Contingency screening of power system based on rough sets and fuzzy ARTMAP

The paper adopts rough sets theory and fuzzy ARTMAP method to explore the online adaptive contingency classification in power system transient stability control. On the basis of contingency vector space model, the rough sets theory is applied to generalize the information system comprised by contingency samples set, and compute the best reducing properties set. So dimension of contingency feature space is reduced greatly, and disturbance in contingency classification is decreased too, which improves the efficiency of classification. In addition, using the advantage of adaptive classification and incremental learning of Fuzzy ARTMAP neural network, the online adaptive classification of contingency is achieved.