Critical line identification applicable to power system cascading failures

Abstract

This paper aims to identify the critical line on the basis of power system cascading failure search. The proposed critical line identification strategy considers the factors of power flow and topology. Accordingly the electrical betweenness and transmission power are employed during analysis, of which the corresponding theoretical basis is deduced in simple systems. Next follow-up step is to apply the artificial neural network (ANN) technique to classify corresponding degrees. Finally the case studies are performed on the IEEE 39-bus test system to illustrate the validity of the proposed strategies and methods.