The application of Bayes classifier in power system security assessment

This paper proposes a probabilistic method for power system security assessment, using Bayes classifier. The Bayes classifier, one of data classification tools, can apply to the power system reliability area for calculations such as probabilistic security indices. The determination of security breach is a cumbersome and time-consuming process due to consideration of dynamic and steady state effects. The straight Monte Carlo simulation, one of the commonly used methods in power system reliability, requires evaluation of each sampled state and can result in high computation time. Once joint probability density of feature vectors is obtained, the Bayes classifier provides assessment of system security without complicated contingency analyses and can reduce the computational burden. Security status of a given feature vector can be determined by a Bayes rule, which can be implemented in power system reliability studies.

The application of Bayes classifier in power system security assessment Academic Article