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001			291663
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008			150903s2008 xxk| o |||| 0|eng d
020			_a9781848000803 _99781848000803
024	7		_a10.1007/9781848000803 _2doi
035			_avtls000344153
039		9	_a201509030353 _bVLOAD _c201405050303 _dVLOAD _y201402061249 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aMunteanu, Iulian. _eautor _9315013
245	1	0	_aOptimal Control of Wind Energy Systems : _bTowards a Global Approach / _cby Iulian Munteanu, Nicolaos-Antonio Cutululis, Antoneta Iuliana Bratcu, Emil Ceang?.
264		1	_aLondon : _bSpringer London, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvances in Industrial Control, _x1430-9491
500			_aSpringer eBooks
505	0		_aWind 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.
520			_aOwing 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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aCutululis, Nicolaos-Antonio. _eautor _9323068
700	1		_aBratcu, Antoneta Iuliana. _eautor _9315014
700	1		_aCeang?, Emil. _eautor _9323069
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781848000797
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-080-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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