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Real-time critical clearing time estimation by considering contingency conditions
Author(s)
Phootrakornchai, Witsawa
Date Issued
July 2, 2018
Type
Conference Paper
Abstract
This paper presents an approach called adaptive neuro-fuzzy inference system for the transient stability assessment by considering contingency conditions of networks. The contingency condition herein means a case of transmission outage and network configuration change. In addition, in this study all significant dynamic parameters of a power system (e.g. machine models, excitation systems, turbine governors, and load characteristic etc.) are considered for the estimation. We use the critical clearing time for the transient stability index. The 9-bus IEEE is applied for the power dynamic simulation. Finally, this study shows that the adaptive neuro-fuzzy inference system can be applied with the real-time critical clearing time estimation subject to contingency conditions and some parameters affecting the system's dynamic behavior are taken into account.
Citation
Ecti Con 2018 15th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 54-57, 2018