Research on High Performance Computing of Power System Based on Machine Learning Algorithm

The change of power system operation mode can cause the change of the power equipment parameters, operation mode of the calculation with the power grid is gradually increasing with the increase of complexity. In order to solve the heavy workload and repetitive tasks, this paper, the machine learning algorithm is used to study and practice the high performance calculation of power grid operation mode. The linear regression algorithm, the logical regression two classification algorithm and the deep neural network algorithm are compared and analyzed, and the performance evaluation index is given.