风电不确定性下储能SOC自适应双层调控策略

Adaptive Two-Layer Regulation Strategy for Energy Storage SOC under Wind Power Uncertainty

中文关键词:风储协同  不确定性建模  荷电状态滚动优化  自适应系数

keywords:wind-storage coordination  uncertainty modeling  SOC rolling optimization  Logistic adaptive coefficient

中文摘要:针对风电出力随机性与预测误差削弱其一次调频性能的问题，提出一种风电调频扰动建模与储能荷电状态（state of charge，SOC）双层优化方法。首先，基于风电调频不确定性建模，构建滚动视窗内的频率偏差-扰动联合估计模型，通过将频率约束等效为能量备份需求，预测并生成下一周期的SOC可行域，实现扰动感知的容量前馈与恢复窗口自适应优化；其次，在下层控制中，设计基于Logistic函数的SOC自适应充放电系数，实现功率-能量协调与边界平滑限幅，抑制极端SOC工况下的过充、过放与功率波动；最后，在阶跃、多阶跃及连续扰动场景下对所提方法进行仿真验证。结果表明，所提策略在系统频率支撑、SOC精准调控及抗扰性提升等方面，均展现出显著优势。

Abstract:To address the issue that the randomness of wind power output and prediction errors impair its primary frequency regulation performance，a two-layer optimization method for wind power frequency regulation disturbance modeling and energy storage state of charge （SOC） is proposed. First，based on the uncertainty modeling of wind power frequency regulation，a joint estimation model of frequency deviation and disturbance within the rolling window is constructed. By equating frequency constraints to energy backup requirements，the feasible region of SOC for the next cycle is predicted and generated，thus realizing disturbance-aware capacity feedforward and adaptive optimization of the recovery window. Second，in the lower-layer control，an SOC adaptive charging and discharging coefficient based on the Logistic function is designed to achieve power-energy coordination and smooth boundary limiting，and suppress overcharging，over-discharging and power fluctuations under extreme SOC conditions. Finally，the proposed method is verified by simulation under the scenarios of step，multi-step and continuous disturbances. The results demonstrate that the proposed strategy exhibits remarkable advantages in terms of system frequency support, accurate SOC regulation and immunity improvement.