The Study of Hadoop-based Architecture for Power Quality Monitoring Cloud Model

The proposition of Power Quality Intelligent Information System provide an effect ive platform for the monitoring, analysis and processing to all kinds of power quality problems in Smart Grid.However,with the acceleration of Smart Grid construction,continue increasing of the amount of power quality monitoring sites and gradually improving of the system,various types of monitoring and calculating data increased dramat ically,showed a trend o f b ig data. Power quality Big Data will become the greatest obstacle of the efficiency and instantaneity of power quality analysis, processing and data mining,and the low efficiency system will also make it more and more unbearable to the users. In v iew of the power quality Big Data, we need to seek a new method of calculat ion. Cloud computing is a computing model which can d istributed computing tasks into resource pool make up of a large number of computers to parallel execution. For Big Data computing, cloud computing platform has its inherent advantages,which can integrate computing resources and greatly enhance the computational efficiency.This paper presents and initially implemented a Hadoop-based cloud computing architecture for power quality cloud model,whose aim is to integrate tradit ional computing and storage resources in power grid to solve power quality big data storage and computing problems. The model uses hierarchical structures and based on natural stratificat ion grid to set up a hierarchical power quality cloud computing platform on the data center of power grid at the provincial, city and county levels. The overall uses SOA architecture and encapsulates each layer and system in the form of service,and we should develop a common service bus. The layers build a subcloud based on Hadoop architecture.Each layer provides services to the upper main cloud. Through HDFS and HBase distributed data storage technology and MapReduce parallel computing technology in Hadoop,the power quality big data storage and analysis methods of parallelization are implemented,which can improve calculation efficiency and user experience. Hadoop-based architecture for power quality cloud model can not only solve power quality monitoring big data storage and computing problems,but also have the reference value to solve other informat ion systems' big data problems in Smart Grid. .