采用能量型储能和功率型储能组成的混合储能系统平抑光伏输出功率波动。利用小波包分解可获取更多信号细节信息的优点,综合分析光伏功率信号的幅频特性、储能的性能特点,将光伏功率信号分解,得到光伏平抑目标功率和不同类型储能的充放电功率。充分考虑实际工程应用中实时控制对运算速度的要求,并通过阈值判断补偿滤波延迟效应。采用模糊控制方法对功率型储能的荷电状态fstateofcharge,soc)进行自适应控制,实现功率的优化分配,提高平抑效果。算例结果表明,所提控制策略能够充分利用不同类型储能的性能优势有效平抑光伏输出功率波动。
In this paper, a hybrid energy storage system consisting of energy-type storage system and power-type storage system is used to smooth the PV power generation fluctuations. With a comprehensive analysis of the amplitude-frequency characteristics of PV power signal and the performances characteristics of different energy storage systems, the PV power signal is decomposed and the smoothing objective power and the charging and discharging power of energy storage systems are obtained by wavelet packet decomposition which can get more signals' detail information. Full consideration is given to the real-time control requirements for computing speed in practical application, and the filter delay effect is compensated through threshold judgment. SOC adaptive control of power-type storage system using fuzzy control method is applied to achieve optimal allocation and improve smoothing result. Numerical results show that the proposed control strategy can smooth the PV power generation fluctuations effectively by taking full advantages of the performance benefits of different types of energy storage systems.