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008 170803s2018 gw | s |||| 0|eng d
020 _a9783319647951
024 7 _a10.1007/978-3-319-64795-1
_2doi
050 _aQ342
_b.A234 2018 EB
040 _aES-MaUEC
_bspa
100 1 _aAbdelaziz Mohamed, Mohamed
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/24877071/
_1http://dbpedia.org/resource/Mohamed_Abdelaziz
245 1 0 _aModeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems
_cby Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXVI, 75 páginas 46 ilustraciones, 41 ilustraciones a color.)
347 _atext file
_bPDF
490 0 _aStudies in Systems, Decision and Control
_x2198-4182
_v121
505 0 _aIntroduction and Literature Review -- Modeling of Hybrid Renewable Energy System -- Sizing and Techno-Economic Analysis of Stand-Alone Hybrid Photovoltaic/Wind/Diesel/Battery Energy Systems -- A Novel Smart Grid Application for Optimal Sizing of Hybrid Renewable Energy Systems -- A PSO-Based Smart Grid Application for Optimum Sizing of Hybrid Renewable Energy Systems -- General Conclusion and Future Work.
520 3 _aThis book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system's design and sizing. It also helps readers understand the dispatch methodology and how to connect the system's different components, their modeling, and the cost analysis of the system.
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aRecursos energéticos renovables
_2embne
_9143912
700 1 _aEltamaly, Ali Mohamed
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iEdición impresa:
_z9783319647944
776 0 8 _iEdición impresa:
_z9783319647968
776 0 8 _iEdición impresa:
_z9783319878744
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-64795-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b12/2018
_dz
_ef
_feng
_ggw
_h0
999 _c102807
_d102807
_x1