摘要
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。
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.
作者
刘永前
梁超
阎洁
张静
LIU Yongqian;LIANG Chao;YAN Jie;ZHANG Jing(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China;Guodian Technology&Environment Group Corporation Limited,Beijing 100036,China)
出处
《中国电力》
CSCD
北大核心
2020年第12期143-150,共8页
Electric Power
基金
国家自然科学基金青年科学基金资助项目(51707063)
国家重点研发计划资助项目(2016 Y F B0900100)。
关键词
储能系统
混合配置
最优容量
遗传算法
经济性
风光电站
energy storage system
hybrid configuration
optimal capacity
genetic algorithm
economics
wind and solar power plant
