Evoliving Artificial Neural Network Models for Voltage Contingency Ranking

摘要

This paper presents four different models of artificial neural network (ANN), namely Multi-layer feed-forward (BP) model, Modular neural network (MNN), Hybrid neural network (HNN), and Cascade neural network (CNN) for fast voltage contingency screening and ranking. The effectiveness of the proposed method is demonstrated for contingency screening and ranking at different loading conditions on two sample power systems. One of the pro- posed neural networks, CNN provides fast and accurate screening and ranking for unknown patterns and would be suitable for on-line applications at energy management center.