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Capacity optimization of hybrid energy storage for smoothing power fluctuations based on spectrum analysis

机译:基于频谱分析的混合能量存储容量优化,用于平滑功率波动

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摘要

Reasonable configuration of hybrid energy storage system helps to reduce the influence of power fluctuations of wind output power effectively as well as the system cost. Not only considering the charge-discharge loss of energy storage, converter loss, the limit of State of Charge(SOC), but also practical parameters of energy storage device on the market, this paper proposes the method of optimal capacity configuration of hybrid energy storage system(HESS), which is composed of sodium-sulfur battery and super-capacitor based on discrete Fourier transform(DFT). Furthermore, in order to verify the validity of capacity optimization of HESS using proposed method, the model of a wind farm with HESS is established to simulate. The results show that HESS using the proposed method for optimal capacity allocation can level the fluctuations of wind out power effectively without the phenomenon of over-charging or over-discharging in energy storage devices.
机译:混合动力储能系统的合理配置有助于有效减少风能输出功率波动的影响以及系统成本。不仅考虑储能的充放电损耗,变流器损耗,荷电状态极限,还考虑市场上储能装置的实际参数,提出一种混合储能最佳容量配置方法。该系统由钠硫电池和基于离散傅里叶变换(DFT)的超级电容器组成。此外,为了验证所提方法对HESS容量优化的有效性,建立了具有HESS的风电场模型进行仿真。结果表明,采用该方法进行最优容量分配的HESS能够有效地平整出风功率的波动,而不会在储能装置中出现过度充电或过度放电的现象。

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