基于风速预测的爬山法改进  

作　　者：梅云初 孙培德[1] 

机构地区：[1]东华大学信息科学与技术学院,上海201620

出　　处：《科技创新与应用》2020年第16期6-9,共4页Technology Innovation and Application

摘　　要：大惯量风力发电机由于其大滞后特性,面对风速大规模变化时不能及时跟随。文章提出在变步长爬山法的基础上引入风速预测和叶尖速比控制,分析风速预测结果,寻找未来风速是否存在大规模变化趋势或平稳趋势,估算未来风速趋势下的最佳转速,作为下一步爬山算法的参考转速,及早跟随。在MATLAB中进行实验验证,结果显示对于大惯量风机,基于风速超短期预测的爬山法比传统爬山法能更快响应风速变化。Because of its large lag characteristic,large inertia wind turbine can not follow in time in the face of large-scale change of wind speed.This paper proposes to introduce wind speed prediction and blade tip speed ratio control on the basis of variable step-size mountain climbing method,analyze the prediction results of wind speed,find out whether there is a large-scale change trend or steady trend of wind speed in the future,and estimate the best speed under the trend of wind speed in the future,which,as the reference speed of the next mountain climbing algorithm,will follow as soon as possible.The experimental verification is carried out in MATLAB,and the results show that for large inertia fan,the mountain climbing method based on ultra-short-term prediction of wind speed can respond to the change of wind speed more quickly than the traditional mountain climbing method.

关 键 词：大惯量 风速变化 爬山法 风速预测 叶尖速比控制 

分 类 号：TM614[电气工程—电力系统及自动化]