Abstract: Complex micro-grid topology, strong randomness of distributed clean energy output and flexible power demand have brought challenges to the economic and reliable operation of micro-grids, and the consumption of clean energy. Concerning this issue, a multi-objective optimization operation method of AC/DC hybrid microgrid considering multiple uncertainties was proposed. First, the uncertainty of wind power, photovoltaic power, AC/DC loads and electricity prices were characterized based on multi-scenario technology, and the load forecast level was updated in consideration of demand side response. Then, AC/DC hybrid micro-grid optimization model was established with the objective of the lowest operation cost, the least pollutant emission and the highest clean energy consumption rate. Aiming at the issue of local search ability and convergence of conventional NSGA-II algorithm, the beetle antennae operator was introduced into NSGA-II to obtain the BAS-NSGA-II algorithm, the accuracy of BAS-NSGA-II algorithm was verified by the test function. Finally, a simulation example was used to verify the method and the result shows that this method can effectively improve the consumption of clean energy while ensuring the economic and environmental protection, and it has a strong adaptability to uncertain factors.