Transient Instability Prediction of Synchronous Generator using Decision Tree Technique
Authors: Bishal Jamarkattel, Bishal Silwal
Abstract— With rising electricity demand and a more complex power system, transient stability issues have become a major threat to power system reliability. At the present, systematic analysis of the power system to explore a method to further improve system stability is an essential necessity. In this paper, transient instability of power system is based on generator encounters the pole slipping point (i.e δ >±1800) under different scenarios, the event is referred to as out of step condition. On this basis, an input-output combination is built for decision tree formation. The performance of the proposed method is reviewed using an IEEE 9-bus system. The simulation results are presented and prioritized input features on the basis of prediction importance. The result of the proposed method demonstrates that DT provides simplified decision boundaries of input features to predict transient instability. The merit of DT is based on concentrate of data that has been distributed in a lower-dimensional configuration and rejecting irrelevant input features using the Gini Index concept.
Keywords—Transient Stability, out-of-step, rotor angle, Decision Tree
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Published In: International Conference on Role of Energy for Sustainable Social Development (RESSD-2022)
Date of Conference: 8th-9th August 2022
Conference Location: Bhaktapur, Nepal
Publisher: IEEE Power and Energy Society Nepal Chapter
Cite the paper as:
B. Jamarkattel, B. Silwal, “Transient Instability Prediction of Synchronous Generator using Decision Tree Technique”, International Conference on Role of Energy for Sustainable Social Development, 8th-9th August 2022, Bhaktapur, Nepal