Critical clearing time determination of EGAT system using artificial neural networks

Currently, with the continuous interconnection and size increasing, the power systems become larger and more complex. Therefore, the study of transient stability for protection system design and planning is more difficult and takes more time due to system size and complexity. This paper proposes an application of artificial neural networks (ANNs) in transient stability study, with fast access to the answer of the power system stability. ANNs was used to determine the critical clearing time (CCT) of the Electricity Generating Authority of Thailand (EGAT) system. The results show that designed ANNs can estimate the CCT correctly.