For the alternating current(AC)/direct current(DC) distribution network

on the one hand

the power transfer between feeders is realized through dynamic reconstruction

and on the other hand

the mobile energy storage provides power support in the local area. The two complement each other and cooperate to achieve the power balance across the entire region. To this end

this paper proposes a collaborative two-stage robust optimization method of AC/DC distribution network dynamic reconfiguration and mobile energy storage. Firstly

aiming at the operation range of the charging and discharging power of the actual energy storage battery

a scientific sampling method is adopted to obtain discrete data points. Based on these sampling points

the originally complex measurement-based energy storage battery model is transformed into a linear model that is convenient for analysis and calculation

accurately simulating the nonlinear attenuation characteristics of the power of the energy storage battery. Then

a hyperplane polyhedral set driven by data is used to describe the uncertainty of the power output of distributed photovoltaics. In order to achieve the efficient and economic operation of the AC/DC distribution network

based on the column and constraint generation (CCG) algorithm

a strong robust model for the dynamic topology optimization of the AC/DC distribution network that incorporates the coordinated operation of mobile energy storage is established. Subsequently

a simulation experiment is carried out by using the improved IEEE 33-bus system. The results fully demonstrate that this optimization strategy can significantly improve the economic performance of the system

proving the effectiveness of the method proposed in this paper.