【摘要】 为平抑风力发电系统的出力波动，通过调整混合储能系统(hybrid energy storage system, HESS)的控制策略，满足并网波动限制，构建了一种基于风电功率预测的混合储能双层模糊控制策略。首先，利用改进的完全自适应噪声集合经验模态(improved complete ensemble empirical mode decomposition with adaptive noise, ICEEMDAN)对原始风电数据进行分解；其次，将改进的Adam算法与Transformer模型结合对各分量预测，预测结果叠加作为最终预测结果；最后，基于预测的风电功率波动状态和混合储能荷电状态(state of charge, SOC),对混合储能系统采用双层模糊控制策略进行调节，确保在风电平稳并网前提下，减少混合储能系统的过充、过放情况。结果表明：所提控制策略平抑风电出力达到更低的波动指标，保证可靠并网；并且控制混合储能系统的SOC在合理范围内，使系统整体性能得到提升。更多还原

【Abstract】 In order to smooth out the output fluctuation of wind power generation system, a hybrid energy storage dual-layer fuzzy control strategy based on wind power prediction was constructed by adjusting the control strategy of hybrid energy storage system(HESS) to meet the fluctuation limit of grid connection. Firstly, the improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN) was used to decompose the original wind power data. Secondly, the improved Adam algorithm and Transformer model were combined to predict each component, and the prediction results are superimposed as the final prediction result. Finally, based on the predicted wind power fluctuation state and state of charge(SOC) of the hybrid energy storage system, the dual-layer fuzzy control strategy was adopted to adjust the hybrid energy storage system to ensure that the overcharge and overdischarge of the hybrid energy storage system are reduced under the premise of smooth grid connection of wind power. The results demonstrate that the proposed control strategy achieves lower fluctuation indices in wind power output, ensuring reliable grid connection. Moreover, it maintains the SOC of the HESS within an optimal range, leading to an overall enhancement in the system’s comprehensive performance.更多还原