基于大数据的电力故障分析系统研究  

Power failure analysis system based on big data

作　　者：张晓蕾[1] 陈珊[1] 马晓丽[1] 

机构地区：[1]石家庄信息工程职业学院,河北石家庄050035

出　　处：《电源技术》2016年第11期2245-2246,共2页Chinese Journal of Power Sources

摘　　要：电力故障是电力系统正常工作过程中不可避免的问题,对电力故障进行有效的监测分析是保证电网正常运行的关键。针对电力故障分析系统结合大数据处理展开研究,构建了主站与子站的电力故障监测分析分层模型,提出了基于Hadoop的大数据处理方案。该系统可以实现对电力故障的实时性高效分析,具有一定的推广价值。Power of normal fault in power system was inevitable in the process, effectively testing analysis of power failures was the key to ensure the normal operation of power grid. The study was evolved in power fault analysis system with big data disposal. Then the master station and son station power failure detection analysis of layered model were constructed. Big data processing scheme was proposed based on Hadoop. The real-time and efficient analysis of power failures were realized. It has certain promotion value.

关 键 词：电力故障 大数据 分层结构 HADOOP 

分 类 号：TM71[电气工程—电力系统及自动化]