Capacity Optimization Based on Energy Storage to Restrain Severe Fluctuation of Wind Power

Fu Xiaolin, Hong Wang, Zhijie Wang, Li Yongxin, J. Lv, Jin Ruijiu
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Abstract

In order to solve the coordination problem between the economy and the stabilization effect of energy storage system, a capacity optimization model based on energy storage to suppress the violent fluctuation of wind power is proposed, and a multi-objective function with the maximum wind power dissipation capacity and the minimum operating cost of energy storage system is established. Considering the average annual cost and penalty cost of the whole life cycle, an evaluation index with correlation coefficient as the fitting degree is proposed, and the reference power of wind farm grid connection is optimized by particle swarm algorithm. Using the operation data of Qidong Wind Farm in Jiangsu Province, the theoretical validity is verified, the coordination is improved to the greatest extent, and the capacity demand for energy storage system is reduced.
基于储能的容量优化抑制风电剧烈波动
为了解决储能系统的经济性与稳定效果之间的协调问题,提出了一种基于储能抑制风电剧烈波动的容量优化模型,建立了以风电耗散能力最大、储能系统运行成本最小为目标的多目标函数。考虑到风电场全生命周期的年平均成本和处罚成本,提出了以相关系数为拟合度的评价指标,并利用粒子群算法对风电场并网参考功率进行了优化。利用江苏省启东风电场的运行数据,验证了理论有效性,最大程度地提高了协同性,降低了储能系统的容量需求。
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