1.

Record Nr.

UNINA9910299614403321

Titolo

Plug In Electric Vehicles in Smart Grids : Energy Management / / edited by Sumedha Rajakaruna, Farhad Shahnia, Arindam Ghosh

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015

ISBN

981-287-302-3

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (322 p.)

Collana

Power Systems, , 1612-1287

Disciplina

333.79

388

530.8

621.042

629.8

Soggetti

Transportation

Automatic control

Energy systems

Energy policy

Physical measurements

Measurement

Control and Systems Theory

Energy Systems

Energy Policy, Economics and Management

Measurement Science and Instrumentation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

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.



Sommario/riassunto

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.