With the increasing complexity of power systems and the widespread penetration of renewable energy sources (RES)

real-time situational awareness for power systems is of great significance for operational scheduling. Considering the impact of RES on power system operations

a situational awareness key performance index (KPI) system for power systems with a high proportion of RES is proposed in this paper

which consists of reserve capacity abundance

ramp resource abundance

center of inertia (COI) frequency deviation

interface power flow margin

synthesized voltage stability

and angle stability margin. Then

the KPls are synthesized and visualized by the decision tree method and radar chart method

respectively

for monitoring the operation states (i.e.

normal

alert

and emergency states) of power systems with a high proportion of RES. Numerical simulations are conducted in a revised New England 16-machine 68-bus power system and an actual CEPRI-RE power system in the northwest region of China with a high proportion of RES. The results show that the proposed KPI-based situational awareness method is able to accurately monitor the real-time state of power systems with a high proportion of RES

and can assist power dispatchers to make effective decisions.