TY - JOUR
T1 - A robust optimization approach for planning the transition to plug-in hybrid electric vehicles
AU - Hajimiragha, Amir H.
AU - Cañizares, Claudio A.
AU - Fowler, Michael W.
AU - Moazeni, Somayeh
AU - Elkamel, Ali
PY - 2011/11
Y1 - 2011/11
N2 - This paper proposes a new technique to analyze the electricity and transport sectors within a single integrated framework to realize an environmentally and economically sustainable integration of plug-in hybrid electric vehicles (PHEVs) into the electric grid, considering the most relevant planning uncertainties. The method is based on a comprehensive robust optimization planning that considers the constraints of both the electricity grid and the transport sector. The proposed model is justified and described in some detail, applying it to the real case of Ontario, Canada, to determine Ontario's grid potential to support PHEVs for the planning horizon 2008-2025.
AB - This paper proposes a new technique to analyze the electricity and transport sectors within a single integrated framework to realize an environmentally and economically sustainable integration of plug-in hybrid electric vehicles (PHEVs) into the electric grid, considering the most relevant planning uncertainties. The method is based on a comprehensive robust optimization planning that considers the constraints of both the electricity grid and the transport sector. The proposed model is justified and described in some detail, applying it to the real case of Ontario, Canada, to determine Ontario's grid potential to support PHEVs for the planning horizon 2008-2025.
KW - Data uncertainty
KW - Ontario
KW - electric grid
KW - planning
KW - plug-in hybrid electric vehicle (PHEV)
KW - robust optimization
KW - transportation
UR - http://www.scopus.com/inward/record.url?scp=80054921603&partnerID=8YFLogxK
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U2 - 10.1109/TPWRS.2011.2108322
DO - 10.1109/TPWRS.2011.2108322
M3 - Article
AN - SCOPUS:80054921603
SN - 0885-8950
VL - 26
SP - 2264
EP - 2274
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
M1 - 5720537
ER -