2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East 2011
DOI: 10.1109/isgt-mideast.2011.6220819
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Determination of generators coherent groups based on synchrophasors using bioinformatics toolbox

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Cited by 4 publications
(5 citation statements)
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“…11(b). 15,16,19,20,21,22,23,24,33,34, 35,36 1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,25,26,27,28,29,30,31,32,3 7,38,39…”
Section: B Case 2: Comparison With Community Detection Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…11(b). 15,16,19,20,21,22,23,24,33,34, 35,36 1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,25,26,27,28,29,30,31,32,3 7,38,39…”
Section: B Case 2: Comparison With Community Detection Methodsmentioning
confidence: 99%
“…To form self-sustained islands, generator coherency and generation/load imbalance need to be considered. In this paper, we treat generator coherency as the constraint and power flow disruption as the minimization objective as shown in (9).…”
Section: Iiian Adaptive Controlled Islanding Frameworkmentioning
confidence: 99%
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“…The methods in [11] and [12] used bioinformatics clustering technique and K-means clustering technique respectively, for the identification of coherent groups. However, both methods require a pre-specification of the number of clusters, which does not make them adaptive.…”
Section: Introductionmentioning
confidence: 99%
“…The ratio of accelerated kinetic energy is proposed in [8] to the identification of coherent generators. In [9], a Bioinformatics clustering technique is introduced for identifying the generator coherent groups based on information supplied by PMUs, within a certain window of time, after system contingencies. The Bioinformatics toolbox should be fed with the suggested number of clusters, hence results could be inexact if the suggested number of cluster is improper.…”
Section: Introductionmentioning
confidence: 99%