电力系统及其自动化学报2018，Vol.30Issue(1)：43-50,8.DOI:10.3969/j.issn.1003-8930.2018.01.007
Hadoop数据存储分析技术在风电并网系统中的应用
Application of Data Storage and Analysis Technology of Hadoop to Wind Power Grid-connected System
摘要
Abstract
With the expanding scale of wind power,the existing data processing scheme will be difficult to adapt to the requirements of wind power grid-connected environment due to mass data storage and efficient analysis. In this paper, Hadoop is applied to the storage and analysis of wind power data,and the storage scheme of wind power data based on Hadoop distributed file system(HDFS)is presented. The root mean square(RMS)transformation algorithm based on MapReduce is implemented,then the low voltage ride through(LVRT)test data stored in HDFS is analyzed and calcu-lated. Through the contrast experiment on storage time-consumption,the high efficiency of HDFS in the storage of LVRT data is verified. Through the contrast experiment on computational time-consumption of RMS algorithm,the supe-riority of the MapReduce algorithm in the analysis of LVRT data is proved. The results of an example show that it is fea-sible to use the data storage and analysis technology of Hadoop in the wind power grid-connected system.关键词
Hadoop/分布式文件系统/MapReduce/低电压穿越/存储耗时/计算耗时Key words
Hadoop/Hadoop distributed file system(HDFS)/MapReduce/low voltage ride through(LVRT)/stor-age time-consumption/computational time-consumption分类
信息技术与安全科学引用本文复制引用
韩平平,张祥民,丁明,张晓安..Hadoop数据存储分析技术在风电并网系统中的应用[J].电力系统及其自动化学报,2018,30(1):43-50,8.基金项目
国家自然科学基金资助项目(51207039) （51207039）
广东省引进创新科研团队计划资助项目(2011N015) （2011N015）
国家电网公司科技项目(NY71-14-036) （NY71-14-036）
