基于滑动最小二乘算法和电池荷电状态的储能 系统平滑控制策略

利用电池储能系统平滑间歇式电源的输出功率波动可以提高该类电源输出功率的稳定性。提出一种基于滑动最小二乘算法和电池荷电状态的电池储能系统实时控制策略。通过滑动最小二乘拟合算法确定储能系统的功率输出量，并辅助以荷电状态和最大波动功率限制调节，从而有效降低平滑控制过程中电池的充放电深度。实验结果显示，与传统基于滤波算法的控制策略相比，在获得相同平滑效果的情况下，新的控制策略具有更小的荷电状态波动量，可以较大程度降低所需电池容量，并延长电池的寿命。

An energy storage system smoothing control strategy based on sliding least square algorithm and battery SOC

Output fluctuation of intermittent sources can be mitigated by coordinating with ESS (energy storage system) so that output stability can be improved. This paper proposes a real time control strategy for ESS based on sliding least square algorithm and SOC (state of charge). Output power can be determined by sliding least square algorithm. Combined with regulation of SOC and maximum fluctuation power limit, discharge depth of ESS can be effectively reduced during the smoothing control process. The simulation results show that compared with traditional filter algorithm based control strategy, the proposed control strategy can achieve less SOC fluctuation, largely reduce required ESS energy capacity and lengthen battery lifecycle with identical smoothing effectiveness.