| Autor: |
Davodi, Moez, Reihani, Ehsan, Davodi, Mehdi |
| Předmět: |
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| Zdroj: |
International Review on Modelling & Simulations; Dec2010, Vol. 3 Issue 6, p1324-1329, 6p, 2 Diagrams, 3 Graphs |
| Abstrakt: |
This paper describes an improved technique for identification of coherent generators. In this method, the coherent generators are identified using a pattern recognition approach called K-Means clustering method. Based on the definition of coherency and hard clustering, similarity measures of swing curves of rotor angles of generators in the network are obtained. Coherency measure of the generators in coherent groups in electrical networks is also shown by bar diagram. One of the advantages of this method is the capability of separating of the network into arbitrary number of groups. In each separation, the accuracy of number of coherent groups and dynamic equivalences are investigated. After the separating the network into several groups, the generators in each group are aggregated into one equivalent generator. The proposed method is simulated on 39-bus, 10 generators New England test system. The obtained results show that the proposed method has a high accuracy in identification and aggregation of the coherent generators. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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