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Grid optimal integration of electric...

Bacha, Seddik.

Grid optimal integration of electric vehiclesexamples with Matlab implementation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Grid optimal integration of electric vehiclesby Andres Ovalle, Ahmad Hably, Seddik Bacha.
Reminder of title:	examples with Matlab implementation /
Author:	Ovalle, Andres.
other author:	Hably, Ahmad.
Published:	Cham :Springer International Publishing :2018.
Description:	xv, 219 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimizationComputer programs.
Online resource:	http://dx.doi.org/10.1007/978-3-319-73177-3
ISBN:	9783319731773$q(electronic bk.)

Grid optimal integration of electric vehiclesexamples with Matlab implementation /
Ovalle, Andres.

Grid optimal integration of electric vehiclesexamples with Matlab implementation /[electronic resource] :by Andres Ovalle, Ahmad Hably, Seddik Bacha. - Cham :Springer International Publishing :2018. - xv, 219 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1372198-4182 ;. - Studies in systems, decision and control ;v.3..

Introduction -- Centralized Approach -- Dynamic Programming and Potential Game Approach -- Evolutionary Game Theory Approach Part I: Mixed Strategist Dynamics -- Evolutionary Game Theory Approach Part II: Escort Dynamics.

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.

ISBN: 9783319731773$q(electronic bk.)

Standard No.: 10.1007/978-3-319-73177-3doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

522603
Mathematical optimization
--Computer programs.

LC Class. No.: QA402.5

Dewey Class. No.: 519.7

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520 $a 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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