000777522 000__ 03255cam\a2200529Ii\4500 000777522 001__ 777522 000777522 005__ 20230306142720.0 000777522 006__ m\\\\\o\\d\\\\\\\\ 000777522 007__ cr\nn\nnnunnun 000777522 008__ 161018t20172017sz\a\\\\ob\\\\000\0\eng\d 000777522 019__ $$a960901550$$a962018309$$a964293343$$a964568450$$a965422815$$a966146452$$a974650532 000777522 020__ $$a9783319458625$$q(electronic book) 000777522 020__ $$a3319458620$$q(electronic book) 000777522 020__ $$z9783319458618 000777522 020__ $$z3319458612 000777522 0247_ $$a10.1007/978-3-319-45862-5$$2doi 000777522 035__ $$aSP(OCoLC)ocn960870493 000777522 035__ $$aSP(OCoLC)960870493$$z(OCoLC)960901550$$z(OCoLC)962018309$$z(OCoLC)964293343$$z(OCoLC)964568450$$z(OCoLC)965422815$$z(OCoLC)966146452$$z(OCoLC)974650532 000777522 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dIDEBK$$dEBLCP$$dGW5XE$$dN$T$$dYDX$$dOCLCF$$dIDB$$dUAB$$dWAU$$dCOO$$dAZU$$dUPM$$dIOG 000777522 049__ $$aISEA 000777522 050_4 $$aTL220 000777522 08204 $$a629.22/93$$223 000777522 1001_ $$aTang, Wanrong,$$eauthor. 000777522 24510 $$aOptimal charging control of electric vehicles in smart grids /$$cWanrong Tang, Ying Jun (Angela) Zhang. 000777522 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2017] 000777522 264_4 $$c©2017 000777522 300__ $$a1 online resource (xi, 106 pages) :$$billustrations. 000777522 336__ $$atext$$btxt$$2rdacontent 000777522 337__ $$acomputer$$bc$$2rdamedia 000777522 338__ $$aonline resource$$bcr$$2rdacarrier 000777522 347__ $$atext file$$bPDF$$2rda 000777522 4901_ $$aSpringerBriefs in electrical and computer engineering,$$x2191-8120 000777522 504__ $$aIncludes bibliographical references. 000777522 5050_ $$aIntroduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work. 000777522 506__ $$aAccess limited to authorized users. 000777522 520__ $$a"This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems"--Provided by publisher. 000777522 588__ $$aDescription based on print version record. 000777522 650_0 $$aElectric vehicles$$xBatteries. 000777522 650_0 $$aBattery charging stations (Electric vehicles) 000777522 650_0 $$aSmart power grids. 000777522 7001_ $$aZhang, Ying Jun,$$eauthor. 000777522 77608 $$iPrint version:$$aTang, Wanrong.$$tOptimal charging control of electric vehicles in smart grids.$$bSpringer, [2017]$$z3319458612$$w(OCoLC)954535767 000777522 830_0 $$aSpringerBriefs in electrical and computer engineering. 000777522 852__ $$bebk 000777522 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-45862-5$$zOnline Access$$91397441.1 000777522 909CO $$ooai:library.usi.edu:777522$$pGLOBAL_SET 000777522 980__ $$aEBOOK 000777522 980__ $$aBIB 000777522 982__ $$aEbook 000777522 983__ $$aOnline 000777522 994__ $$a92$$bISE