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What is Contingency Ranking in Power Systems about?

This document discusses using supervised learning and artificial neural networks for online contingency screening and ranking in power systems. Specifically, it proposes using a feed-forward artificial neural network trained with historical data to classify contingencies by severity based on two performance indices - voltage-reactive power performance index and line MVA performance index. The effectiveness of this approach is demonstrated on the IEEE 39-bus test system. The overall accuracy of the neural ne

Author

Vitthal Patnecha

Language

EN