Novel Clustering Method for Coherency Identification Using an Artificial Neural Network
نویسنده
چکیده
A novel clustering method mslng an artificial neural network (ANN) is presented to identify the coherent gekcrators for dynamic equivabnts of power systems. Flrst, a new fFpqueRcy measure ie dexlsad to Sndhte the degree of coherency rmong syaSem gemratom. Incarprating with $he frequency measure, a ncural network impkmearP;tion of the K-means algsrithni is then proposed to identify clusters of coherent generatars. The rotor speeds at thrm s e h W lactouts in timer are used as the feature patterns k t k leamlmg algorithm. To verify the effectivehess of the proposed method, extensive analyses are performed on two different power systems of varylng sizes with rather encouraging results.
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