【摘要】 利用随机森林算法,通过组合多棵基于随机向量的决策树对电力系统的暂态稳定性分类,提出了一种暂态稳定评估模型.在IEEE 16机和IEEE 50机测试系统进行的仿真验证了该模型对暂态稳定评估的有效性,其评估性能较经典决策树算法、人工神经网络、支持向量机和K最近邻方法均有提高.更多还原

【Abstract】 A model for the power system transient stability assessment based on random forest algorithm was presented.This model combines decision trees which depend on the values of a random vector sampled independently and with the same distribution.Simulation results on the IEEE 16-generator and IEEE 50-generator test systems show the validity of the proposed method.Its assessment performance is better than decision tree,artificial neural networks,support vector machine and K nearest neighbor.更多还原