Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid

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 unde...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Wang, Ran (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Wang, Ping (http://id.loc.gov/vocabulary/relators/aut), Xiao, Gaoxi (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Wang, Ran.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid  |h [electronic resource] /  |c by Ran Wang, Ping Wang, Gaoxi Xiao. 
250 |a 1st ed. 2018. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2018. 
300 |a XVIII, 140 p. 40 illus., 37 illus. in color.  |b online resource. 
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520 |a 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. 
650 0 |a Power electronics. 
650 0 |a Renewable energy resources. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 1 4 |a Power Electronics, Electrical Machines and Networks.  |0 http://scigraph.springernature.com/things/product-market-codes/T24070 
650 2 4 |a Renewable and Green Energy.  |0 http://scigraph.springernature.com/things/product-market-codes/111000 
650 2 4 |a Operations Research, Management Science.  |0 http://scigraph.springernature.com/things/product-market-codes/M26024 
700 1 |a Wang, Ping.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Xiao, Gaoxi.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9789811042492 
776 0 8 |i Printed edition:  |z 9789811042515 
776 0 8 |i Printed edition:  |z 9789811350870 
856 4 0 |u https://doi.org/10.1007/978-981-10-4250-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)