罗琦, 杨俊华, 黄逸, 梁昊晖, 王超凡. 基于变分模式分解和向量自回归模型的波浪发电系统输出功率预测[J]. 太阳能学报, 2023, 44(3): 291-297. DOI: 10.19912/j.0254-0096.tynxb.2021-1210
引用本文: 罗琦, 杨俊华, 黄逸, 梁昊晖, 王超凡. 基于变分模式分解和向量自回归模型的波浪发电系统输出功率预测[J]. 太阳能学报, 2023, 44(3): 291-297. DOI: 10.19912/j.0254-0096.tynxb.2021-1210
Luo Qi, Yang Junhua, Huang Yi, Liang Haohui, Wang Chaofan. OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ON VARIATIONAL MODEL DECOMPOSITION AND VECTOR AUTOREGRESSIVE MODEL[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 291-297. DOI: 10.19912/j.0254-0096.tynxb.2021-1210
Citation: Luo Qi, Yang Junhua, Huang Yi, Liang Haohui, Wang Chaofan. OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ON VARIATIONAL MODEL DECOMPOSITION AND VECTOR AUTOREGRESSIVE MODEL[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 291-297. DOI: 10.19912/j.0254-0096.tynxb.2021-1210

基于变分模式分解和向量自回归模型的波浪发电系统输出功率预测

OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ON VARIATIONAL MODEL DECOMPOSITION AND VECTOR AUTOREGRESSIVE MODEL

  • 摘要: 为准确预测直驱式波浪发电系统的输出功率,提出基于变分模式分解和向量自回归模型预测方案。通过分析原始时间序列的相关性选择预测特征时间,应用变分模式分解方法将所选特征时间序列分解为不同子序列,经过单位根检验及差分运算,建立每个子序列的向量自回归模型,求和重构子序列模型预测结果获得所选特征的预测初值。建立了直驱式波浪发电系统的波能转换模型,仿真结果表明:所提方案模型具备合理性与可行性,模型预测结果稳定,预测精度高,预测趋势准确。

     

    Abstract: Aiming to accurately predict the output power of direct-drive wave power generation systems,a prediction scheme based on variational pattern decomposition and vector autoregressive model is proposed. The predicted feature time is selected by analysing the correlation of the original time series,and the selected feature time series is decomposed into different sub-series by applying the variational mode decomposition method,which is subjected to unit root test and difference operation to establish a vector autoregressive model for each sub-series. A wave energy conversion model for direct-drive wave power generation system is established. The simulation results show that the proposed scheme model is reasonable and feasible,with stable model prediction results,high prediction accuracy and accurate prediction trends.

     

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