Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation

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90,94 

Studies in Systems, Decision and Control 137

ISBN: 331989238X
ISBN 13: 9783319892382
Autor: Ovalle, Andrés/Hably, Ahmad/Bacha, Seddik
Verlag: Springer Verlag GmbH
Umfang: xv, 219 S., 2 s/w Illustr., 88 farbige Illustr., 219 p. 90 illus., 88 illus. in color.
Erscheinungsdatum: 04.06.2019
Auflage: 1/2018
Produktform: Kartoniert
Einband: KT

This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets‘ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.

Artikelnummer: 6255439 Kategorie:

Beschreibung

This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets' charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner's requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.

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