Dynamic Monitoring Of Information in Large Scale Power Grids

This document proposes the software model for detection and analysis of cascading faults in the operation of large scale power grids. Using data mining technologies, probable patterns can be detected for faults and proper mitigation measures can be taken. Firstly, the fault is detected by checking the stability of system. Then event sequences are calculated to best approximate the fault node. Then by analyzing the severity of vulnerability and region in which vulnerability would occur, proper ICT Technologies can make operators aware about the faults. Hence, speeding up the existing mechanisms. This model aims to solve problem of detection more efficiently than existing systems.