Optimal Scheduling of a Self-Healing Building Using Hybrid Stochastic-Robust Optimization Approach

This article provides a two-stage robust energy management method for self-healing smart building that can handle contingencies occur during real-time operation. Aside from an electrical link with the distribution network, is equipped diesel generator and photovoltaic solar power generating systems. The system should be enough to plan different resources based on situation. At first, bilevel programming identifies critical faults affected components mean time repair. After identifying major failures, are described in operational scenarios, hybrid robust-stochastic technique used determine bid/offer day-ahead markets, which stochastic responsible considering uncertainty of faults, optimization approach cope market prices. linearization, final modeled as mixed-integer linear GAMS package. For studied building, daily cost expected increase $25.794 (for deterministic case) $ 28.097 most conservative due Due shortages caused by failure components, total not-supplied load 6.72 kW (2.53%). A comparison between naive scheduling indicated will charge additional 2.75 without probability failures under case.