Abstract: In the process of dynamic economic dispatching of active distribution network, the traditional method does not deal with the out of bounds of state variables in the objective function, and the voltage of active distribution network exceeds the upper limit, resulting in poor dispatching effect. Therefore, a dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm is proposed. The multi-region full distribution algorithm is used to implement opportunity constrained programming. According to the planning results, the corresponding multi-objective model is established, and the out of bounds of state variables in the objective function are processed in the form of penalty function, so as to avoid the voltage of active distribution network exceeding the upper limit and keep the voltage within the upper limit. According to the aspects of diesel engine generation climbing, line transmission, maximum interactive transmission power between main network and regional distribution network and energy storage unit, the constraints in economic dispatching are selected by Monte Carlo simulation method, the traditional particle swarm optimization algorithm is improved, and the improved results are used to solve the model, so as to achieve the purpose of dynamic economic dispatching. The simulation results show that the scheduling results of this method are effective and dynamic, with high scheduling accuracy and short scheduling time. It is suitable for the scheduling of photovoltaic and wind power in active distribution network, and has a good application prospect after continuous improvement.