摘要
风能具有随机性、不稳定性的特点,为了提高风力发电系统中风能的利用效率,在比较各种最大风能捕获算法的基础上,分析了爬山搜索法和叶尖速比法的不足,提出了自适应变步长搜索算法来捕获最大风能。通过改进爬山搜索法的变步长策略,明显加快了搜索速度,通过引入初始估计叶尖速比值,大大缩小了搜索范围。该算法不需要实时检测准确风速,不依赖风力机最佳功率曲线,有效地降低了成本,提高风力发电的效率。文中重点分析了算法的自适应性和变步长策略,仿真结果表明,该算法能够使风力机更快速到达最大功率点,动态响应快,收敛性好。
Wind power has the characteristics of randomness and instability, to improve the using efficiency of the wind energy, the lack of HCS algorithm and TSR algorithm are analysed based on the comparison of different maximum algorithm, and an adaptive variable step search algorithm is proposed to capture the maximum wind power. The search speed is significantly accelerated by improving？ step size strategy of HCS, the search scope is greatly narrowed through the introduction of TSR of the initial estimates. Real-time detec- tion speed isn＇ t required in this algorithm, which does not rely on the best wind turbine power curve, effectively reducing the cost and improve the efficiency of wind power. The adaptive and variable step size strategy of this algorithm is analysed in this paper, simulation results show that the algorithm can make wind turbines more quickly reach the maximum power point, fast dynamic response, good convergence.
出处
《控制工程》
CSCD
北大核心
2012年第1期69-72,共4页
Control Engineering of China
基金
国家自然科学基金(60772055)
关键词
风力发电
最大风能捕获
叶尖速比
爬山搜索法
wind power
maximum wind energy capture
tip-speed ratio
hill-climb searching algorithm
