基于Hadoop架构的电能质量监测云模型研究

随着智能电网建设进程的加快。电能质量监测点不断增多，系统逐步完善。各种类型的监测和计算数据量急剧增加，呈大数据趋势。对于大数据的计算处理。云计算平台具有先天性优势。文章提出并初步实现了一种基于Hadoop架构的电能质量云模型，旨在整合传统计算存储资源，解决电能质量大数据的存储和计算问题。模型采用分层结构，以电网自然分层为基础，搭建分层电能质量云计算平台。整体采用面向服务的架构，各层以Hadoop架构搭建子云，并向上层主云提供服务。基于Hadoop架构的电能质量云模型不仅可以解决电能质量监测大数据的存储和计算问题，对解决智能电网中其他信息系统的大数据问题也具有参考意义。

Study of Hadoop Based Power Quality Monitoring Cloud Model

With the acceleration of smart grid construction, the continuous increasing amount of power quality monitoring sites and gradual improvement of the system, various types of monitoring and calculation data increase dramatically and show a trend of big data. Cloud computing is a distributed computing model which can allocate computing tasks into resource pools made up of a large number of computers. For big data computing and processing, cloud computing platform has inherent advantages. This paper presents and initially implements a power quality cloud model using the Hadoop, whose aim is to integrate traditional computing and storage resources to solve power quality big data storage and computing problems. The model uses hierarchical structures and sets up a hierarchical power quality cloud computing platform based on natural stratification grid. The architecture of the model is based on the SOA, but the sub-cloud built for each layer is based on the Hadoop and provides services for its higher layer. The Hadoop based power quality cloud model can not only solve the issues of power quality monitoring data storage and computation, but also have a reference for solving other information systems＇ big data problems in smart grid.