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008			220414s2022 sz | s |||| 0|eng d
020			_a9783030987374
024	7		_a10.1007/978-3-030-98737-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ808 _b2022 EB
100	1		_aLabbadi, Moussa _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684596
245	1	0	_aModeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems : _bAn Optimal Integration Of Renewable Energy Resources Into Grid _cby Moussa Labbadi, Kamal Elyaalaoui, Loubna Bousselamti, Mohammed Ouassaid, Mohamed Cherkaoui
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXXII, 225 páginas) _b121 ilustraciones, 111 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v434
505	0		_aIntelligent control on wind farm -- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants -- Appendix.
520			_aThis book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.
988			_aSpringer_Robotics_2022
650		7	_2embne _9143912 _aRecursos energéticos renovables
650		7	_2embne _9405125 _aControl automático
700	1		_aElyaalaoui, Kamal _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684597
700	1		_aBousselamti, Loubna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aOuassaid, Mohammed _eautor _0(orcid)0000-0002-1603-450X _1https://orcid.org/0000-0002-1603-450X _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684598
700	1		_aCherkaoui, Mohamed _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684599 _c(Engineering teacher)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030987367
776	0	8	_iPrinted edition: _z9783030987381
776	0	8	_iPrinted edition: _z9783030987398
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98737-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _esc _zSI