  The problem of multi-area interchange scheduling under system uncertainty is
considered. A new scheduling technique is proposed for a multi-proxy bus system
based on stochastic optimization that captures uncertainty in renewable
generation and stochastic load. In particular, the proposed algorithm
iteratively optimizes the interface flows using a multidimensional demand and
supply functions. Optimality and convergence are guaranteed for both
synchronous and asynchronous scheduling under nominal assumptions.
