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Plug In Electric Vehicles in Smart Grids

Overview of attention for book
Cover of 'Plug In Electric Vehicles in Smart Grids'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Plug-in Electric Vehicles Technologies
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    Chapter 2 Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing
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    Chapter 3 Plug-in Electric Vehicles Management in Smart Distribution Systems
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    Chapter 4 An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid
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    Chapter 5 Plug In Electric Vehicles in Smart Grids
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    Chapter 6 Integration of Distribution Grid Constraints in an Event-Driven Control Strategy for Plug-in Electric Vehicles in a Multi-Aggregator Setting
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    Chapter 7 Distributed Load Management Using Additive Increase Multiplicative Decrease Based Techniques
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    Chapter 8 Towards a Business Case for Vehicle-to-Grid—Maximizing Profits in Ancillary Service Markets
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    Chapter 9 Integration of PEVs into Power Markets: A Bidding Strategy for a Fleet Aggregator
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    Chapter 10 Optimal Control of Plug-in Vehicles Fleets in Microgrids
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    Chapter 11 Energy Management in Microgrids with Plug-in Electric Vehicles, Distributed Energy Resources and Smart Home Appliances
Attention for Chapter 3: Plug-in Electric Vehicles Management in Smart Distribution Systems
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Chapter title
Plug-in Electric Vehicles Management in Smart Distribution Systems
Chapter number 3
Book title
Plug In Electric Vehicles in Smart Grids
Published by
Springer, Singapore, January 2015
DOI 10.1007/978-981-287-302-6_3
Book ISBNs
978-9-81-287301-9, 978-9-81-287302-6
Authors

Antonio Carlos Zambroni de Souza, Denisson Queiroz Oliveira

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Unspecified 1 20%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Engineering 4 80%
Unspecified 1 20%

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