An energy management strategy for multi-energy microgrid clusters based on Distributionally Robust Optimization

With the rapid development of distributed energy system, a large number of multi-energies microgrids (MEMGs) appear on the energy-using side, and the coordinated operation of adjacent multi-energy microgrids in the form of microgrids clusters will be an important trend for the future development of multi-energy microgrids. However, the renewable energy with high permeability brings high uncertainty to the multienergy microgrid clusters, based on this, this paper proposes a coordinated energy management method for multi-energy microgrid clusters based on decentralized operation framework, which aims to coordinate energy interaction among different stakeholders, and realize the equilibrium state of economy of the microgird clusters under the condition that the microgrid operators share limited information and make decisions independently. In addition, considering the impact of renewable energy output uncertainty on the safety of the multi-energy microgrid clusters, distributionally robust optimization is added to the optimization model to suppress the adverse impact of uncertainty and realize the safe and economic operation of the MEMGs. Finally, the results show that the proposed method can improve the economy and safety of the system and promote the effective utilization of comprehensive energy in the region.