Chance-Constrained Outage Scheduling Using a Machine Learning Proxy
Chance-Constrained Outage Scheduling Using a Machine Learning Proxy
Outage scheduling aims at defining, over a horizon of several months to years, when different components needing maintenance should be taken out of operation. Its objective is to minimize operation-cost expectation while satisfying reliability-related constraints. We propose a data-driven distributed chance-constrained optimization formulation for this problem. To tackle tractability issues …