Research on Online Monitoring Data Storage of Intelligent Substation Based on Hadoop

4th International Conference on Energy Equipment Science and Engineering

Maalla, Allam^1 ; Ning, Xiaohong^1

Research Institute of Open Data Commercial Application, School of Information Technology and Engineering, Guangzhou College of Commerce, Guangzhou

511363, China^1

关键词: Distributed database;    Distributed file systems;    Hadoop Cloud Computing;    High-speed processing;    Information integration;    Online monitoring;    Performance tests;    Substation monitoring;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/2/022047/pdf
DOI  :  10.1088/1755-1315/242/2/022047

来源: IOP

【 摘 要 】

With the development of intelligent substation information integration, power monitoring data has grown exponentially. The characteristics and data monitoring mechanism of intelligent substation monitoring data are studied. Combined with Hadoop cloud computing technology, the reliable storage and online query method of online monitoring data of intelligent substation based on Hadoop is studied. The substation online monitoring and collection of massive power equipment data is redundantly stored in the distributed file system of Hadoop, and the index table structure of the online monitoring data is optimized and stored in a distributed database to realize rapid query of massive monitoring data. A Hadoop-based online monitoring data platform is established to conduct benchmark tests, sequencing tests, and online monitoring data read and write performance tests to meet the reliable storage and high-speed processing needs of large-scale online monitoring data of smart grid substations.