Inductive inference applied to on-line transient stability assessment of electric power systems

Abstract

A decision tree methodology is proposed for the purpose of predicting the robustness of a power system in the occurrence of severe disturbances, and of discovering appropriate control actions, whenever needed. The decision trees are built off-line and used on-line. Their building calls upon an inductive inference method, which automatically extracts the relevant information from large bodies of simulation data and expresses it in terms of the system controllable variables. The trees provide a clear understanding of the intricate mechanisms of transient stability, and means to control. This paper focuses on fundamental issues relative to the inductive inference method. A real world power system comprising 14 generators, 112 branches and 92 nodes is used to illustrate it.