  Energy storage has great potential in grid congestion relief. By making
large-scale energy storage portable through trucking, its capability to address
grid congestion can be greatly enhanced. This paper explores a business model
of large-scale portable energy storage for spatiotemporal arbitrage over nodes
with congestion. We propose a spatiotemporal arbitrage model to determine the
optimal operation and transportation schedules of portable storage. To validate
the business model, we simulate the schedules of a Tesla Semi full of Tesla
Powerpack doing arbitrage over two nodes in California with local transmission
congestion. The results indicate that the contributions of portable storage to
congestion relief are much greater than that of stationary storage, and that
trucking storage can bring net profit in energy arbitrage applications.
