Security analysis for system operation using Bayes classifier

This paper proposes a Bayes classifier for security assessment in power systems. In power system security analysis, characterization of certain contingencies using voltage stability and load curtailment is a cumbersome and time-consuming process. Bayes classifier provides assessment of system security without complicated contingency analysis and can reduce the computational burden. Security status of a given feature vector can be determined by maximum a posteriori probability rule based on Bayes rule. The case study of WSCC system is presented to demonstrate the efficiency of this approach.