Research on Collaborative Optimization Algorithm of Distributed Energy Access Optimization Allocation and Scheduling in Distribution Network

In order to ensure the efficient and stable operation of the distribution network, this paper studies a new optimal allocation scheme for distributed energy in the distribution network. The model integrates the characteristics and complementary characteristics of multiple distributed power sources. An optimal allocation model for a new energy power system with multiple optimization objectives and constraints is established. The article adopts a new hybrid optimization method to solve this problem. A comprehensive optimal allocation method is established which considers multiple indicators such as economy, reliability, and environmental benefits, and is solved using a hybrid optimization method. This method organically combines the advantages of PSO and GA to achieve a good balance between global and local optimality. Computer simulation experiments have proved that this method is feasible and effective. The multi-objective optimization method based on genetic algorithm can effectively improve the energy utilization efficiency and economy in the distribution network. The research results of the project will provide new ideas and methods for promoting the intelligent and green development of distribution networks.