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Research on the optimal configuration of hybrid energy storage

机译:混合储能系统优化配置研究

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The randomness and volatility of intermittent energy will make the power grid unstable. And energy storage is connected to the PCC (Point of Common Coupling) in order to stabilize the fluctuations, so that the impact caused by intermittent energy is reduced. The energy density of energy-type storage like battery is high, but the service life will be reduced fast if the storage is charged and discharged frequently. The energy density of power-type storage like super-capacitor is low, but its power density is high and the times of charging and discharging are large. This paper focuses on the optimal configuration of the hybrid energy storage system constructed of batteries and super-capacitors. FFT (Fast Fourier Transform) is for the spectral analysis of intermittent energy output during a control period and the output of the hybrid energy storage is calculated. Taking the cost and service life of batteries and super-capacitors into consideration, the optimization model with the target of minimum annual cost is established. At last the model is solved by PSO (Particle Swarm Optimization) algorithm and is verified in the study case.
机译:间歇能量的随机性和波动性将使电网不稳定。能量存储连接到PCC(公共耦合点)以稳定波动,从而减少了间歇性能量引起的冲击。能量型存储设备(如电池)的能量密度很高,但是如果频繁对存储设备进行充电和放电,则使用寿命会迅速降低。超级电容器等功率型存储器的能量密度低,但功率密度高,充放电次数大。本文重点研究由电池和超级电容器构成的混合储能系统的最佳配置。 FFT(快速傅立叶变换)用于在控制周期内对间歇性能量输出进行频谱分析,并计算混合能量存储的输出。考虑电池和超级电容器的成本和使用寿命,建立了以年最低成本为目标的优化模型。最后,通过粒子群优化算法对模型进行求解,并在研究案例中进行了验证。

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