Research Article

Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm

Table 3

Real time test results of IEEE 30 node power system state estimation and anomaly detection identification.

Abnormal stateStart timeIdentification time of anomaly detectionDelay (s)

High temperature (overheating)09:23:2209:23:231
High temperature (overheating)09:23:4509:23:461
High temperature (overheating)10:02:2110:02:221
High temperature (overheating)10:11:3410:11:351
Low energy discharge08:34:2308:34:241
Low energy discharge09:12:0909:12:101
Low energy discharge11:34:1111:34:121
Low energy discharge12:23:0912:23:101
High energy discharge11:37:1111:37:121
Partial discharge19:34:2319:34:241