谢超.基于EEMD与模糊控制的混合储能控制策略[J].电测与仪表,2019,56(20):124-129. Xie Chao.Hybrid energy storage control strategy based on EEMD and fuzzy control[J].Electrical Measurement & Instrumentation,2019,56(20):124-129.
基于EEMD与模糊控制的混合储能控制策略
Hybrid energy storage control strategy based on EEMD and fuzzy control
为实现风电平滑并网，采用蓄电池和超级电容组成的混合储能系统平抑风电出力波动。本文提出了基于集合经验模态分解（Ensemble Empirical Mode Decomposition，EEMD）与模糊控制的混合储能控制策略。首先，利用集合经验模态分解（Ensemble Empirical Mode Decomposition，EEMD）对风电输出功率信号进行分解。根据低、高频固有模态函数（IMF）能量的明显差异确定EEMD滤波阶次。其次，按照风电并网波动率的限制要求，对滤波阶次进行调整，将符合波动率要求的低频分量并网，高频分量分配给混合储能系统。然后，对蓄电池和超级电容的实时荷电状态（State of Charge，SOC）进行判断，利用模糊控制对超级电容的功率指令进行优化，防止超级电容过充和过放。仿真实例表明，所提策略既能实现风电输出功率的合理分配，有效的抑制风电波动，又能使混合储能系统的SOC稳定在合理区间，提高储能系统的使用寿命。
英文摘要:
In order to achieve smooth grid connection of wind power, a hybrid energy storage system consisting of battery and super capacitor is used to stabilize the fluctuation of wind power output. First, the Ensemble Empirical Mode Decomposition (EEMD) is used to decompose the wind power output signal. According to the obvious difference between low and high frequency intrinsic mode functions (IMF), the order of EEMD filtering is determined. Secondly, according to the limitation of the fluctuation rate of wind power grid, the filter order is adjusted, the low frequency components conforming to the wave rate requirement are connected to the network, and the high frequency component is allocated to the hybrid energy storage system. Then, the real-time charge state (State of Charge, SOC) of the battery and supercapacitor is judged, and the power instruction of the supercapacitor is optimized by using fuzzy control to prevent supercapacitor overcharge and overdischarge. The simulation example shows that the proposed strategy can not only realize the rational distribution of the wind power output power, effectively suppress the wind power fluctuation, but also make the SOC of the hybrid energy storage system stable in the reasonable interval and improve the service life of the energy storage system.
