Friday, August 10, 2018
Wind Energy systems CONTROL ENGINEERING DESIGN By Mario Garcia-Sanz and Constantine H. Houpis
Wind Energy systems CONTROL ENGINEERING DESIGN By Mario Garcia-Sanz and Constantine H. Houpis
Contents:
1. Introduction
2. Introduction to QFT
3. MISO Analog QFT Control System
4. Discrete Quantitative Feedback Technique
5. Diagonal MIMO QFT
6. Non-Diagonal MIMO QFT
7. QFT for Distributed Parameter Systems
8. Nonlinear Switching Control Techniques
9. Introduction to Wind Energy Systems
10. Standards and Certification for Wind Turbines
11. Wind Turbine Control Objectives and Strategies
12. Aerodynamics and Mechanical Modeling of Wind Turbines
13. Electrical Modeling of Wind Turbines
14. Advanced Pitch Control System Design
15. Experimental Results with the Direct-Drive Wind Turbine TWT-1.65
Preface:
Harvesting energy on a global, sustainable, and economic scale is one of the major challenges of this century With emerging markets, newly industrializing nations, and shortage of existing resources, this problem will continue to grow Wind energy, in the current scenario, is playing a central role, being the fastest-growing source of energy worldwide in the last few decades However, long-term economic sustainability of wind energy is still to be achieved This would imperatively require improving critical engineering and economic practices to reduce the cost of wind energy as compared to conventional energy to help increase its proliferation Wind turbines are complex systems, with large flexible structures working under very turbulent and unpredictable environmental conditions Moreover, they are subject to a variable and demanding electrical grid Their efficiency, cost, availability, and reliability strongly depend on the applied control strategy As wind energy penetration in the grid increases, additional challenges such as the response to grid voltage dips, active power control and frequency regulation, reactive power control and voltage regulation, grid damping, restoration of grid services after power outages, necessity of wind prediction, etc, crop up.
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