Identification of coherent generators using fuzzy c-means clustering algorithm and construction of dynamic equivalent of power system

Joint Authors

al-Arini, Mahdi M. M.
Fathi, Ahmad

Source

Journal of Electrical Systems

Issue

Vol. 6, Issue 2 (30 Jun. 2010), pp.1-18, 18 p.

Publisher

Piercing Star House

Publication Date

2010-06-30

Country of Publication

Algeria

No. of Pages

18

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Topics

Abstract EN

This paper presents a new simple method to identify the coherent groups of generators based on two different techniques; the first one is based on six proposed coherency criterions introduced by using time response of the linearized power system model; the second one is based on the application of fuzzy c-means clustering algorithm (FCM).

A new technique of constructing the dynamic equivalent of power system is also presented in this work.

The results obtained by the first technique are compared to those obtained by FCM technique.

The proposed method is applied on 14-Bus IEEE power system.

The obtained results proved that the proposed method is highly effective in determining the coherent groups of generators and in constructing the dynamic equivalent of power system with high accuracy.

American Psychological Association (APA)

al-Arini, Mahdi M. M.& Fathi, Ahmad. 2010. Identification of coherent generators using fuzzy c-means clustering algorithm and construction of dynamic equivalent of power system. Journal of Electrical Systems،Vol. 6, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-169320

Modern Language Association (MLA)

al-Arini, Mahdi M. M.& Fathi, Ahmad. Identification of coherent generators using fuzzy c-means clustering algorithm and construction of dynamic equivalent of power system. Journal of Electrical Systems Vol. 6, no. 2 (Jun. 2010), pp.1-18.
https://search.emarefa.net/detail/BIM-169320

American Medical Association (AMA)

al-Arini, Mahdi M. M.& Fathi, Ahmad. Identification of coherent generators using fuzzy c-means clustering algorithm and construction of dynamic equivalent of power system. Journal of Electrical Systems. 2010. Vol. 6, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-169320

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 18.

Record ID

BIM-169320