高技术通讯2018，Vol.28Issue(1)：8-14,7.DOI:10.3772/j.issn.1002-0470.2018.01.002
基于云计算平台的风电场SCADA系统的设计与应用
Design and application of a wind farm SCADA system based on cloud computing platform
摘要
Abstract
Aiming at the large amount of multi-source and heterogeneous data accumulated by wind farms, a wind farm supervisory control and data acquisition(SCADA)system based on the cloud computing platform is designed with the help of cloud computing platform's advantages of architectura flexibility and parallel data processing.The intel-ligent data mining algorithm is adopted in the cloud computing platform of the system to complete the remote collec-tion,intelligent analysis and fault prediction of wind power generator's data.Finally, the power and rotor speed data reflecting the performance of the wind farm are selected and are analyzed by cluster analysis and regression analysis by using the two typical data mining algorithms of the adaptive weight based AFW-K-means and the least square support vector machine(SVM)to verify the feasibility of the system.关键词
数据采集与监控(SCADA)/云计算/数据挖掘/聚类/支持向量机(SVM)Key words
supervisory control and data acquisition(SCADA)/cloud computing/data mining/clustering/support vector machine(SVM)引用本文复制引用
梁涛,侯振国,邹继行,张迎娟..基于云计算平台的风电场SCADA系统的设计与应用[J].高技术通讯,2018,28(1):8-14,7.基金项目
河北省科技计划(16214510D)资助项目. （16214510D）
