Vulnerability analysis of power grid network against failures by state classification

Power grid can be viewed as a network of several entities closely integrated with each other, represented by tree structured connected graph. Propagation of disturbances can be quick in such closely tied multi-level systems. Fault emergence and spread is generally related to deviation in power quality parameters such as voltage, frequency, reactive power etc. Restoring power grid after a forced shutdown is a delicate balancing task requiring several hours. Such forced shutdowns can be prevented if faults were detected and isolated/resolved at the local level. In this paper, we propose a new grid health status monitoring system that monitors electrical and non-electrical system parameters to assess the health of the grid at different points. If a problem is detected, measures may be taken to correct or island that part of the system from rest of the grid. This will help in protecting rest of the system from damage enabling faster systematic recovery.