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You searched for subject:(Wind Turbine Emulator). Showing records 1 – 2 of 2 total matches.

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University of Houston

1. Janakiraman, Shyam. AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM.

Degree: MSin Electrical Engineering, Electrical Engineering, 2014, University of Houston

This thesis presents a novel mechanical sensorless adaptive control algorithm for Maximum Power Point Tracking (MPPT) in Wind Energy Conversion Systems (WECS). The proposed control algorithm allows the generator to track the optimal operation points of the wind turbine system under fluctuating wind conditions using an efficient two-step process. This algorithm does not require the knowledge of turbine mechanical characteristics such as its power coefficient curve, power or torque characteristic. The proposed control algorithm is simulated in PSCAD/EMTDC. This thesis also aims at designing a scaled laboratory prototype that is necessary to replicate the characteristics of a wind turbine for any wind speed in a controlled test environment without depending on natural wind resources and actual wind turbine. The Wind Turbine Test Bench System (WTTBS) uses an induction motor as a prime mover to replicate the behavior of a wind turbine shaft. The brain of WTTBS is a Digital Signal Processor (DSP) based algorithm which controls the motor. The simulations for the test bench system were carried out in MATLAB/SIMULINK and PSCAD/EMTDC. Test bench system is prototyped using a TI TMS320F28069M. Advisors/Committee Members: Shireen, Wajiha (advisor), Charlson, Earl J. (committee member), Provence, Robert S. (committee member).

Subjects/Keywords: MPPT; Wind Turbine Emulator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Janakiraman, S. (2014). AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1398

Chicago Manual of Style (16th Edition):

Janakiraman, Shyam. “AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM.” 2014. Masters Thesis, University of Houston. Accessed January 26, 2021. http://hdl.handle.net/10657/1398.

MLA Handbook (7th Edition):

Janakiraman, Shyam. “AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM.” 2014. Web. 26 Jan 2021.

Vancouver:

Janakiraman S. AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10657/1398.

Council of Science Editors:

Janakiraman S. AN ADAPTIVE SENSORLESS CONTROL FOR MAXIMUM POWER POINT TRACKING IN WIND ENERGY CONVERSION SYSTEM. [Masters Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1398

2. Tekobon, Jerry. Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system.

Degree: Docteur es, Génie électrique, 2016, Le Havre

Les travaux de thèse concernent le développement d’une plateforme d’émulation temps réel destinée aux études théoriques et expérimentales des systèmes hybrides éolien- hydrolien. Diverses architectures de couplages énergétiques sont traitées sur la base des similitudes fonctionnelles des deux systèmes et par des concepts d’émulation à la fois numériques et expérimentaux. La notion de simulation en temps « accéléré » a été développée. Le concept a été validé sur la plateforme expérimentale en utilisant l’évolution de la puissance moyenne délivrée par une turbine éolienne de petite puissance. Cette approche pourra permettre de réduire les temps d’observation des campagnes de mesure, d’accélérer les études sur le potentiel éolien des sites en développement. Nous avons développé également deux types de couplage du système hybride éolien-hydolien. Un couplage électrique basé sur la connexion en parallèle sur un bus continu des deux turbines. Nous avons développé un concept innovant d’un couplage électromécanique basé sur l’utilisation d’une seule génératrice asynchrone sur laquelle sont simultanément couplés les arbres de la turbine éolienne et de la turbine hydrolienne. Pour cela, un servomoteur à commande vectorielle nous a servi à émuler la turbine éolienne pendant qu’un moteur synchrone nous a servi d'émulateur de turbine hydrolienne. L’arbre de la génératrice sert de couplage mécanique entre les deux systèmes. Nous avons mis en évidence dans les expérimentations effectuées, la complémentarité des productions électriques des deux systèmes, et également le besoin de leur adjoindre un système de stockage pour palier à une baisse simultanée de deux productions d’énergie.

The thesis work concerns the development of a real-time emulation platform for theoretical and experimental studies of offshore wind and tidal power hybrid systems. Various energy coupling architectures are processed on the basis of the functional similarities of two systems and by both numerical and experimental emulation concepts. The notion of accelerated time used for real time simulation has been developed. The concept was validated on the experimental platform using the evolution of the mean power delivered by a small wind turbine. This approach can reduce the observation times of the measurement campaigns and could accelerate the studies for the wind potential of developing sites. We have also developed two types of coupling of the wind-tidal hybrid system. An electrical coupling based on the connection in parallel on a continuous bus of two turbines. We have developed an innovative concept of an electromechanical coupling based on the use of a single asynchronous generator on which the wind turbine and tidal turbine are simultaneously coupled. For this purpose, a vector-controlled servomotor was used to emulate the wind turbine while a synchronous motor was used as a tidal turbine emulator. The generator shaft is used as a mechanical coupling between the two systems. We have demonstrated in the experiments that we have developed the…

Advisors/Committee Members: Nichita, Cristian (thesis director).

Subjects/Keywords: Emulateur; Wind turbine; Tidal turbine; Hybrid system; Real time simulation; Emulator; Modelling; Offshore

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tekobon, J. (2016). Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system. (Doctoral Dissertation). Le Havre. Retrieved from http://www.theses.fr/2016LEHA0031

Chicago Manual of Style (16th Edition):

Tekobon, Jerry. “Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system.” 2016. Doctoral Dissertation, Le Havre. Accessed January 26, 2021. http://www.theses.fr/2016LEHA0031.

MLA Handbook (7th Edition):

Tekobon, Jerry. “Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system.” 2016. Web. 26 Jan 2021.

Vancouver:

Tekobon J. Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system. [Internet] [Doctoral dissertation]. Le Havre; 2016. [cited 2021 Jan 26]. Available from: http://www.theses.fr/2016LEHA0031.

Council of Science Editors:

Tekobon J. Système multi physique de simulation pour l'étude de la production de l'énergie basée sur le couplage éolien offshore-hydrolien : Multi-physical system of simulation for the study of energy production based on offshore wind and tidal power hybrid system. [Doctoral Dissertation]. Le Havre; 2016. Available from: http://www.theses.fr/2016LEHA0031

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