Transient Stability Assessment of Power System Based on Evolutionary Forest
With the large number access of renewable energy and power electronic equipment,the inertia of the power system continues to decrease.In addition,the complex coupling characteristics and time-varying factors of new power systems have higher requirements for transient stability evaluation.In order to further improve the ability of transient stability assessment model to identify unstable samples,a transient stability assessment model of power system based on evolutionary forest algorithm is proposed.The three-stage feature selection strategy is used to construct the input sample set reflecting the running state of the power system.The proposed method is analyzed and verified on the modified New England 10-machine 39-node system.The experimental results show that the model has strong classification performance and good interpretability.