摘要
通过配置容量合适的蓄电池-超级电容器混合储能单元,可以提高风光互补发电系统供电的连续性和可靠性。该文在风力发电、光伏发电、蓄电池和超级电容器的稳态模型基础上,建立了蓄电池-超级电容器混合储能系统的容量优化模型,提出了混合储能单元的多目标优化函数,并对各种约束条件进行了探讨,采用遗传算法对目标函数进行了求解。通过对算例系统的求解,证明了该文所建模型和算法的正确性。结果表明,该文提出的方法可为风光互补发电系统中混合储能单元的容量优化提供参考。
Through allocating suitable capacity of battery-ultracapacitor hybrid storage unit, the continuity and reliability of wind-solar complementary generation system could be improved. Based on the steady-state models of wind power, solar power, battery and ultracapacitor, the capacity optimization model of the battery-ultracapacitor hybrid system was established in this paper. Considering various constraints, the multi-objective optimization functions of batteryultracapacitor hybrid system were proposed and solved with the genetic algorithm. With the example system, it demonstrated the correctness and validity of the proposed models and algorithms. The method can provide a reference for the capacity optimization of hybrid energy storage units in wind/solar generation system.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2011年第4期241-245,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金资助项目(50607002
50837001)
教育部留学回国人员科研启动基金项目
关键词
风光互补发电系统
混合储能
蓄电池
超级电容器
容量优化
遗传算法
wind-solar complementary generating system
hybrid energy storage
battery
ultracapacitor
capacity optimization
genetic algorithm
