  Integration of plug-in electric vehicles (PEVs) with distributed renewable
resources will decrease PEVs' well-to-wheels greenhouse gas emissions, promote
renewable power adoption and defer power system investments. This paper
proposes a multidisciplinary approach to jointly planning PEV fast-charging
stations and distributed photovoltaic (PV) power plants on coupled
transportation and power networks. First, we develop models of 1) PEV
fast-charging stations; 2) highway transportation networks under PEV driving
range constraints; 3) PV power plants with reactive power control. Then, we
formulate a two-stage stochastic mixed integer second order cone program
(MISOCP) to determine the sites and sizes of 1) PEV fast-charging stations; 2)
PV power plants. To address the uncertainty of future scenarios, a significant
number of future typical load, traffic flow and PV generation curves are
adopted. This makes the problem large scale. We design a Generalized Benders
Decomposition Algorithm to efficiently solve it. To the authors' knowledge,
this work is the first that jointly plans both PEV fast-charging stations and
PV plants with consideration for PEV driving range limits and reactive PV power
control. We conduct numerical experiments to illustrate the effectiveness of
the proposed method, and validate the benefits of the joint planning and
adopting advanced PV reactive power control.
