Examining Power Grid's Capacity to Meet Transportation Electrification Demand
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