Abstract

The main sources of emission today are from the electric power and transportation sectors. One of the main goals of a cyber-physical energy system (CPES) is the integration of renewable energy sources and grid able vehicles (GVs) to maximize emission reduction. GVs can be used as loads, sources and energy storages in CPES. a large CPES is very complex considering all conventional and green distributed energy resources, dynamic data from sensors, and smart operations (e.g., charging/discharging, control, etc.) from/to the grid to reduce both cost and emission. If large number of GVs are connected to the electric grid randomly, peak load will be very high. the use of conventional thermal power plants will be economically expensive and environmentally unfriendly to sustain the electrified transportation. Intelligent scheduling and control of elements of energy systems have great potential for evolving a sustainable integrated electricity and transportation infrastructure. the maximum utilization of renewable energy sources using GVs for sustainable CPES (minimum cost and emission) is presented in this paper. Three models are described, and results of the smart grid model show the highest potential for sustainability. © 2010 IEEE.

Department(s)

Electrical and Computer Engineering

Comments

National Science Foundation, Grant ECCS 0348221

Keywords and Phrases

Cyber-physical energy systems; emission; gridable vehicles; load leveling; optimization; renewable energy; smart grid

International Standard Serial Number (ISSN)

1937-9234; 1932-8184

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Sep 2010

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