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04190nam a22006495i 4500 |
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978-1-84800-080-3 |
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DE-He213 |
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20151204154611.0 |
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cr nn 008mamaa |
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100301s2008 xxk| s |||| 0|eng d |
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|a 9781848000803
|9 978-1-84800-080-3
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|a 10.1007/978-1-84800-080-3
|2 doi
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|a 621.317
|2 23
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|a Munteanu, Iulian.
|e author.
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|a Optimal Control of Wind Energy Systems
|h [electronic resource] :
|b Towards a Global Approach /
|c by Iulian Munteanu, Nicolaos-Antonio Cutululis, Antoneta Iuliana Bratcu, Emil CeangĂ.
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| 264 |
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|a London :
|b Springer London,
|c 2008.
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|a XXII, 286 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
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|a Advances in Industrial Control,
|x 1430-9491
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|a Wind Energy -- Wind Energy Conversion Systems -- WECS Modelling -- Basics of the Wind Turbine Control Systems -- Design Methods for WECS Optimal Control with Energy Efficiency Criterion -- WECS Optimal Control with Mixed Criteria -- Development Systems for Experimental Investigation of WECS Control Structures -- General Conclusion.
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|a 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.
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|a Engineering.
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|a Renewable energy resources.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Power electronics.
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|a Renewable energy sources.
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|a Alternate energy sources.
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|a Green energy industries.
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|a Climate change.
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|a Pollution prevention.
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|a Engineering.
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|a Power Electronics, Electrical Machines and Networks.
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|a Control, Robotics, Mechatronics.
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|a Renewable and Green Energy.
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|a Renewable and Green Energy.
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|a Industrial Pollution Prevention.
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|a Climate Change.
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|a Cutululis, Nicolaos-Antonio.
|e author.
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|a Bratcu, Antoneta Iuliana.
|e author.
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| 700 |
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|a CeangĂ, Emil.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9781848000797
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| 830 |
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|a Advances in Industrial Control,
|x 1430-9491
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|u http://dx.doi.org/10.1007/978-1-84800-080-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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