Optimization of Power Grid Infrastructure Project Management Based on Improved PSO Algorithm

The number of power grid construction projects is increasing, and there are a lot of problems in the construction process that need to be solved urgently. Due to the lack of risk analysis and prevention awareness of power companies in the management of infrastructure projects, some irreversible economic losses are prone to occur. To this end, this article intends to study and improve the PSO algorithm, conduct an in-depth study on the optimization of power grid infrastructure project management, and obtain results. This paper mainly uses the experimental test method to compare the improved PSO algorithm and the gray-level correlation particle swarm algorithm, and obtains the performance of the two algorithms in the power grid infrastructure data test. The experimental results show that the worst value of the improved PSO algorithm is 0.02, which is 1 smaller than the particle swarm algorithm with gray-scale correlation. This is the advantage of the improved PSO algorithm in calculation accuracy.