Research on Dynamic Reconfiguration Method of New Distribution System Network to Enhance New Energy Carrying Capacity

With the continuous development of clean energy, a large number of distributed generation (DG) sources are connected to the distribution network, and the compatibility of the distribution network with renewable distributed energy sources has led to the diversification of optimization objectives. This paper first analyzes the impact of DG connection location and capacity on the distribution network based on a typical distribution network system. Then, a distribution network reconfiguration model is constructed. Considering the reliability and economy of the distribution network, a genetic algorithm is used to optimize the network reconfiguration structure and DG output, achieving a balanced distribution of energy across all branches. Finally, based on the IEEE33-node system, three typical scenarios with different DG connection capacities are considered to verify the effectiveness of the model.