Abstract
The aim of the paper is the fast transient stability assessment of electric power systems by using a fuzzy pattern recognition method. The assessment is performed by assuming several regions of stable and unstable classes for the purpose of classifying the system operating states, in order to avoid errors of classification. This method is suitable for on-line applications and its performance is illustrated by the transient stability analysis of a sample power system.
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