Abstract:  In order to cope with large-scale new energy access, a two-stage optimization scheduling model of an active distribution network is constructed. Based on the IEEE 33-node distribution network model, a day-to-day scheduling model of an active distribution network is constructed by adding dispatchable loads such as electric vehicles and energy storage devices, and reactive power regulating devices such as capacitor banks, static reactive power compensation, and on-load voltage regulating transformers. In the pre-day stage, the output of each equipment in the distribution network in the next 24 hours is scheduled with the optimization goal of comprehensive operation cost. In the intra-day rolling optimization scheduling stage, day-ahead scheduling results of energy storage equipment, electric vehicles, and capacitor banks are taken as constraint conditions, and voltage stability, network loss, and new energy utilization are taken as optimization objectives. The rolling optimization cycle is 4 hours. After dispatching load access, the new energy consumption rate of day-ahead dispatching increased by 4. 41% , and the power purchase cost decreased from 472. 03 yuan to 446. 90 yuan. Compared with the day-ahead scheduling, the absorption rate of new energy in day-ahead scheduling is reduced by 0. 53% , and the maximum voltage offset of each node is reduced from 0. 060 0 to 0. 025 3. Experimental results show that the proposed two-stage scheduling model has a lower voltage offset and higher new energy utilization. 

Key words: two-stage model, active distribution network, optimal dispatching, second-order cone model