Optimal Control of Wind Energy Systems
Towards a Global Approach
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Beschreibung
Owing to the stochastic nature of their primary energy source, workable performance of wind energy conversion systems cannot be achieved without the contribution of automatic control.
Optimal Control of Wind Energy Systems presents a thoroughgoing review of the main control issues in wind power generation, offering a unified picture of the issues in optimal control of wind power generation. A series of optimal control techniques are analyzed, assessed and compared, starting with the classical ones, like PI control, maximum power point strategies and gain-scheduling techniques, and continuing with some modern ones: sliding-mode techniques, feedback linearization control and robust control. Discussion is focused on a global dynamic optimization approach to wind power systems using a set of optimization criteria which comply with a comprehensive group of requirements including: energy conversion efficiency; mechanical reliability; and quality of the energy provided.
The main results are presented along with illustration by case studies and MATLAB®/Simulink® simulation assessment. The corresponding programmes and block diagrams can be downloaded from the book’s page at springer.com. For some of the case studies presented, real-time simulation results are also available, illustrative examples which will be useful in easing technology transfer in control engineering associated with wind power systems.
Control engineers, researchers and graduate students interested in learning and applying systematic optimization procedures to wind power systems will find this a most useful guide to the field.
Optimal Control of Wind Energy Systems is a thorough review of the main control issues in wind power generation, covering many industrial application problems. A series of control techniques are analyzed and compared, starting with the classical ones, like PI control and gain-scheduling techniques, and continuing with some modern ones: sliding mode techniques, feedback linearization control and robust control. Discussion is directed at identifying the benefits of a global dynamic optimization approach to wind power systems. The main results are presented and illustrated by case studies and MATLAB®/Simulink® simulation. The corresponding programmes and block diagrams can be downloaded from the book’s page at springer.com. For some of the case studies presented, real-time simulation results are available. Control engineers, researchers and graduate students interested in learning and applying systematic optimization procedures to wind power systems will find this a most useful guide to the field.
Links the practical requirements of industrial wind-based power generation with the latest advanced control algorithms Helps to make wind power generation feasible, reducing greenhouse gas emissions Compares various methods of optimal control so that readers can make informed choices about which is best for their systems Proposes an holistic approach tying control design to energetic efficiency, energy conditioning and quality, and mechanical reliability Includes supplementary material: sn.pub/extras
Autor*in
Iulian Munteanu
Themen in »Optimal Control of Wind Energy Systems«
Control Control Applications Energy Efficiency Optimal Control Optimization Turbine Wind Wind Energy Wind Power Wind Turbines control engineering development industrial pollution prevention climate change
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From the reviews:
“The book under review provides technical background on wind turbines specifically tailored for the controls engineer, and thus the target audience for this text is members of the control research community who are interested in wind energy applications. … an excellent reference for researchers in the field pursuing one of the methodologies covered in the text. … the book demonstrates a few advanced control approaches with enough detail for the interested reader to embark on research using the methods presented in the book.” (Jason H. Laks and Lucy Y. Pao, IEEE Control Systems Magazine, Vol. 29, June, 2009)()