Two-stage Robust Energy Management of a Self-healing Building

In this paper, a self-scheduling model is proposed to an autonomous self-healing building equipped with a diesel generator, photovoltaic system and is connected to distribution network to exchange electrical power. The proposed model consists of two phases, i.e., initialization and operation phases. At the initialization phase, a bi-level optimization model is framed to reveal the weak-points of the energy management scheme and critical faults that deteriorate the overall reliability and economic viability. To this end, failure rates and mean-time-to-repair of each component are involved. The outputs of the initialization phase are used for the generation of failure scenarios. The operation phase is constructed as two-stage stochastic programming exploiting the mentioned failure scenarios to find the optimal energy management scheme and power bids/offers in day-ahead and real-time energy markets. Due to the high volatility of real-time market prices, the robust optimization approach is proposed to cope with its uncertainty.