Power System Chaos Prediction Model Based on FLS-SVM via Reconstructed Phase Space

Chaos forecasting of power system and the difficulty in super parameters adjustment are studied.Fuzzy least square support vector machine method based on space reconstruction(RFLS-SVM) is adopted to improve the algorithm. Data space is reconstructed based on Takens embedding theorem,and the chaotic state of power system is forecasted and the forecasting precision is improved.And also RFLS-SVM kernel parameters adjustment method is studied to get a general conclusion.Numerical simulation results show that this method is effective.