Voltage ranking attempts to rank busbar voltage deviations from their norma
lly accepted security margins based on a set of performance indices (PI), w
ithout performing a full load flow. Existing methods suffer from either mas
king effects or long computation time. In this paper, an artificial neural
network method is proposed for voltage ranking Counterpropagation network (
CPN) has been employed to overcome the problems listed above. A variety of
input features are used with the aim of lowering the dimension of the propo
sed ANN to make it applicable for large power systems. The method is tested
on two example systems, a five-bus system and a 71-bus system with very en
couraging results.