基于几何加权移动平均滤波算法的改进储能平滑控制策略

摘要

For the current use of energy storage in the PV output smoothing,this paper introduces a geometric weighted moving average filtering algorithm to obtain the reference value of the energy output battery in the PV system so as to reduce the impact of PV power on the power grid.By improving the moving average filtering algorithm,the proposed algorithm not only improves the delay of the filter,but also has the ability of adaptive stabilization.On the basis of energy storage output reference value,a new method of modifying the reference value by fuzzy control is proposed,which maintains the state of charge (SOC) of the energy storage battery in a reasonable range to ensure that the energy storage battery has the best running condition and the minimum capacity configuration.%针对目前光伏并网中采用储能电池对光伏出力进行平滑,以降低光伏出力波动性对电网的影响,提出一种几何加权移动平均滤波算法,得到光伏并网系统中储能电池出力的参考值.该算法对移动平均滤波算法进行改进,不仅改善了滤波器的延迟性,而且具有自适应平抑的能力.在储能电池出力参考值的基础上,提出了采用模糊控制对该参考值进行修正的方法,使得储能电池的荷电状态维持在合理范围,保证储能电池具有最佳运行状态以及最少容量配置.