Simulation Analysis of Optimized Configuration of Distributed Power

How distributed power access distribution networks bring the greatest benefits is closely related to the optimal configuration of distributed power supplies. This paper studies the grid-connected planning problem of DG, establishes the distribution network of DG model with the least active loss, power generation and power purchase cost as the objective function, and uses the improved hybrid particle swarm optimization (PSO) algorithm to access the distributed power supply for distribution network. The algorithm is based on the traditional particle swarm optimization algorithm and adopts the strategy of inertia weight adjustment based on dispersion, adjusts the weight according to the population environment information, and introduces the elite aging mechanism and replacement mechanism to apply the dual-population co-evolution. The strategy allows information between the various groups to be shared, so that the genetic and particle populations co-evolve in the process of optimization. However, by analyzing to the IEEE33 standard node power distribution system, the results show that the reasonable configuration of DG can effectively reduce the network loss and cost, and the proposed model and algorithm are reasonable and feasible.