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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Bibliographic Details
Published in:	IET generation, transmission & distribution Vol. 11; no. 18; pp. 4444 - 4455
Main Authors:	Lin, Zhenzhi, Wen, Fushuan, Ding, Yi, Xue, Yusheng
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 21.12.2017
Subjects:	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
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Summary:	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 interconnected power systems with aggregated renewable sources. First, the trajectories measured by WAMS are transformed to the centre of inertia based ones for better representing the dynamic behaviour of a given power system, and ten trajectory dissimilarity indexes are presented for determining the similarity of the trajectories of any two generators. Second, a CRITIC (CRiteria Importance Through Intercriteria Correlation) based method, in which entropy and the Spearman's rank correlation coefficient are integrated for reflecting the differences and correlations among multiple indexes, respectively, is presented to integrate the trajectory dissimilarity indexes. Next, the AHC algorithm is utilised to identify CGs. Finally, a modified New England–New York interconnected power system with a large number of renewables, a simplified actual Western Interconnection power system in North America and the eastern part of Guangdong power system in China with a recorded oscillation event happened are utilised to demonstrate the proposed wide-area coherency identification methodology.
ISSN:	1751-8687 1751-8695
DOI:	10.1049/iet-gtd.2016.2053