风-光电站中储能系统混合最优配置及其经济性研究

储能是解决大规模可再生能源并网问题的重要手段，然而，储能系统的投资成本高、运维损耗大，且不同类型储能系统的技术经济参数存在差异。因此，研究不同类型储能系统的混合优化配置及其经济性具有十分重要的意义。提出风光电站内容量型和功率型储能系统混合配置优化方法，以储能系统全生命周期净收益最大为目标，采用遗传算法进行求解；以张家口地区风光电站实际运行数据和当前3种主流储能电池实际参数为例，分析不同敏感性因素对储能系统选型及容量配置的影响。算例结果表明：容量型储能系统的经济性对电池价格变化更为敏感；液流电池及超级电容混合配置的经济性最佳。

Optimal Configuration and Economic Study of Hybrid Energy Storage System in Wind and Solar Power Plants

Energy storage system (ESS) is important to solve the problem of large-scale renewable energy integration. However, in addition to its high investment cost, operation and maintenance loss, the technical and economic parameters of ESS’s vary significantly between different types. Therefore, it is of great significance to study the optimal configuration and conduct economic analysis of different types of ESS’s. In this paper, a hybrid configuration optimization method for capacity-based and power-based ESS’s in wind and solar power plants is proposed to maximize the net benefit of the ESS in its full life cycle. Based on the actual operation data of wind and solar power plants in Zhangjiakou and the actual parameters of three mainstream ESS’s, the influence of different sensitivity factors on the selection and capacity of ESS is analyzed. The results show that the economic performance of capacity-based ESS is more sensitive to its price changes while the liquid flow batteries combined with ultracapacitors demonstrate the best economics.