基于模糊自适应卡尔曼滤波的风电场储能系统功率控制

发布时间：2018-03-10 04:28

本文选题：风力发电　切入点：全钒液流电池　出处：《电网技术》2014年06期 　论文类型：期刊论文

【摘要】：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(state of charge,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。
[Abstract]:A large scale vanadium liquid flow battery is used as the energy storage device of wind farm. The control strategy of energy storage system based on fuzzy adaptive Kalman filter is proposed. The control strategy adjusts the target value of active power of energy storage system with the state of charge SOC and SOC change rate, which effectively solves the problem of low pass filter phase delay. The simulation results show that the output power fluctuation of the wind farm is restrained and the SOC of the battery is effectively controlled, which prevents the overcharge and over-discharge of the battery. The life of energy storage system is prolonged.
【作者单位】：沈阳工业大学新能源工程学院;沈阳工程学院自动化学院;
【基金】：国家863高技术基金项目(2013AA050802) 辽宁省博士启动基金资助项目(20121057)~~
【分类号】：TM614

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