考虑风电输出功率波动性的混合储能容量多级优化配置

Multistage optimal capacity configuration of hybrid energy storage considering wind power fluctuation

针对风力发电输出功率的强波动性以及微电网混合储能系统容量优化,提出了一种混合储能容量多级优化配置方法。该方法采用抗脉冲平均滤波法平滑风电原始输出功率,并结合经验模态分解与离散傅里叶分解的优势,分阶段分解混合储能功率,同时根据分解结果对混合储能容量进行配置。分解第一阶段采用经验模态分解,观察分解结果,确定分界点临近分量与高低频分量;分解第二阶段将临近分量重构采用离散傅里叶变换分解,根据年运行经济成本,确定最优频率分界点,进而得出次高频与次低频分量;最后根据2个阶段的分配结果得出混合储能元件的容量大小。仿真结果表明:该方法可以有效避免经验模态分解中模态混叠对容量配置的影响,提高分解精度,降低经济成本。

Aiming at solving the problem of wind power fluctuation and capacity optimization of microgrid hybrid energy storage system,this paper proposes a multistage optimal capacity configuration method for hybrid energy storage system.In this method,the anti-pulse average filtering method is used to smooth the original wind power fluctuation,and combined with the advantages of empirical mode decomposition and discrete Fourier transform,the hybrid energy storage power is decomposed stage by stage.At the same time,the hybrid energy storage capacity is configured according to the decomposition results.In the first stage,the stored energy is decomposed by using the empirical mode decomposition.Through observing the decomposition result,the boundary component,high frequency and low frequency component are determined.In the second stage,the boundary component is reconstructed and decomposed by the discrete Fourier transform,and according to the annual operating cost,the optimal frequency demarcation point is ascertained,and then the sub-high frequency and sub-low frequency component are obtained.Finally,the capacity of hybrid energy storage component is configured by the distribution result.The simulation results verifies that,the proposed method can effectively avoid the influence of modal aliasing on capacity allocation in empirical mode decomposition,improve the decomposition accuracy and reduce the economic cost.