Online dynamic security assessment using neural networks and the transient energy function method

摘要

This article presents a new artificial network(ANN)-based approach for online power system dynamic security assessment (DSA). The authors represent an application of feedforward neural networks in estimating the critical clearing time(t_cr) for transient stability analysis. Knowing that for a particular fault scenario, the t_cr is a function of only pre-fault system operating point, the main objective of the article is to show how one may develop an ANN- based method for estimating the t_cr by considering the smallest set of directly monitorable variables characterizing this operating point adequately. The proposed technique does not require any supplementary tools such as load-flow and/or transient stability software for input determination of the ANN.