SHORT-TERM WIND SPEED PREDICTION BASED ON FRACTAL OPTIMIZATION OF VMD-GA-BP

被引：0

作者：

Quan Y. ^{[1
]}

Yu M. ^{[1
,2
]}

Wang W. ^{[1
,2
]}

Wei L. ^{[1
,2
]}

机构：

[1] College of Science, Wuhan University of Science and Technology, Wuhan

[2] Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Wuhan University of Science and Technology, Wuhan

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 07期

关键词：

back propagation network; fractal dimension; genetic algorithms; short-term wind speed prediction; variational mode decomposition;

D O I：

10.19912/j.0254-0096.tynxb.2022-0358

中图分类号：

学科分类号：

摘要：

In the background of the sharp reduction of traditional energy sources, there is an urgent need to propose an accurate wind speed prediction method to ensure the normal operation of power systems. This paper proposes for the first time the variational mode decomposition（VMD）and genetic algorithm（GA）based on fractal optimization. GA improved back propagation（BP）neural network model for short-term wind speed prediction. Firstly，the box-counting dimension algorithm was used to optimize the decomposition layers of VMD. Then，aiming at the non- stationarity of wind speed sequence，the original wind speed sequence was decomposed by the optimized VMD to obtain a relatively stable wind speed sub-sequence. Finally，the BP neural network improved by genetic algorithm was used to train and predict each modal component respectively，and the final prediction result was obtained by superimposing the predicted values of all components. The wind speed of a wind farm was predicted by this method，and the prediction results were compared with BP，VMD-ARMA，VMD-LSTM，VMD-BP and VMD-BP models based on fractal optimization. MAE，RMSE and MAPE were selected to evaluate the six models. The results show that the VMD-GA-BP model based on fractal optimization can significantly improve the prediction effect and reduce the wind speed prediction error. © 2023 Science Press. All rights reserved.

引用

页码：436 / 446

页数：10

共 25 条

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