Optimal resilient scheduling strategy for electricity–gas–hydrogen multi-energy microgrids considering emergency islanding

Multi-energy microgrids (MEMG) are becoming increasingly popular. However, most existing MEMG works are mainly focused on economic operations while ignoring the MEMG’s potential to enhance power system resilience through emergency islanding from the maingrid during extreme events. To bridge this gap, a resilient scheduling strategy for electricity–gas–hydrogen MEMGs is proposed in this work considering emergency islanding constraints due to uncertain maingrid failure during extreme events. To efficiently deal with the emergency islanding uncertainty, a unified scheduling model that incorporates both normal and islanded operation constraints is proposed. The proposed unified scheduling model not only facilitates seamless switching between normal and resilient operation modes, but also enables controllable system preparedness under the resilient operation mode. To solve the formulated stochastic optimization model, an efficient distributed solution methodology is developed based on the progressive hedging (PH) algorithm. Further, an improved PH algorithm is proposed to accelerate the solution process. The superiority of the proposed methods is demonstrated in numerical experiments by reducing 0.45% of operational cost, 17.13% of computational time, and 91.05% of load loss even in the worst-case emergency islanding scenario.