为解决混合储能系统的光伏输出功率波动性较大的问题,提出一种改进的局部均值分解(im-proved local mean decomposition,ILMD)的功率分配方案.对光伏发电出力进行平滑处理,可得到满足国家要求的光伏并网功率,利用ILMD对混合储能功率进行分解,确定其高频功率和低频功率并分别分配给超级电容和蓄电池,建立具有目标函数的功率优化模型,最大限度地降低整个系统全生命周期的投资成本,使用改进鲸鱼优化算法求解获得符合优化模型要求的容量配置.通过算例分析,对比不同的储能容量配置策略,验证所提策略的可行性.
Optimized configuration of hybrid energy storage capacity based on improved LMD
To overcome the problem of large fluctuations in photovoltaic output power,an improved local mean decomposition(ILMD)power allocation scheme was proposed for hybrid energy storage systems.By smoothing the output of photovoltaic power generation,the grid connected photovoltaic power that meets national require-ments can be obtained.The hybrid energy storage power is decomposed using ILMD,and its high-frequency and low-frequency power are allocated to supercapacitors and batteries respectively.A power optimization model with a target function is established to minimize the investment cost of the whole system life cycle.The improved whale optimization algorithm is used to obtain the capacity configuration that meets the requirements of the optimization model.By analyzing numerical examples and comparing different energy storage capacity configuration strategies,it is verified that the proposed strategy has higher feasibility.
volatilityhybrid energy storagelocal mean decompositioncapacity configuration
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