Ce mémoire présente différents outilset approchespour dériver les lois de commande de la machine asynchrone à double alimentation en régime permanent sur toute la plage de vitesse, en mode moteur et générateur. Le but est de dériver les lois de commande de la MADA en termes de tension et angle rotorique (puissance active et réactive) pour différentes stratégies de commande. Le premier outila été évoqué dans un processus d'optimisation non-linéaire. Puis une approche analytique basée sur le circuit équivalent de la MADAa été étudiéedans le but de contourner les problèmes liés au processus d'optimisation non-linéaire. Un autre outil de simulation développé dans l'environnement MATLAB/Simulink a été mis au point afin de valider les résultats.

Les questions de développement durable et de projection des besoins futurs favorisent l'apparition de nouvelles technologies de production d'énergie et entraînent un changement de comportement des usagers. Ce livre contribue à une meilleure appréhension de ces technologies émergentes de production d'électricité. Il analyse leurs enjeux, leurs sources et leurs moyens de conversion électrique. Suivant une approche didactique et générale, cet ouvrage présente : - les systèmes de production d'électricité à partir de ressources énergétiques renouvelables des petites aux moyennes puissances (jusque 100 à 200 MW), - les notions électrotechniques de base nécessaire à la compréhension des caractéristiques de fonctionnement de ces convertisseurs, - les contraintes et problèmes d'intégration dans les réseaux électriques de ces moyens de production.

This book presents new studies in the area of turbomachine mathematical modeling with a focus on models applied to developing engine control and diagnostic systems. The book contains one introductory and four main chapters. The introductory chapter describes the area of modeling of gas and wind turbines and shows the demand for further improvement of the models. The first three main chapters offer particular improvements in gas turbine modeling. First, a novel methodology for the modeling of engine starting is presented. Second, a thorough theoretical comparative analysis is performed for the models of engine internal gas capacities, and practical recommendations are given on model applications, in particular for engine control purposes. Third, multiple algorithms for calculating important unmeasured parameters for engine diagnostics are proposed and compared. It is proven that the best algorithms allow accurate prognosis of engine remaining lifetime.The field of wind turbine modeling is presented in the last main chapter. It introduces a general-purpose model that describes both aerodynamic and electric parts of a wind power plant. Such a detailed physics-based model will help with the development of more accurate control and diagnostic systems.In this way, this book includes four new studies in the area of gas and wind turbine modeling. These studies will be interesting and useful for specialists in turbine engine control and diagnostics.

This volume publishes new trends and findings in hot topics related to ubiquitous computing/networking. It is the outcome of UNet - ainternational scientific event that took place on September 08-10, 2015, in the fascinating city of Casablanca, Morocco. UNet’15 is technically sponsored by IEEE Morocco Section and IEEE COMSOC Morocco Chapter.

Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.

Wind power capacity in the world has been increased by more than 30% over the last decade in countries which have prominent installations. Wind energy conversion systems (WECSs) based on the doubly-fed induction generator (DFIG) have dominated the wind power generation sector due to the outstanding advantages they provide, including small converter ratings (around 30% of the generator rating) and lower converter costs. Due to the non-linearity of wind power systems, the DFIG power control setup presents a big challenge especially under conditions of high variance in wind-speed and parameter sensing. To overcome these major problems, an improved IDPC (Indirect Power Control) system based on PID (Proportional-Integral-Derivative) controller, has been proposed instead of the conventional power inverters. This handbook covers information about IDPC based WECS. The book starts with a general introduction to wind power system basics. Subsequent chapters provide additional knowledge about robustness tests and adaptive / intelligent control systems employed in wind energy systems. The new concept of direct and quadrature current control (Ird & Irq) under MPPT (Maximum Power Point Tracking) strategy is also explained along with novel fuzzy logic type control systems. The authors have included detailed diagrams and an appendix of WECS parameters, making this handbook a useful primer for engineering students working towards completing licenses, Masters degrees and Post-graduation programs in advanced wind power energy systems.