from tidal period (several hours) to converter switching period (milliseconds to microseconds). An assessment of different modeling methodology, based on instantaneous and average models, is carried out. Instantaneous modeling offers the possibility to observe system electrical dynamics, which are driven by power switches, at the expense of an important computational time. In that respect, an average modeling is considered for greater period-scale analyses. So as to reduce the computational time induced by the power electronic modeling, cosimulations between Simulink and PSIM are also established. Simulation results are furthermore compared with some experimental data of an industrial shrouded tidal stream turbine prototype immersed and tested in real off-grid condition. The results and differences observed are sufficiently relevant to consider these models as references for further development.

As an emerging technology to harness the marine current energy, tidal stream turbine (TST) systems have been developed due to high predictability and energy density in tidal current resources. However, considering that various challenges such as swell disturbances, unknown disturbances, or parameter uncertainties may deteriorate the system performance, it is interesting to investigate alternative control strategies to the conventional proportional-integral (PI) controls. In this paper, the active disturbance rejection control (ADRC) approach is proposed to replace PI controllers in the conventional generator-side control scheme. In this approach, two ADRC schemes (cascaded and second-order ADRC strategies) are respectively applied and compared to achieve MPPT under current velocity and turbine torque disturbances. Performances of the proposed ADRC approaches are compared to PI and sliding mode control strategies. Energy production during swell wave disturbance is also evaluated under these control strategies. The comparisons show that the cascaded ADRC has better performance than the second-order approach. Moreover, the cascaded ADRC is tested under parameter variations to evaluate its robustness. The carried out simulation-based comparative study shows the effectiveness and advantages of the cascaded ADRC strategy over conventional PI controller in terms of fast convergence, overshoots elimination, and improved robustness under disturbances and parameter uncertainties.

Deployment of autonomous underwater vehicle have became a focal point for many industrial application. The main challenge to the autonomous underwater vehicle is the finite mission time during the operation in a harsh environment. The most efficient way to reduce the operational and maintenance costs, and increase the efficiency of the system, the autonomous under water vehicles have to be recharged under water during the operation. This paper proposes an analysis of one side compensation topology and indexes some parameters to be considered when designing an inductive contactless power transfer system for AUV charging.

Despite the rich literature dealing with induction motor faults detection, the automatic decision on the health operating condition has received scarce attention. This paper aims at demonstrating the usefulness of the combination of the Maximum Likelihood (ML) and the detection theory for induction motor faults detection. In particular, it proposes to use stator currents as medium for faults detection. Indeed, under faulty conditions, additional spectral components appear in the stator currents spectrum. This paper proposes to use a constant false alarm rate (CFAR) detector of these components. The objective is to decide between two hypothesis; the motor is healthy or faulty. The generalized likelihood ratio test (GLRT) is used to tackle this binary hypothesis testing problem.Monte Carlo simulations have been performed in order to evaluate the statistical performance of the proposed approach. Then, the proposed algorithm has been evaluated on experimental data for broken rotor bars fault detection.

Flywheel is a promising energy storage system for domestic application, uninterruptible power supply, traction applications, electric vehicle charging stations, and even for smart grids. In fact, recent developments in materials, electrical machines, power electronics, magnetic bearings, and microprocessors offer the possibility to consider flywheels as a competitive option for electric energy storage, which can be of great interest for domestic applications in the near future. In this paper, a grid-tied flywheel-based energy storage system (FESS) for domestic application is investigated with special focus on the associated power electronics control and energy management. In particular, the overall PMSM-based flywheel configuration is reviewed and a controlling strategy was experimentally implemented using DS1104 controller board from dSPACE. Two case studies were considered for power peak shaving and power backup at domestic level. A lab-scale prototype was built to validate the proposal. The achieved results are presented and discussed to demonstrate the possibilities offered by such an energy storage system for domestic application.

Energie eolienne La Revue 3EI n°101 Juillet 2020 Revue 3EI 50 Mise en œuvre experimentale d’une plateforme de conversion d’energie eolienne a base de generatrice asynchrone double alimentation. ELBOUCHIKHI ELHOUSSIN, GILLES FELD, YASSINE AMIRAT, MOHAMED BENBOUZID, FRANCK LE GALL Elhoussin.elbouchikhi@isen-ouest.yncrea.fr 1. Introduction L’humanite utilise l'energie du vent depuis des milliers d'annees, mais la conversion en energie electrique est plus recente. Cette conversion a connu une croissance vertigineuse au cours des trois dernieres decennies en raison de l’augmentation de la demande energetique mondiale, des problemes environnementaux lies a la production des energies fossiles et nucleaires et de la politique des gouvernements encourageant la forte penetration des ressources energetiques renouvelables dans le bouquet energetique national. Par ailleurs, les parcs eoliens atteignent de nos jours les capacites des centrales electriques traditionnelles, ce qui implique la meme reglementation pour le raccordement au reseau national afin de repondre aux normes de connexion des parcs d'eoliens [1]. En particulier, les parcs eoliens s

Flywheel is a promising energy storage system for renewable energy integration to main grid, electric vehicle charging stations, and domestic applications. Indeed, recent developments in flywheels technology offer the possibility to consider it as a competitive option for electric energy storage. In this paper, a flywheel-based domestic energy storage application is proposed for power peak shaving and power backup, which can be of great interest for domestic fast charging station (FCS) for electric vehicle in the near future. The overall PMSM-based flywheel configuration is reviewed and controlling strategy is experimentally implemented. A lab-scale prototype has been built to validate the proposal and a case study has been presented and discussed to demonstrate the possibilities offered by such energy storage system for congestion prevention in distribution grid.

Today, pitch-controlled variable speed wind turbines (WTs) are the most installed Wind Energy Conversion (WEC) systems. They mainly use two types of generators: the permanent magnet synchronous generator (PMSG) and the double-fed induction generator (DFIG). In this paper, the overall configuration of DFIG-based WEC systems is reviewed and its control strategy is experimentally implemented using dSPACE DS1104 controller board. In this context, emphasis is placed on active power transfer management, reactive power compensation, and sinusoidal current injection into the main grid to improve power quality. The built lab-scale prototype allows validating different subsystems operation and demonstrating DFIG-based WEC capabilities. This paper specifically provides a thorough and consistent step-by-step modeling and control design methodology for a DFIG-based WEC simulation and experimentation platform that could be used for education and research addressing the wind energy conversion timely topic. (C) 2020 Elsevier Ltd. All rights reserved.

Due to the characteristics of predictability and high energy density in tidal current resources, tidal stream turbine generation systems have been developed in the last decades around the world. Speed control would be necessary to perform the maximum power point tracking (MPPT) task under varying marine current conditions. Considering that various disturbances or parameter uncertainties may deteriorate the system performance, the active disturbance rejection control (ADRC) strategy seems to be an interesting solution for controller designs. In this paper, an ADRC strategy is applied in the speed control loop for realizing MPPT under disturbances of current velocity and turbine torque. The system performance of the proposed ADRC is compared with PI and high-order sliding mode (HOSM) control strategies. The operation under swell wave disturbance is also carried out. This simulation-based comparative study shows the effectiveness and advantages of the ADRC controller over conventional PI controller in terms of quick convergence, overshoots elimination, and better performance under disturbances.

Emulateur d’une eolienne La Revue 3EI n° 95 Janvier 2019 49 Hors Theme Emulateur d’une hydrolienne YASSINE AMIRAT1 , GILLES FELD1 , ELHOUSSIN ELBOUCHKHI1 , MOHAMED BENBOUZID2 , NICOLAS RUIZ3 . 1. ISEN Yncrea Ouest Brest, UMR CNRS 6027 IRDL, 29200 Brest, France 2. Universite de Brest, UMR CNRS 6027 IRDL, 29238 Brest, France 3. Guinard-Energies Brest, France Yassine.Amirat@isen-ouest.yncrea.fr ; Gilles.feld@isen-ouest.yncrea.fr 1. Introduction Le potentiel mondial hydrolien est estime actuellement a 120 GW. En Europe, un tiers du potentiel des energies des courants marins se situe le long des cotes bretonnes et normandes. C’est pourquoi, ces deux regions sont en pointe pour tout ce qui touche a l’energie l’hydrolienne. Tout naturellement, c’est la que sont nes les premiers projets d’installation d’hydrolienne, Sabella sur le site du Fromveur, et Open Hydro – Naval Group sur le site de Paimpol Brehat. Une caracteristique commune a ces premiers tests est la taille des demonstrateurs, respectivement avec des diametres de turbine de 10 m et 16 m, avec comme consequence un cout tres important pour toutes les operations maritimes. Comme tous les pro

This paper proposes a new approach for the detection of stator faults in inverter-fed induction motor under closed-loop control. These faults, generally, start with interturn short circuit and can evolve to phase-to-phase or phase-to-ground faults, leading to stator currents unbalance. In the considered application, the stator windings are supplied by a static converter for the control of the speed and the rotor flux of the motor. The unbalance fault has been artificially created through additional resistance in series with one phase of the stator windings. The proposed diagnosis approach is based on the computation of the symmetrical components of the stator currents. The supply fundamental frequency and the three-phase phasors are estimated based on the maximum likelihood estimator. Then, the generalized likelihood ratio test is applied for unbalance fault detection. Simulation and experimental results on a 1.5-kW induction motor illustrate the effectiveness of the proposed approach, leading to an effective diagnosis procedure for stator faults in inverter-fed induction motor under steady state and closed-loop operation.

This work presents a variational mode decomposition (VMD) based detector for bearing fault in electrical machines. Its performance is compared to that of the ensemble empirical mode decomposition (EEMD) based. A notch filter based Pearson correlation was developed and used to extract the dominant mode. Experimental results showed that the VMD outperformed in terms of statistical features. As a result, the VMD-based notch filter could be a promising methodology for bearing fault detection and degradation prediction.

This paper deals with the resilient control of a permanent magnet synchronous generator-based tidal turbine subjected to magnet failures. In this context, a magnetic equivalent circuit method is used to model the synchronous generator magnet failures. A fault-resilient controller is therefore derived for magnet failure resilience purposes. In fact, high-order sliding modes have been adopted to address the robustness problems faced by conventional techniques such as PI controllers. The proposed fault-resilient controller is evaluated and tested based on extensive simulations using real tidal velocities of the Raz de Sein site in Bretagne, France.

This paper presents a review of the stream current power sector, with a distinction made between the marine (MCP) and the river/estuary current power (RECP). Although scientific literature about MCP is actually well defined, that about RECP seems small, though this domain has some research interest. This paper has thus a special emphasis on this latter, with comparative studies done between these domains. The assessment of the academic and industrial interests for the RECP is first addressed, based on two main scientific resources and a qualitative highlight of its potential. Then, a review of actual constraints restricting its development is introduced, followed by a non-exhaustive presentation of industrial projects. Finally, some development prospects allowing constraints to be mitigated are proposed. Globally, MCP and RECP are treated unconcernedly, with a primary interest on the mechanical converter study and the location energy potential estimation. It has been highlighted that countries with RECP potential are more plentiful, and that undertaken projects can be classified mainly into two categories following the nominal power of the production unit. Furthermore, the river current power growth has been confirmed in recent years, with a majority part of patented hydrokinetic technologies, although commercial deployments are still scarce.

Surete de fonctionnement et diagnostic La Revue 3EI n°91 Janvier 2018 43 Hors Theme Diagnostic et detection des defauts dans les machines asynchrones par des methodes avancees de traitement du signal ELBOUCHIKHI ELHOUSSIN*, YASSINE AMIRAT*, GILLES FELD*, FRANCK LE GALL*, MOHAMED BENBOUZID** * ISEN YNCREA OUEST, IRDL FRE CNRS 3744, 20, Rue Cuirasse Bretagne, 29200, Brest ** Universite de Brest, IRDL FRE CNRS 3744, 29238 Brest Cedex 03 Elhoussin.elbouchikhi@isen-ouest.yncrea.fr, yassine.amirat@isen-ouest.yncrea.fr, gilles.feld@isen-ouest.yncrea.fr, franck.le-gall@isen-ouest.yncrea.fr, Mohamed.Benbouzid@univ-brest.fr 1. Introduction La machine asynchrone est l’une des machines les plus utilisees dans l’industrie, grâce a sa robustesse, sa fiabilite et son faible cout. Malheureusement, ces machines sont impactes par des defaillances diverses qui peuvent conduire a l’arret de la production et causer des dommages aux equipements et humains aux alentours. Par consequent, la surveillance et le diagnostic de ces machines deviennent primordiaux afin de diminuer les couts de maintenance et d’exploitation, augmenter la securite et la disponibilite des equipeme

•A low complexity fault detector based on the EEMD.•A fault detector based on dominant IMF extraction.•Use of Pearson correlation for the closest IMF cancellation.

This paper provides a comparative evaluation of phasor estimation signal processing tools, namely the least square estimator and the linear Kalman filter. Comparative investigations are carried out using simulated signals for a power grid voltage sag disturbance. For both techniques, the fundamental frequency is assumed known, hence the estimated phasor parameters are amplitude and initial phase. Simulation results are provided to highlight each technique suitability and limitations to estimate the phasor for power quality monitoring.