Research on Substation Fault Diagnosis and Maintenance Optimization Based on Big Data Analysis
In recent years,the scale of power system has been expanding,and the safe operation of power grid is facing new challenges.In the era of big data,the power grid structure is becoming more and more complex,and the requirements of power supply reliability in various industries are increasing,so it is very necessary to carry out fault diagnosis research of power system.Fast and accurate diagnosis and optimal maintenance of substation faults is an important guarantee to improve the reliability of power supply,and big data analysis provides new technical support for substation fault handling and maintenance.The big data analysis technology is introduced,and the architecture scheme of equipment condition monitoring platform is given according to the business development requirements of power system.Design a substation fault diagnosis and maintenance optimization system under big data,and propose a data model to reduce a large number of connection operations.Using Hadoop cluster to build a monitoring experimental platform,the model monitoring data loading and other aspects are tested,which verifies the effectiveness and feasibility of the model.
big data analysissubstationfault diagnosismaintenance optimization
NETL
NSTL
万方数据
