TY - JOUR
T1 - Expansion Planning of Urban Electrified Transportation Networks
T2 - A Mixed-Integer Convex Programming Approach
AU - Wei, Wei
AU - Wu, Lei
AU - Wang, Jianhui
AU - Mei, Shengwei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2017/3
Y1 - 2017/3
N2 - Electric vehicles (EVs) have been widely acknowledged as one effective solution to alleviate the fossil fuel shortage and environmental pressure in modern metropolises. To foster the large-scale integration of EVs, transportation electrification is becoming an emerging trend. This paper proposes a comprehensive model for the expansion planning of urban electrified transportation networks (ETNs), which determines the best investment strategies for the TN and the power distribution network (PDN) simultaneously, including the sites and sizes of new lanes, charging facilities, distribution lines, and local generators. The steady-state distribution of traffic flow in the TN is characterized by the Nesterov user equilibrium (NUE). The operating condition of the PDN is described by linearized branch power flow equations. To consider the interdependency between the TN and PDN created by the charging behavior of EVs, the power demand of on-road charging facility is assumed to be proportional to the traffic flow it carries. The expansion planning model is formulated as a mixed-integer nonlinear program with NUE constraints. In order to retrieve a global optimal solution, it is further transformed into an equivalent mixed-integer convex program through duality theory and techniques of integer algebra; no approximation error is involved. Case studies on a test ETN corroborate the proposed model and method.
AB - Electric vehicles (EVs) have been widely acknowledged as one effective solution to alleviate the fossil fuel shortage and environmental pressure in modern metropolises. To foster the large-scale integration of EVs, transportation electrification is becoming an emerging trend. This paper proposes a comprehensive model for the expansion planning of urban electrified transportation networks (ETNs), which determines the best investment strategies for the TN and the power distribution network (PDN) simultaneously, including the sites and sizes of new lanes, charging facilities, distribution lines, and local generators. The steady-state distribution of traffic flow in the TN is characterized by the Nesterov user equilibrium (NUE). The operating condition of the PDN is described by linearized branch power flow equations. To consider the interdependency between the TN and PDN created by the charging behavior of EVs, the power demand of on-road charging facility is assumed to be proportional to the traffic flow it carries. The expansion planning model is formulated as a mixed-integer nonlinear program with NUE constraints. In order to retrieve a global optimal solution, it is further transformed into an equivalent mixed-integer convex program through duality theory and techniques of integer algebra; no approximation error is involved. Case studies on a test ETN corroborate the proposed model and method.
KW - Electric vehicle (EV)
KW - Nesterov user equilibrium (NUE)
KW - electrified transportation network (ETN)
KW - expansion planning
KW - interdependency
KW - power distribution network (PDN)
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U2 - 10.1109/TTE.2017.2651071
DO - 10.1109/TTE.2017.2651071
M3 - Article
AN - SCOPUS:85044992777
VL - 3
SP - 210
EP - 224
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 1
M1 - 7812564
ER -