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电网技术  2014 

基于模糊自适应卡尔曼滤波的风电场储能系统功率控制

DOI: 10.13335/j.1000-3673.pst.2014.06.007, PP. 1465-1470

Keywords: 风力发电,全钒液流电池,卡尔曼滤波器,电池荷电状态优化,功率波动

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Abstract:

以大规模全钒液流电池作为风电场的储能装置,提出了基于模糊自适应卡尔曼滤波的储能系统控制策略。控制策略以电池荷电状态(stateofcharge,SOC)和SOC变化率调整储能系统有功功率目标值,有效地解决了低通滤波相位延迟的问题,加快了电池的SOC恢复速度。仿真结果表明,采用上述控制策略后,风电场输出功率波动得到抑制,电池的SOC也得到有效控制,这防止了电池的过充过放,延长了储能系统的寿命。

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