Critical Clearing Time Assessment in the Off-line Transient Stability Studies using Neural Network with Energy Functions-based Inputs

Message:
Abstract:
One of the important subjects in the dynamic security of large power systems is transient stability assessment for a set of probable disturbances. Due to changing system conditions, the critical clearing time calculation must be performed sequentially and in short time intervals. Although the computation is performed off-line, quick and accurate methods are needed because the computation amount is high and it must be repeated in short time intervals. In this paper a neural network is used to obtain an accurate estimation of the critical clearing time. The neural network inputs are minimal kinetic energy, critical energy and the slope of minimal kinetic energy curve. They are obtained using only one time simulation. The proposed method has been simulated on 9 and 39 - bus test systems. The results show that the designed neural network accurately estimates the critical clearing time.
Language:
Persian
Published:
Journal of Electrical Engineering, Volume:46 Issue: 1, 2016
Pages:
277 to 285
https://www.magiran.com/p1528344