Transient Stability Analysis of Improved Communication Algorithm Based on Artificial Intelligence

This project intends to use the recently developed OpenMP parallel computing method to integrate the minimum-maximum reclassification method with the factor table path tree method. Then the different types of images are segmented. This method can decouple LU algorithm from other transient stability algorithms to realize parallel processing of multiple independent cores. Each core has high bandwidth and low latency reliable communication cut connections very close, capable of fine “multiple small” parallelism. According to the characteristics of hierarchical division of power grid, the communication time required in the implementation of this method is established, and the corresponding communication algorithm is given. This method can reduce the communication times required to solve the quadrative variables, improve the convergence of numerical simulation, and greatly improve the distributed parallel computing efficiency of transient stability. The experimental results show that the communication method proposed in this paper is feasible.