Abstract
ABSTRACT For on-line security assessment, mere is a need for a tool which, during a disturbance, will quickly recognize impacted system components. A Kohonen artificial neural network is described which can be used for coherency identification among generators. Additional information provided by this method makes it better than the conventional approach used to identify coherency for dynamic equivalencing. The method is tested on two representative power systems.
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