基于预测控制储能系统平抑风电场并网波动功率

基于预测控制储能系统平抑风电并网波动功率的高、中、低频,在增大电网调度空间的基础上以提高全钒液流电池储能系统的使用寿命和运行经济性。首先,基于对山西晋北某风电场的预测功率数据异质点的判定结果,利用改进粒子群算法优化后的奇异值功率标准谱对预测波动功率修正;然后,利用离散小波变换将预测的风电场输出波动功率按频率划分为高、中、低频,并针对不同频段的波动功率分配合理的储能系统额定容量和输出功率以实现并网目标功率的预测控制。最后,实例验证所提方案可以在满足储能系统过充过放的前提下,使风电场平抑后的输出功率满足调度分配功率。

Based on energy storage system to stabilize prediction of grid connected power fluctuation in wind farm

According to the actual operation of wind data from a wind farm in the north of Shanxi province have predictive power data, determine the power point based on heterogeneous data, using IPSO to optimize the singular value standard power spectrum correction to predict the fluctuating power, according to the fluctuation power of different frequency bands, the reasonable storage capacity, the rated capacity, the power and the grid connected target power are chosen to predict and control. The results show that the proposed method can make the output power of the wind farm stabilize as much as possible to meet the dispatching power distribution.