Distributionally Robust Energy Management of Multi-microgrid System with Uncertainty

With the increasing penetration of renewable generation into power system, the energy management of multi-microgrid (MMG) system has become an important problem. In this paper, a bi-level distributionally robust energy management model for MMG system with uncertain renewable generation is proposed. The distribution system operator (DSO) and each microgrid (MG) are considered as different entities with various objectives. In each MG, the Wasserstein distance based ambiguity set is utilized to describe the uncertain distribution of renewable generation. Due to the coupling power exchange, the alternating direction method of multipliers (ADMM) is applied to solve the problem in a decentralized manner. For individual MG energy management, the column and constraint generation (CCG) algorithm is used to solve it. Simulation experiments are carried out to validate the effectiveness of the proposed model based on a modified IEEE 33-bus system with three MGs.