Examining Power Grid's Capacity to Meet Transportation Electrification Demand

Author

Zahra Darabi
Mehdi Ferdowsi, Missouri University of Science and TechnologyFollow

Abstract

Plug-in hybrid electric vehicles (PHEVs) are the most promising approach to reducing petroleum use. The penetration of PHEVs is not yet significant; however, they raised a question of whether the existing power system can handle the extra load. Uncertainty arising from various factors such as charging-start time, vehicle type, miles driven, and the existing power grid load profile have motivated researchers to evaluate the impact of PHEVs using probabilistic approaches. The present study develops a model for examining the existing power system capacity to meet the PHEV load demand. The analysis considers PHEV charging as a stochastic event, and it is carried out in a discrete event simulation environment. As case studies, the model is applied to two different regions in the United States.

Recommended Citation

Z. Darabi and M. Ferdowsi, "Examining Power Grid's Capacity to Meet Transportation Electrification Demand," Proceedings of the IEEE Power and Energy Society General Meeting (2012, San Diego, CA), Institute of Electrical and Electronics Engineers (IEEE), Jul 2012.

The definitive version is available at https://doi.org/10.1109/PESGM.2012.6345204

Meeting Name

IEEE Power and Energy Society General Meeting (2012: Jul. 22-26, San Diego, CA)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Event; Load Profiles; Maximum Generation; Outlet; Plug-In Hybrid Electric Vehicle; Discrete Event Simulation; Electric Utilities; Electric Power Distribution; Charging Demand; Load Profile; Transportation Electrification; Vehicles; Load Modeling; Power Grids; Stochastic Processes; Probabilistic Logic; Transportation; Battery Powered Vehicles; Hybrid Electric Vehicles; Probability

International Standard Book Number (ISBN)

978-1467327275; 978-1467327299

International Standard Serial Number (ISSN)

1944-9925; 1932-5517

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2012 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jul 2012