A Study of Intelligent Evaluation of Power System Transient Stability Based on Improved SVM Algorithm

Abstract

Transient stability assessment of power system is the precondition of analyzing system transient stability, and it is the basis of effective analysis of power system transient stability. In order to better understand the operating state of the power system, this research builds a pinball loss SVM model based on the traditional SVMA algorithm to evaluate the transient stability of the power system. On this basis, the research takes a group of wind turbines as an example, and analyzes the calculation examples to verify the effectiveness of the pinball loss SVM model. The results show that the time limit of the proposed model is less than 10 seconds, and the average accuracy is about 94%. It can quickly and effectively evaluate the power system transient stability. It is hoped that this study can provide some reference for the evaluation of power system transient stability.