Distributed real-time stability monitoring algorithms using synchrophasors

This paper proposes real-time stability monitoring algorithms using synchrophasor data in distributed architectures. By dividing the computations between a central computer and multitude of local computers at the substation level, the algorithms efficiently detect instability mechanisms in the large-scale power system from wide-area power system measurements. Algorithms for monitoring damping levels of oscillatory modes (small-signal stability), voltage security indices, and angle instability indicators are proposed and illustrated on archived synchrophasor data from real power systems.