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Record Nr. |
UNINA9910299570803321 |
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Autore |
Wang Ran |
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Titolo |
Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid / / by Ran Wang, Ping Wang, Gaoxi Xiao |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XVIII, 140 p. 40 illus., 37 illus. in color.) |
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Disciplina |
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Soggetti |
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Power electronics |
Renewable energy resources |
Operations research |
Management science |
Power Electronics, Electrical Machines and Networks |
Renewable and Green Energy |
Operations Research, Management Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Sommario/riassunto |
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This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids. |
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