陈燕,马春燕,谭沛然,窦银科,常晓敏.湍流值对风电功率预测的影响与分析[J].电测与仪表,2018,55(20):29-33. Chen Yan,Ma Chunyan,Tan Peiran,Dou Yinke,Chang Xiaomin.Influence and analysis of turbulence value on wind power prediction[J].Electrical Measurement & Instrumentation,2018,55(20):29-33.
湍流值对风电功率预测的影响与分析
Influence and analysis of turbulence value on wind power prediction
Wind power prediction is an effective means to reduce the phenomenon of abandonment of wind power. This paper provides a means that introduce turbulence value IT in Fuzzy C-Means algorithm (FCM), which can further enhance the similarity between the predicted samples and the training samples, avoid the negative impact of wind power fluctuation due to the decrease of the training samples. This method is verified on MATLAB platform, where the prediction result is generated based on measured dates from a wind farm in Shanxi by Support Vector Machine (SVM) and FCM. From the consequence we can see that FCM-IT-SVM can be able to strengthen the similarity of wind power, and reduce the error of wind power prediction effectively.