Dynamic Programming Method For Distributed Power Consumption Capacity In Distribution Network Considering Flexibility Resource Optimization

The continuous growth of power load has driven the large-scale integration of renewable energy into the distribution network, but the widespread grid connection of distributed generation (DG) has significantly exacerbated problems such as uneven power flow distribution, line congestion, and voltage fluctuations, posing severe challenges to the flexibility of distribution network operation. To maintain the dispatchability of the system, it is necessary to focus on ensuring the capacity margin of the feeder and the compliance of the terminal node voltage. This study proposes a DG carrying capacity evaluation system that integrates system flexibility: firstly, a flexibility quantification method is established, then a flexibility improvement strategy is designed, and finally a carrying capacity analysis model is constructed. Based on the improved IEEE 33 node system, a multidimensional operating scenario is constructed, and a series of simulations are conducted to verify that the proposed method can effectively enhance system flexibility. Intelligent soft switches can significantly enhance the carrying capacity of DG and optimize the dynamic response characteristics of the system.