Impact assessment of reliability of phasor measurement unit on situational awareness using generalized stochastic Petri nets

Situational awareness (SA) in power systems enables timely and right decisions by the system operators to prevent a blackout. Real-time monitoring of the grid provides adequate SA for successful grid operations. Phasor measurement units (PMUs) are instrumental in providing with a comprehensive real-time view of the grid. They provide with time-aligned phasor measurements (synchrophasors) from different locations of the network. Therefore, PMUs are instrumental in SA. In this paper, effect of reliability of PMU modules on SA of the power system has been analysed. Reliability modelling of PMU and its modules has been done using generalized stochastic Petri nets (GSPNs). They provide a strong graphical representation and model minute details of a system accurately. The results of reliability analysis of modules obtained are employed to investigate their effect on SA through event tree analysis (ETA).