000 03049nam a22005295i 4500
999 _c12820
_d12820
001 978-981-10-4250-8
003 DE-He213
005 20211214155057.0
008 171120s2018 si | s |||| 0|eng d
020 _a9789811042508
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTHR
_2bicssc
072 7 _aTEC046000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.317
_223
100 1 _aWang, Ran.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid
_h[electronic resource] /
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2018.
300 _aXVIII, 140 p. 40 illus., 37 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aThis 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 _aElectrical Engineering
_94623
653 _aPower Electronics, Electrical Machines and Networks.
653 _aRenewable and Green Energy.
653 _aOperations Research, Management Science.
700 1 _aWang, Ping.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aXiao, Gaoxi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811042492
776 0 8 _iPrinted edition:
_z9789811042515
776 0 8 _iPrinted edition:
_z9789811350870
856 4 0 _uhttps://doi.org/10.1007/978-981-10-4250-8
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc