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PSO-ABA Hybrid Algorithm for Balancing Wind Power Fluctuations by Energy Storage System

机译:PSO-ABA混合算法,用于平衡储能系统风电波动

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The optimization method of the energy storage device for the active output power of the wind farm is investigated to reduce the impact of wind farm output power fluctuation on the power grid. After establishing the standard deviation model about the charging and discharging power of the energy storage device, a new algorithm which is defined as PSO-ABA Hybrid Algorithm is proposed. And the feasibility of the algorithm is verified by several functions, such as Ackley function. In addition, the advantages and disadvantages are summarized. Then the optimal charging and discharging power of the energy storage device is obtained through the actual output power data of wind farm and grid power demand. Thereby, the problem of energy storage device stabilizing the output power fluctuations of wind farm is solved.
机译:研究了用于风电场的主动输出功率的能量存储装置的优化方法,以减少风电场输出功率波动对电网的影响。在建立关于能量存储装置的充电和放电功率的标准偏差模型之后,提出了一种被定义为PSO-ABA混合算法的新算法。算法的可行性由若干函数验证,例如Ackley函数。此外,总结了优点和缺点。然后通过风电场和电网电力需求的实际输出功率数据获得能量存储装置的最佳充电和放电功率。由此,解决了稳定风电场输出功率波动的能量存储装置的问题。

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