摘要
为减少风电波动率,提高并网可靠性,提出一种基于模糊经验模态分解(empirical mode decomposition,EMD)的储能系统平滑风电功率波动的控制策略。采用经验模态分解对风电功率进行滤波,低频分量并网,高频分量并入电池储能系统(battery energy storage system,BESS)。使用平滑后风电波动率和储能电池荷电状态(state of charge,SOC)作为约束条件,利用模糊控制算法,自适应在线调整EMD滤波阶数,通过模糊自适应控制器,能够更好地平滑风电波动。对比其他平抑风电功率储能控制策略,仿真实例表明,该方法可以有效地平抑风电功率波动,避免储能电池过充过放,稳定储能荷电状态。
To reduce the fluctuation rate of wind power and improve the reliability of grid,this paper proposes a control method of smoothing wind power output with battery energy storage system based on fuzzy empirical mode decomposition（ EMD）. Wind power is decomposed by EMD into two parts,the low-frequency part is used as wind power grid-connected value and the high-frequency part is stored by battery energy storage system（ BESS）. Taking the fluctuation rate of wind power output after smoothing and the state of charge（ SOC） as constraints,the orders of EMD filter can be adaptively adjusted on-line based on fuzzy control method,which can smooth wind power fluctuation better through fuzzy adaptive controller. Compared with another energy storage system control strategies for smoothing wind power,the simulation results show that the proposed method can effectively smooth the fluctuation of winds power output and avoid the over-charging and over-discharging of energy storage system so as to keep SOC stable.
出处
《电力建设》
北大核心
2016年第8期134-140,共7页
Electric Power Construction
基金
中央高校基本科研业务费专项资金资助项目(2015MS32)
北京市自然科学基金项目(4132061)
北京市科技新星计划项目(Z141101001814094)
国家电网公司科技项目(DG71-14-046)~~
