  We investigate the effects of private electric vehicles (EVs) on the
resilience of distribution systems after disruptions. We propose a framework of
network-based multi-agent optimization problems with equilibrium constraints
(N-MOPEC) to consider the decentralized decision making of stakeholders in
transportation and energy systems. To solve the high-dimensional non-convex
problem, we develop an efficient computational algorithm based on exact convex
reformulation. Numerical studies are conducted to illustrate the effectiveness
of our modeling and computational approach and to draw policy insights. The
proposed modeling and computational strategies could provide a solid foundation
for the future study of power system resilience with private EVs in coupled
transportation and power networks.
