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Titre : | Model predictive control of wind energy conversion systems |
Titre original: | Modèle de contrôle prédictif des systèmes de conversion de l’énergie éolienne |
Auteurs : | Venkata Yaramasu, Auteur ; Bin Wu, Auteur |
Type de document : | texte imprimé |
Editeur : | Hoboken, NJ : IEEE Press, 2017 |
Autre Editeur : | Wiley |
Collection : | IEEE Press Series on Power Engineering |
ISBN/ISSN/EAN : | 978-1-118-98858-9 |
Format : | 1 vol. (xxxvi-512 p.) / ill., couv. ill. en coul / 26 cm |
Langues: | Anglais |
Langues originales: | Anglais |
Index. décimale : | 621.312 136 (Production d'énergie éolienne) |
Catégories : | |
Mots-clés: | Wind energy conversion systems ; Commande automatique |
Résumé : |
Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems.
The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book: Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission. Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses. |
Note de contenu : |
Sommaire :
PART I : PRELIMINARIES Chapitre 1: Basics of Wind Energy Conversion Systems (WECS) Chapitre 2: Review of Generator–Converter Configurations for WECS Chapitre 3: Overview of Digital Control Techniques Chapitre 4: Fundamentals of Model Predictive Control PART II : MODELING OF POWER CONVERTERS AND WIND GENERATORS Chapitre 5: Modeling of Power Converters for Model Predictive Control Chapitre 6: Modeling of Wind Generators for Model Predictive Control Chapitre 7: Mapping of Continuous-Time Models to Discrete-Time Models PART III : CONTROL OF VARIABLE-SPEED WECS Chapitre 8: Control of Grid-side Converters in WECS Chapitre 9: Control of PMSG WECS with Back-to-Back Connected Converters Chapitre 10: Control of PMSG WECS with Passive Generator-side Converters Chapitre 11: Control of SCIG WECS with Voltage Source Converters Chapitre 12: Control of DFIG WECS with Voltage Source Converters |
Exemplaires (2)
Cote | Support | Localisation | Section | Disponibilité |
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F8/11940 | Livre+Format PDF | Bibliothèque de la Faculté de Technologie | Section documentaire | Sorti jusqu'au 29/02/2024 |
F8/12534 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |