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.