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001			978-981-13-7652-8
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008			190412s2020 si | s |||| 0|eng d
020			_a9789811376528 _9978-981-13-7652-8
024	7		_a10.1007/978-981-13-7652-8 _2doi
050		4	_aTK1001-1841
072		7	_aTHR _2bicssc
072		7	_aTEC046000 _2bisacsh
072		7	_aTHR _2thema
082	0	4	_a621.31 _223
100	1		_aMa, Zhongjing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _944526
245	1	0	_aDecentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems _h[electronic resource] / _cby Zhongjing Ma.
250			_a1st ed. 2020.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020.
300			_aXXI, 238 p. 89 illus., 1 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Charging coordination via non-cooperative games -- Decentralized Charging coordination with battery degradation cost -- Charging coordination in capacity-constrained distribution networks -- Charging coordination based on auction games -- V2G coordination method via auction games.
520			_aThis book focuses on the design of decentralized optimization methods applied to charging strategies for large-scale PEVs in electrical power systems. It studies several classes of charging coordination problems in large-scale PEVs by considering the distinct characteristics of PEV populations and electrical power systems, and subsequently designs decentralized methods based on distinct optimization schemes – such as non-cooperative games, mean-field games, and auction games – to achieve optimal/nearly optimal charging strategies. In closing, several performance aspects of the proposed algorithms, such as their convergence, computational complexity and optimality etc., are rigorously verified and demonstrated in numerical simulations. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of optimization, game theory, auction games, electrical power systems, etc., and help them design decentralized methods to implement optimal charging strategies in large-scale PEVs.
650		0	_aElectric power production. _927574
650		0	_aControl engineering. _931970
650		0	_aAutomotive engineering. _944527
650		0	_aGame theory. _96996
650	1	4	_aElectrical Power Engineering. _931821
650	2	4	_aControl and Systems Theory. _931972
650	2	4	_aAutomotive Engineering. _944528
650	2	4	_aGame Theory. _96996
710	2		_aSpringerLink (Online service) _944529
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811376511
776	0	8	_iPrinted edition: _z9789811376535
776	0	8	_iPrinted edition: _z9789811376542
856	4	0	_uhttps://doi.org/10.1007/978-981-13-7652-8
912			_aZDB-2-ENG
912			_aZDB-2-SXE
942			_cEBK
999			_c77516 _d77516