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基于鹦鹉算法优化VMD的混合储能功率分配策略

Hybrid Energy Storage Power Allocation Strategy Based on Parrot Algorithm Optimized VMD

  • 摘要: 为解决风电输出功率波动冲击电网的问题,提出利用磷酸铁锂电池和超级电容器组成的混合储能系统进行平抑。首先利用自适应滑动平均算法对风电输出功率进行分解,得到并网功率和混合储能需要平抑的功率,然后由POA优化VMD算法中的模态数K和惩罚系数α,再通过VMD对混合储能功率进行分解,实现混合储能内部的功率分配。算例分析表明,所提方法能够有效平抑风电波动,并确保混合储能内部功率合理分配,延长混合储能系统的使用寿命。

     

    Abstract: In order to solve the impact of wind power output fluctuation on the power grid, a hybrid energy storage system composed of lithium iron phosphate battery and super capacitor is proposed to stabilize. Firstly, the adaptive moving average algorithm is used to decompose the output power of wind power, and the power that needs to be stabilized for grid connected power and hybrid energy storage is obtained. Then, the modal number K and penalty coefficient α in VMD algorithm are optimized by POA, and then the hybrid energy storage power is decomposed through VMD to realize the internal power distribution of hybrid energy storage. The example analysis shows that the proposed method can effectively suppress the fluctuation of wind power, ensure the reasonable internal power distribution of hybrid energy storage, and extend the service life of hybrid energy storage system.

     

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