Transient Stability Detection via Quick Estimation of the Critical Clearing Time Using Intelligent Systems with Energy Functions Based Inputs

Abstract

In this paper, for Transient Stability Assessment (TSA), an approach based on two sets of intelligent units proposed that are using the appropriate inputs to quickly and accurately determine the Critical Clearing Time (CCT). The appropriate inputs are maximum potential energy, minimum kinetic energy and the slope of minimum kinetic energy. Initially, the effectiveness of these inputs is investigated using an intelligent unit in Set 1 in order to accurately identify CCT. Then to estimate CCT more quickly, the appropriate inputs of the intelligent unit in Set 1 are estimated using three other intelligent units (Set 2). Simulation results show that in this case CCT is determined through simulating only 0.05 seconds of the system response. This indicates the suitability of the proposed method for on-line pre-disturbance TSA.