Day-ahead robust dispatch of interconnected multi-microgrids considering two-stage model of hybrid energy storage

The continuous penetration of renewable energy resources has led to the proliferation of interconnected multienergy microgrids due to the economic benefits brought through energy sharing. Meanwhile, different types of energy storage are being integrated into the multi-energy systems to provide flexibility. Devices in the system are divided into two categories in terms of their ability in rescheduling. From the perspective of power and capacity, a two-stage model of hybrid energy storage participating in pre-and re-dispatch is proposed to describe various conversion modes under two-time scales. Besides, the rescheduling ability over multiple consecutive periods is also guaranteed. In this paper, a distributed roust optimization is built to minimize the system's day-ahead operation costs, in which the upper level-energy sharing network is regarded as a kind of virtual energy storage. The microgrid operator can choose to work in the regular mode or demand response mode at the lower level. The combined analytical target cascading and column-and-constraint generation method is implemented to achieve convergence within 14 times. A case study verifies the advantages and effectiveness of the proposed method, which improves the system economy by 2.8 %.