Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Decentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems - Zhongjing Ma

Decentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems (eBook)

(Autor)

eBook Download: PDF
2019 | 1st ed. 2020
XXI, 238 Seiten
Springer Singapore (Verlag)
978-981-13-7652-8 (ISBN)
Systemvoraussetzungen
96,29 inkl. MwSt
(CHF 93,95)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
This 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.


Zhongjing Ma received the B.Eng. degree in the field of Automatic Control from Nankai University, Tianjin, China, in 1997, the M. Eng. and Ph.D. degrees from McGill University, Montreal, QC, Canada, in 2005 and 2009, respectively, advised by Prof. Peter Caines and Prof. Roland Malhame. After a period of time, from Jan. 2009 to Sept. 2010, as a postdoctoral research fellow with Prof. Duncan Callaway and Prof. Ian Hiskens, at the University of Michigan, Ann Arbor, he joined the school of Automation at the university of Beijing Institute of Technology, Beijing, China, in Sept. 2010, as an associate professor. He is currently Director of Institute of Electrical Engineering. He is an IEEE senior member.
His research interests lie in the areas of optimal control, optimization, auction mechanism design, game theory, decentralized optimization of large-scale systems, and their applications in the electrical power systems. He has published more than 40 technical articles in IEEE Trans. on Automatic Control, Automatica, IEEE Trans. on Control Systems Technology, IEEE Trans. on Systems, Man, and Cybernetics: Systems, International Journal of Control, International Journal of Systems Science, and IEEE CDC etc.
His article collaborated with Duncan Callaway and Ian Hiskens, 'Decentralized charging control of large populations of plug-in electric vehicles' published in IEEE Trans. on Control Systems and Technology, is one of the most cited works in the topic of the PEV charging coordination, and has been cited nearly 400 times.
He has joined the editorial board of the journal of 'Nonlinear Analysis: Hybrid Systems' of the Elsevier press on February 2018 and has served as an Associate Editor since then. He also has been the reviewers of many renowned journals in the fields of systems and control, optimization, electrical power systems, power electronics etc., such as SIAM Journal on Control and Optimization, IEEE Trans. on Automatic Control, Automatica, Systems and Control Letter, IEEE Trans. on ControlSystems Technology, IEEE Trans. on Smart Grid, IEEE Trans. on Power Systems, IEEE Trans. on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Trans. on Control of Network Systems, IEEE Trans. on Automation Science and Engineering, IEEE Trans. on Circuits and Systems I, etc.

This 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.
Erscheint lt. Verlag 13.4.2019
Zusatzinfo XXI, 238 p. 89 illus., 1 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Naturwissenschaften
Technik Elektrotechnik / Energietechnik
Technik Fahrzeugbau / Schiffbau
Schlagworte Auction games • Charging Coordination • Decentralized algorithm • Distribution network systems • Electric Vehicles • Incentive Compatibility • large-scale systems • mean-field games • Nash Equilibrium • Non-cooperative Games • Vehicle-to-grid
ISBN-10 981-13-7652-2 / 9811376522
ISBN-13 978-981-13-7652-8 / 9789811376528
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 7,9 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Discover tactics to decrease churn and expand revenue

von Jeff Mar; Peter Armaly

eBook Download (2024)
Packt Publishing (Verlag)
CHF 24,60