1.School of Electric Power, South China University of Technology, Guangzhou 510640, China;2.Guangdong Key Laboratory of Clean Energy Technology (South China University of Technology), Guangzhou 510640, China;3.School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China;4.Dongguan Power Supply Bureau of Guangdong Power Grid Corporation, Dongguan 523009, China

Uncertainties of loads and distributed generators are the difficulties in the microgrid operation optimization. This paper proposes a day-ahead distributionally robust optimization method for grid-connected microgrid considering extreme scenarios to ensure the robustness and efficiency of microgrid energy management. Firstly, considering the uncertainty of sources and loads, a fuzzy set of probability distribution based on Wasserstein distance is constructed, and the fuzzy set is modified by the extreme scenario method to improve the robustness of the fuzzy set. Secondly, considering that the microgrid and the distribution network are different stakeholders in the grid-connected mode, the day-ahead operation optimization models of the microgrid and the distribution network are established respectively, and the improved analytical target cascading is used to carry out decoupling and iterative solution. Finally, effectiveness of the proposed method is verified by the simulation comparison.