【摘要】 目前,风力发电已成为可再生能源发电主要方式,但风电大规模并网给电网安全运行带来了极大的挑战。提出一种混合储能分组控制优化策略。首先,基于并网波动标准采用自适应小波包分解和快速傅里叶变换得到并网参考功率并对混合储能系统进行初步功率分配。随后,采用模糊控制算法对超级电容的荷电状态(state of charge,SOC)进行动态优化,从而实现对超级电容和蓄电池功率指令修正。最后,针对蓄电组间SOC偏差问题,在双蓄电池控制策略基础上引入备用电池储能单元,构建三蓄电池组动态分组控制策略。通过算例仿真,与现有的蓄电池分组控制策略对比。结果表明:三蓄电池动态分组策略可使电池组间平均SOC偏差减少了9.34%,最大SOC偏差减少了15.57%。验证了三蓄电池组在改善充放电不平衡、电池组间等效SOC偏差增大等问题上的有效性。更多还原

【Abstract】 At present, wind power has been recognized as a primary renewable energy source, however, its large-scale grid integration poses significant challenges to power system stability. To address these challenges, a hybrid energy storage grouping control optimization strategy was proposed. Firstly, based on grid-connected fluctuation standards, adaptive wavelet packet decomposition and fast Fourier transform were employed to derive the grid-connected reference power, and preliminary power allocation within the hybrid energy storage system was carried out. Subsequently, the state of charge(SOC) of the supercapacitor was dynamically optimized using a fuzzy control algorithm, thereby enabling coordinated correction of its power commands. Finally, to mitigate SOC deviation among battery groups, a dynamic three-battery grouping control strategy was developed by introducing a standby battery unit into the dualbattery control framework. Compare with existing battery grouping control strategies through numerical simulations. The results show that the dynamic grouping strategy of three batteries can reduce the average SOC deviation between battery packs by 9. 34% and the maximum SOC deviation by 15. 57%. The effectiveness of three battery packs in alleviating charge-discharge imbalance and improving equivalent SOC deviation between battery packs is verified.更多还原