Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations

Lena Ahmadi, Eric Croiset, Ali Elkamel, Peter L. Douglas, Woramon Unbangluang and Evgueniy Entchev
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Lena Ahmadi: Chemical Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Eric Croiset: Chemical Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Ali Elkamel: Chemical Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Peter L. Douglas: Chemical Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Woramon Unbangluang: Chemical Engineering Department, King Mongkut's University of Technology, Thonburi, Bangkok 10140, Thailand
Evgueniy Entchev: Energy Technology Centre, Natural Resource Canada, Ottawa, ON K1A 1M1, Canada

Energies, 2012, vol. 5, issue 12, 1-19

Abstract: Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid through an increase in electricity demand. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of peak and base load demands and the number of light-duty vehicles sold were developed. To create proper forecasting models, both linear regression (LR) and non-linear regression (NLR) techniques were employed, considering different ranges in the demographic, climate and economic variables. The results from the LR and NLR models were compared and the most accurate one was selected. Furthermore, forecasting the effects of PHEVs penetration is done through consideration of various scenarios of penetration levels, such as mild, normal and aggressive ones. Finally, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated for electricity production planning purposes.

Keywords: plug-in hybrid electric vehicle; electricity grid; peak load demand; base load demand; load forecasting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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