Research on Substation Intelligent Monitoring Scheme Under Big Data Environment

With the comprehensive implementation of 500kV unattended substation, centralized monitoring information is growing. For the requirement of fast treatment of monitoring information and data, big data theory has been gradually introduced in the field of power system. In this paper, the substation intelligent monitoring scheme under big data environment is investigated. Firstly, the substation centralized monitoring mode and present condition are introduced. Secondly, based on the theory of big data and the intelligent analysis algorithm, intelligent monitoring scheme is studied. The scheme mainly includes four aspects: intelligent inspection plan, signals intelligence surveillance, technical support of rapid fault treatment and auxiliary decision function. The implementation process of each functional module is analyzed and established, respectively. Finally, the actual operation interface of the intelligent monitoring system is presented. The scheme proposed in this paper can assist the monitor to fully understand the meaning of alarm signals, lighten the load of substation attendant and improve the accuracy and speed of the treatment in abnormal or accident circumstances, so as to guarantee the safe operation of power grid.