摘要
通过对离网式风力与光伏互补发电系统的研究,提出一种新型最佳性能匹配法,以获得风力和太阳能的最佳能量匹配组合,有效地优化系统性能参数。运用遗传算法搜索年总成本与系统性能最佳解决方案,与现有离网式系统比较,模型简化,计算效率高,通过仿真程序验证,有效地避免了过早收敛,为风光互补发电系统的程序编制和边远地区户用独立发电系统的设计提供了一定的依据。
By research of off-grid wind and photovoltaic hybrid generating system, a new optimum performance matching method is presented to achieve the best energy matching combination and optimize the performance parameters. It searches a best solution of the total costs and system performance by genetic algorithm compared with the existing off-grid system. The model is simplified and the computational efficiency is high. The result shows that premature convergence is avoided effectively, which is helpful to program the hybrid system of wind-solar power generation system and provide a certain basis of the independent household power system in remote areas.
出处
《微计算机信息》
2012年第10期48-50,共3页
Control & Automation
基金
基金颁发部门:辽宁省人事厅
项目名称:风能-太阳能复合发电系统的成本优化与最大能量利用控制技术研究
编号2008921038
基金申请人:张凤阁
王育欣
关键词
风光互补发电
最优配置
年总成本模型
遗传算法
wind-solar power generation
optimal allocation
total cost model
genetic algorithm
