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机构地区:[1]河海大学能源与电气学院,江苏南京210098
出 处:《可再生能源》2013年第2期43-47,共5页Renewable Energy Resources
基 金:教育部留学回国人员科研启动基金(2012-940);中央高校基本科研业务费项目(2009B19414)
摘 要:文章基于实数编码的遗传算法,对海岛风柴蓄复合发电的风力发电机组台数、柴油机台数和蓄电池容量进行优化设,设计中以每千瓦时电成本作为目标,最小失电率作为约束条件,能量调度按照风力发电-蓄电池电量-柴油机发电的策略。结果证明,采用优化功率分配方法比经验功率分配方法的运行成本低。文章还讨论了海岛风柴蓄复合发电系统的运行参数如风速、油价、风力机可靠性和负荷等参数变化后,实际的运行成本,并分析了成本变化的原因,为在海岛采用风柴蓄复合发电蓄电的设计提供参考。Wind diesel storage hybrid power system is one of the reliability approaches to provide electric power and fresh water by seawater desalination. However, wind diesel storage hybrid sys- tem power distribution often relies on the experience. This paper applied the real code genetic al- gorithms (GA) to distribute the wind turbine generator number, diesel generator number and the storage battery capacity, every kWh cost is set as objective function, the least loss of load probabil- ity (LLP) is chosen to the constrain term, energy is dispatched according to wind turbine power, storage battery power and diesel generator power sequence in optimization. Results show operation cost under the condition of optimization is lower than the design which relies on the experience. This paperalso predicts the operation costs when the running parameters, such as wind velocity, diesel price, wind turbine reliability and load, are changed, cost change reasons are also analyzed. This article can provide a reference to design the wind-diesel-storage power distribution in a soli- tary island.
分 类 号:TK6[动力工程及工程热物理—生物能] S216.4[农业科学—农业机械化工程]
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