Multi-Area Interchange Scheduling Under Uncertainty

The problem of multi-area interchange scheduling under system uncertainty is considered in this paper. 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 interface flows using multidimensional demand and supply functions. Optimality and convergence are guaranteed for both synchronous and asynchronous scheduling under nominal assumptions.

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