【摘要】 风光互补发电作为一种高效利用可再生能源的方式，尽管应用广泛，但在实际操作中仍面临诸多技术难题。为解决风光发电系统原始功率输出对电力系统稳定性的影响，充分发挥不同类型储能装置间的优势，通过两者的互补关系来实现混合储能系统(HESS)中功率的精确分配，采用一种基于全局搜索策略的鲸鱼优化算法与变分模态分解算法(GSWOA-VMD)对功率进行分配。通过滑动平均滤波算法确定并网功率和HESS需平抑的波动功率，并利用GSWOA-VMD分解风光功率波动。为进一步挖掘VMD算法剩余量中的信息，对其进行二次分解，完成HESS的初级功率分配。实验结果显示，该方法可精确分配储能系统的工作负荷，充分发挥不同类型储能的协同效应，显著改善并网功率的平稳性，从而提升电网运行的可靠程度。更多还原

【Abstract】 As an efficient way to utilize renewable energy, wind solar complementary power generation still faces many technical challenges in practical operation, despite its wide application. To address the impact of the original power output of wind and solar power generation systems on the stability of the power system and fully leverage the advantages of different types of energy storage devices and achieve precise power allocation in hybrid energy storage systems(HESS) through their complementary relationship, this paper adopts a whale optimization algorithm based on global search strategy and a variational mode decomposition algorithm(GSWOA-VMD) to allocate power. Determine the grid connected power and the fluctuating power that HESS needs to smooth out through the sliding average filtering algorithm, and use GSWOA-VMD to decompose the wind and solar power fluctuations. To further explore the information in the remaining amount of VMD algorithm, perform secondary decomposition to complete the primary power allocation of HESS. The experimental results show that this method can accurately allocate the workload of the energy storage system, fully leverage the synergistic effect of different types of energy storage, significantly improve the stability of grid connected power, and thus enhance the reliability of power grid operation.更多还原