Wide-area coherency identification of generators in interconnected power systems with renewables

Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this study, a wide-area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm based coherency identification method is presented for i...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 11; H. 18; S. 4444 - 4455
Hauptverfasser:	Lin, Zhenzhi, Wen, Fushuan, Ding, Yi, Xue, Yusheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 21.12.2017
Schlagworte:	agglomerative hierarchical clustering algorithm aggregated renewable sources coherency identification method coherent generator identification criteria importance through intercriteria correlation entropy Guangdong power system interconnected power systems islanding strategies New England–New York interconnected power system North America oscillation power system interconnection renewable energy sources Spearman's rank correlation coefficient Special Issue: New Trends in Wide-Area Monitoring and Control of Power Systems with Large Scale Renewables WAMS Western Interconnection power system widearea coherency identification methodology wide‐area coherency identification wide‐area measurement system renewable energy sources coherent generator identification wide-area measurement system North America wide-area coherency identification Spearman's rank correlation coefficient New England–New York interconnected power system entropy Western Interconnection power system interconnected power systems aggregated renewable sources coherency identification method power system interconnection criteria importance through intercriteria correlation WAMS oscillation islanding strategies agglomerative hierarchical clustering algorithm widearea coherency identification methodology Guangdong power system
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
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