Background: The security assessment plays a crucial role in the operation
of the modern interconnected power system network. Hence, this paper addresses the application of
k-means clustering algorithm equipped with the Principal Component Analysis (PCA) and silhouette
analysis for the classification of system security states.
Method: The proposed technique works on three principal axes; the first stage involves contingency
quantification based on developed insecurity indices, the second stage includes dataset preparation
to enhance the overall performance of the proposed method using PCA and silhouette analysis, and
finally, the application of the clustering algorithm over dataset has been included in the third stage.
The proposed composite insecurity index uses available synchronized measurements from Phasor
Measurement Units (PMUs) to assess the development of cascading outages.
Result: Considering different operational scenarios and multiple levels of contingencies (up to N-3),
Fast Decoupled Power Flow (FDPF) have been used for contingency replications.
Conclusion: The developed technique applied to IEEE 14-bus and 57-bus standard test system for
steady-state security evaluation. The obtained results ensure the robustness and effectiveness of the
established procedure in the assessment of the system security irrespective of the network size or