A Hybrid Cloud Platform for Diversified Real-time Demand in Transformation Equipment Monitoring

The rapid development of smart grid needs a lot of investment in smart substation. Data collected in monitoring of transformation equipments growing remarkably fast, big data becomes increasingly evident. Though existing platforms or frameworks were designed for processing big data in power equipments monitoring, they were all based on Hadoop which is only suitable for offline data analysis. In order to meet diversified real-time demand of big data analysis in transformation equipment monitoring, a novel hybrid cloud platform based on mainstream open source technologies is designed in this paper. According to characteristics of monitoring data and real-time demand level of consumer, data can be processed by suitable computing framework within appropriate resource limits. In order to provide more insights into the effectiveness of the hybrid platform, case studies in different scenarios are conducted on a preliminary one.