  We study the interdependence between transportation and power systems
considering decentralized renewable generators and electric vehicles (EVs). We
formulate the problem in a stochastic multi-agent optimization framework
considering the complex interactions between EV/conventional vehicle drivers,
\revi{renewable}/conventional generators, and independent system operators,
with locational electricity and charging prices endogenously determined by
markets. We show that the multi-agent optimization problems can be reformulated
as a single convex optimization problem and prove the existence and uniqueness
of the equilibrium. To cope with the curse of dimensionality, we propose
ADMM-based decomposition algorithm to facilitate parallel computing. Numerical
insights are generated using standard test systems in transportation and power
system literature.
