Transient stability preventive control of power systems using chaotic particle swarm optimization combined with two-stage support vector machine

•An improved Relief-Wrapper method for feature selection is proposed.•A two-stage support vector machine (SVM) method is proposed for security boundary approximation.•The chaotic search method is used for particle swarm optimization (PSO) to avoid premature convergence.•Economic and effective preventive control strategy is obtained using the chaotic PSO combined with two-stage SVM.