Energy management
Author(s)
Bibliographic Information
Energy management
（Power systems, . Plug in electric vehicles in smart grids / Sumedha Rajakaruna,
Springer, c2015
- : [hardback]
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Note
Includes bibliographical references
Description and Table of Contents
Description
This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today's latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.
Table of Contents
Overview of Plug-in Electric Vehicles Technologies.- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing.- Plug-in Electric Vehicles Management in Smart Distribution Systems.- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid.- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.- Integration of Distribution Grid Constraints in an Event-driven Control Strategy for Plug-in Electric Vehicles in a Multi-aggregator Setting.- Distributed Load Management using Additive Increase Multiplicative Decrease based Techniques.- Towards a Business Case for Vehicle-to-Grid - Maximizing Profits in Ancillary Service Markets.- Integration of PEVs into Power Markets: A Bidding Strategy for a Fleet Aggregator.- Optimal Control of Plug-in Vehicles Fleets in microgrids.- Energy Management in Microgrids with Plug-in Electric Vehicles, Distributed Energy Resources and Smart Home Appliances.
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