Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation: 137 (Studies in Systems, Decision and Control) - Tapa blanda

Ovalle, Andrés; Hably, Ahmad; Bacha, Seddik

 
9783319892382: Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation: 137 (Studies in Systems, Decision and Control)

Sinopsis

Proposes distributed optimization algorithms for the integral load management of electric vehicle fleets and their potential services to the electricity system

Helps to optimally manage EV fleets charge/discharge schedules by applying game theory, and evolutionary game theory techniques

Aims at researchers working in the field of optimal integration of electrical vehicles

Offers useful material for courses about grid modelling, optimization and game theory

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De la contraportada

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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Otras ediciones populares con el mismo título

9783319731766: Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation: 137 (Studies in Systems, Decision and Control)

Edición Destacada

ISBN 10:  3319731769 ISBN 13:  9783319731766
Editorial: Springer, 2018
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