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Optimal Control of Wind Energy Systems

Towards a Global Approach

  • Iulian Munteanu
  • Nicolaos-Antonio Cutululis
  • Antoneta Iuliana Bratcu
  • Emil CeangĂ

Part of the Advances in Industrial Control book series (AIC)

About this book

Introduction

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.

Keywords

Control Control Applications Energy Efficiency Optimal Control Optimization Turbine Wind Wind Energy Wind Power Wind Turbines control engineering development

Authors and affiliations

  • Iulian Munteanu
    • 1
  • Nicolaos-Antonio Cutululis
    • 2
  • Antoneta Iuliana Bratcu
    • 3
  • Emil CeangĂ
    • 3
  1. 1.Faculty of Electrical Engineering and Electronics Department of Electronics and Telecommunications“DunĂrea de Jos” University of GalaţiGalaţiRomania
  2. 2.Wind Energy Department Risø National LaboratoryTechnical University of Denmark (DTU)RoskildeDenmark
  3. 3.Faculty of Electrical Engineering and Electronics Department of Electrical Energy Conversion Systems“DunĂrea de Jos” University of GalaţiGalaţiRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-080-3
  • Copyright Information Springer-Verlag London Limited 2008
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84800-079-7
  • Online ISBN 978-1-84800-080-3
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site