Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method

Scenario analysis plays an important role in the planning and operation of the island power supply system. In this paper, a cohesive hierarchical clustering based K-means clustering method is proposed and used for clustering analysis of typical scenarios of island power supply systems. At first, the...

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Autores principales:	Geng Niu, Yu Ji, Zhihui Zhang, Wenbo Wang, Jikai Chen, Peng Yu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Island power supply system Scenario analysis Clustering analysis Cohesive hierarchical clustering K-means clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/648a6013c368427aa7d826c726596dc4
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id	oai:doaj.org-article:648a6013c368427aa7d826c726596dc4
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spelling	oai:doaj.org-article:648a6013c368427aa7d826c726596dc42021-11-26T04:33:25ZClustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method2352-484710.1016/j.egyr.2021.08.049https://doaj.org/article/648a6013c368427aa7d826c726596dc42021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235248472100651Xhttps://doaj.org/toc/2352-4847Scenario analysis plays an important role in the planning and operation of the island power supply system. In this paper, a cohesive hierarchical clustering based K-means clustering method is proposed and used for clustering analysis of typical scenarios of island power supply systems. At first, the source and load characteristics of a typical island power supply system are analyzed. Then, three characteristic indexes to distinguish island types are proposed which can achieve the feature extraction of typical scenarios of island power supply systems. On this basis, the cohesive hierarchical clustering based K-means clustering method is proposed for the clustering analysis of typical scenarios of the island power supply system. A case study is made to verify the effectiveness of the proposed method. The case study results indicate that the proposed method can effectively classify different islands into several types, and the features of the typical scenarios of each type of island are analyzed.Geng NiuYu JiZhihui ZhangWenbo WangJikai ChenPeng YuElsevierarticleIsland power supply systemScenario analysisClustering analysisCohesive hierarchical clusteringK-means clusteringElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 250-256 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Island power supply system Scenario analysis Clustering analysis Cohesive hierarchical clustering K-means clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Island power supply system Scenario analysis Clustering analysis Cohesive hierarchical clustering K-means clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971 Geng Niu Yu Ji Zhihui Zhang Wenbo Wang Jikai Chen Peng Yu Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
description	Scenario analysis plays an important role in the planning and operation of the island power supply system. In this paper, a cohesive hierarchical clustering based K-means clustering method is proposed and used for clustering analysis of typical scenarios of island power supply systems. At first, the source and load characteristics of a typical island power supply system are analyzed. Then, three characteristic indexes to distinguish island types are proposed which can achieve the feature extraction of typical scenarios of island power supply systems. On this basis, the cohesive hierarchical clustering based K-means clustering method is proposed for the clustering analysis of typical scenarios of the island power supply system. A case study is made to verify the effectiveness of the proposed method. The case study results indicate that the proposed method can effectively classify different islands into several types, and the features of the typical scenarios of each type of island are analyzed.
format	article
author	Geng Niu Yu Ji Zhihui Zhang Wenbo Wang Jikai Chen Peng Yu
author_facet	Geng Niu Yu Ji Zhihui Zhang Wenbo Wang Jikai Chen Peng Yu
author_sort	Geng Niu
title	Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
title_short	Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
title_full	Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
title_fullStr	Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
title_full_unstemmed	Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method
title_sort	clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based k-means clustering method
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/648a6013c368427aa7d826c726596dc4
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Clustering analysis of typical scenarios of island power supply system by using cohesive hierarchical clustering based K-Means clustering method

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