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Full Description
This book examines and develops digital control techniques for wind power systems and their integration into the grid, with the goal of addressing issues related to the efficiency and quality of energy injected into the electrical network. It provides a comprehensive examination of digital control technologies for wind energy systems, covering a range of configurations, including existing ones (DFIG, PMSG, IM, etc.) as well as new ones (VIENNA, Quadri-rotor, etc.). The book discusses various control strategies such as Backstepping, Sliding Mode, and Predictive Control, and explores their development through Artificial Intelligence (AI) and the Internet of Things (IoT). These strategies underpin the control systems used in speed variators (e.g., Siemens, ABB) that are highly robust for alternating current machines.
Addresses the challenges of designing and implementing advanced wind turbine control techniques to convert kinetic energy into electrical energy
Studies Artificial Intelligence control techniques for wind systems
Discusses adaptive control, new configuration, backward control of wind systems, algorithms to optimize control systems of wind systems
Focusses on new control techniques and their implementation on electronic platforms (such as dSPACE, FPGA, STM, etc.).
The book is for students, researchers and professionals working on Digital Technologies for Wind Turbine Control and Integration
Contents
1. The Digital Turbine: Embracing New Skills for a Sustainable Tomorrow on Winds for Change 2. Artificial Intelligence based Control Strategies for Optimizing Wind Energy Systems 3. From Energy to Economy: An Empirical Study on the Effects of Renewables on Morocco's Economic Development 4. Contribution to Advanced Control Strategies For a DFIG based Wind Turbine 5. Performance Enhancement of Direct power Control of wind energy conversion system (WECS) based on a Doubly Fed Induction Generator 6. Optimizing Wind Energy Integration into the Power Grid: Challenges and Solutions 7. Nonlinear Backstepping Control Strategy for Direct-drive Wind Turbine based on Permanent Magnet Synchronous Generator 8. Hybrid Optimization for Reconfigurable Manufacturing Systems: Combining Genetic Algorithms and Supervised Learning for Enhanced Efficiency 9. Modeling and Sliding Mode Control of DFIG-based Wind Turbines 10. Permanent magnet synchronous generator's integrated optimal design in a large-scale wind turbine 11. Particle Swarm Optimization Approach for Maximum Power Point Tracking of a Grid Connected Wind Turbine Generator 12. Influence of the integration wind energy on network stability
