Short-term prediction method of icing based on time series analysis and Kalman filter algorithm
A technology of time series analysis and Kalman filter, which is applied in the field of short-term prediction of icing based on time series analysis and Kalman filter algorithm, can solve the problems of insufficient prediction accuracy, achieve a high degree of automation, and shorten the modeling calculation time.
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[0081] Using the on-site data obtained by the icing online monitoring system, the icing data of transmission lines in Guizhou Power Grid in 2014 were collected, and these data were comprehensively counted, and the icing time series model was obtained as
[0082] X(t)+1.0836X(t-1)-0.1933X(t-2)+0.0138X(t-3)-0.0143X(t-4)
[0083] =ε(t)+1.3328ε(t-1)-0.5320ε(t-2)
[0084] After the icing time series model is established, a hybrid algorithm icing prediction based on time series analysis and Kalman filter algorithm is established with the help of MATLAB software, and the predicted value is calculated, as shown in image 3 As shown in the forecast effect diagram, the mixed algorithm forecasting model is used to predict the sample data, which can accurately predict the short-term increase and decrease trend of the line ice thickness, and due to the accumulation of errors, the algorithm model can predict after a few days The general trend of ice thickness increase and decrease is shown...
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