摘要
本文利用蓄电池和超级电容具有的互补性,将蓄电池和超级电容混合储能应用于并网型的风光互补发电系统中,使风光互补发电系统满足电网的调度和规划要求。以系统成本最小为优化目标函数的HOMER仿真软件运算,对风光蓄发电系统容量进行初级优化。结合初级优化得出的蓄电池容量,利用遗传算法对蓄电池和超级电容混合储能系统进一步优化,从而获得最优系统容量优化配置。结合实例验证仿真和算法的合理性和可行性。
By taking advantage of the complementarity of batteries and super capacitors,the hybrid energy storage of batteries and super capacitors is applied to a grid-connected wind-PV hybrid power generation system,so that the system can meet the requirements of scheduling and planning of grid.HOMER simulation system is implemented to perform initial optimization on the system capacity,with the optimization objective function of minimum system cost.With the combination of battery capacity obtained from the initial optimization,a genetic algorithm is used to further optimize the battery-super capacitor hybrid energy storage system,thus realizing the system’s optimal capacity configuration.The rationality and feasibility of the simulation and algorithm are verified by examples.
作者
于东霞
张建华
王晓燕
高源
YU Dongxia;ZHANG Jianhua;WANG Xiaoyan;GAO Yuan(College of Hydraulic,Energy and Power Engineering,Yangzhou University,Yangzhou 225127,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2019年第10期59-65,共7页
Proceedings of the CSU-EPSA
基金
住房和城乡建设部研究开发资助项目(2016-K6-015)
关键词
风光储互补发电系统
容量优化配置
蓄电池
超级电容
HOMER仿真
wind-PV-storage hybrid power generation system
optimal capacity configuration
battery
super capacitor
HOMER simulation