Fault detection based on discriminant analysis theory in electric power system

Abstract

In the control of electric power systems, especially in the wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location can be detected quickly and defined exactly. In our researches, global information will be introduced into the backup protection system, basing on discriminant analysis theory of multivariate statistical analysis theory, we are going to seek after for the statistical laws of electrical quantities' marked changes by analyzing and computing real-time PMU measurements, so that we can carry out fast and exact identification of faulty components and faulty sections, and finally accomplish fault isolation. Multivariate statistical analysis theory is an efficient theory that can resolve different kinds of complex problems. It has been applied successfully to many researches of various fields. Discriminant analysis is an important theory in multivariate statistical analysis theory. A common approach to discriminant analysis is to apply the decision theory framework. In the study of electric power systems, discriminant analysis theory must also have a good prospect of application.