Big Data Based State Evaluation Method for Secondary Devices in Substation

摘要

To overcome the shortcomings of data models of IEC61850 and IEC61970 CIM, a hierarchical structure modeling method for panoramic data of secondary devices in substation is proposed. Taking into account the big data characteristics of secondary device data, such as huge volume and type diversity, a method for massive secondary device data distributed storage and parallel analysis is proposed based on Hadoop and cloud computing platform. A parallel random forest algorithm, which is used for state evaluation of secondary device is designed and implemented base on Hadoop and cloud computing platform. The experimental results show the validity and high performance of our designed method.