Chaos Prediction of Power Oscillation System Based on Deep Extreme Learning Machine

In this paper, after analyzing the second-order power chaotic oscillation system, the factors of electromagnetic interference and charge interference are analyzed by using bifurcation diagram, Lyapunov exponent and 0-1 test theory. The sensitivity of electromagnetic interference parameters in power system is studied. At the same time, the extreme learning machine algorithm is improved and optimized into the deep extreme learning machine(DELM) algorithm, which is applied to the speed or load prediction of the power system. The experimental results show that the deep learning machine algorithm can achieve the prediction well. It provides reference for power system operation.