Short-term Wind Power Prediction Based on Data Stratification Pretreatment

摘要：

　　Wind speed and wind power prediction are the keys to solve the wind power grid problems.The invalid sample data affects the wind power model.To get the relationships of wind speed and wind power,layered statistics method is used to modify the wind power curve.This paper uses Grey model combine with Markov model to predict the modified data.In order to verify the predicted effect,BIN method and experienced power curve method are used for comparison.The results show that layered statistics method can eliminate the invalid data effectively and improve the accuracy of the prediction.

关键词： Wind power prediction Layered statistics Grey model Markov model

作者: Zhang Wei Deng Yuan-chang

作者单位: School of Engineering,Sun Yat-Sen University,Guangzhou 510006,China

会议类型: 国内会议

会议名称: 第八届中国(上海)国际风能展览会暨研讨会

会议地点: 上海

会议语种:英文

页码: 1-8

在线出版日期: 2014-04-08（万方平台首次上网日期，不代表论文的发表时间）