Active distribution network is an effective technology to realize the integration of new energy into distribution network. Nowadays

the hierarchical partition optimal scheduling strategy based on regional autonomy and global optimization is adopted. Due to the unbalance of controllable resources in the active distribution network

the low regional autonomy ability may lead to the difficulty of autonomous management in real time

which makes the actual operation result deviate the planned value greatly and reduces the overall operation effectiveness of the system. Therefore

this paper mainly focuses on the satisfaction conditions of regional autonomy and the evaluation method of autonomy ability. Then

the robust chance constraint model is used to introduce the regional autonomy into the scheduling plan

and an optimal scheduling model of active distribution network considering regional autonomy is proposed. And later

to solve the model hierarchically

optimality condition decomposition methods are adopted. Lastly

the effectiveness of the proposed method is verified by the simulation analysis of an actual system in Zhejiang Province.